CudaKernels.cpp 327 KB
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/* -------------------------------------------------------------------------- *
 *                                   OpenMM                                   *
 * -------------------------------------------------------------------------- *
 * This is part of the OpenMM molecular simulation toolkit originating from   *
 * Simbios, the NIH National Center for Physics-Based Simulation of           *
 * Biological Structures at Stanford, funded under the NIH Roadmap for        *
 * Medical Research, grant U54 GM072970. See https://simtk.org.               *
 *                                                                            *
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 * Portions copyright (c) 2008-2015 Stanford University and the Authors.      *
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 * Authors: Peter Eastman                                                     *
 * Contributors:                                                              *
 *                                                                            *
 * This program is free software: you can redistribute it and/or modify       *
 * it under the terms of the GNU Lesser General Public License as published   *
 * by the Free Software Foundation, either version 3 of the License, or       *
 * (at your option) any later version.                                        *
 *                                                                            *
 * This program is distributed in the hope that it will be useful,            *
 * but WITHOUT ANY WARRANTY; without even the implied warranty of             *
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the              *
 * GNU Lesser General Public License for more details.                        *
 *                                                                            *
 * You should have received a copy of the GNU Lesser General Public License   *
 * along with this program.  If not, see <http://www.gnu.org/licenses/>.      *
 * -------------------------------------------------------------------------- */

#include "CudaKernels.h"
#include "CudaForceInfo.h"
#include "openmm/LangevinIntegrator.h"
#include "openmm/Context.h"
#include "openmm/internal/AndersenThermostatImpl.h"
#include "openmm/internal/CMAPTorsionForceImpl.h"
#include "openmm/internal/ContextImpl.h"
#include "openmm/internal/CustomCompoundBondForceImpl.h"
#include "openmm/internal/CustomHbondForceImpl.h"
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#include "openmm/internal/CustomManyParticleForceImpl.h"
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#include "openmm/internal/CustomNonbondedForceImpl.h"
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#include "openmm/internal/NonbondedForceImpl.h"
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#include "openmm/internal/OSRngSeed.h"
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#include "CudaBondedUtilities.h"
#include "CudaExpressionUtilities.h"
#include "CudaIntegrationUtilities.h"
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#include "CudaNonbondedUtilities.h"
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#include "CudaKernelSources.h"
#include "lepton/ExpressionTreeNode.h"
#include "lepton/Operation.h"
#include "lepton/Parser.h"
#include "lepton/ParsedExpression.h"
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#include "SimTKOpenMMRealType.h"
#include "SimTKOpenMMUtilities.h"
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#include <algorithm>
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#include <cmath>
#include <set>

using namespace OpenMM;
using namespace std;
using Lepton::ExpressionTreeNode;
using Lepton::Operation;

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#define CHECK_RESULT(result, prefix) \
    if (result != CUDA_SUCCESS) { \
        std::stringstream m; \
        m<<prefix<<": "<<CudaContext::getErrorString(result)<<" ("<<result<<")"<<" at "<<__FILE__<<":"<<__LINE__; \
        throw OpenMMException(m.str());\
    }

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static bool isZeroExpression(const Lepton::ParsedExpression& expression) {
    const Lepton::Operation& op = expression.getRootNode().getOperation();
    if (op.getId() != Lepton::Operation::CONSTANT)
        return false;
    return (dynamic_cast<const Lepton::Operation::Constant&>(op).getValue() == 0.0);
}

static bool usesVariable(const Lepton::ExpressionTreeNode& node, const string& variable) {
    const Lepton::Operation& op = node.getOperation();
    if (op.getId() == Lepton::Operation::VARIABLE && op.getName() == variable)
        return true;
    for (int i = 0; i < (int) node.getChildren().size(); i++)
        if (usesVariable(node.getChildren()[i], variable))
            return true;
    return false;
}

static bool usesVariable(const Lepton::ParsedExpression& expression, const string& variable) {
    return usesVariable(expression.getRootNode(), variable);
}

static pair<ExpressionTreeNode, string> makeVariable(const string& name, const string& value) {
    return make_pair(ExpressionTreeNode(new Operation::Variable(name)), value);
}

void CudaCalcForcesAndEnergyKernel::initialize(const System& system) {
}

void CudaCalcForcesAndEnergyKernel::beginComputation(ContextImpl& context, bool includeForces, bool includeEnergy, int groups) {
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    cu.setAsCurrent();
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    cu.clearAutoclearBuffers();
    for (vector<CudaContext::ForcePreComputation*>::iterator iter = cu.getPreComputations().begin(); iter != cu.getPreComputations().end(); ++iter)
        (*iter)->computeForceAndEnergy(includeForces, includeEnergy, groups);
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    CudaNonbondedUtilities& nb = cu.getNonbondedUtilities();
    bool includeNonbonded = ((groups&(1<<nb.getForceGroup())) != 0);
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    cu.setComputeForceCount(cu.getComputeForceCount()+1);
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    if (includeNonbonded)
        nb.prepareInteractions();
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}

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double CudaCalcForcesAndEnergyKernel::finishComputation(ContextImpl& context, bool includeForces, bool includeEnergy, int groups, bool& valid) {
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    cu.getBondedUtilities().computeInteractions(groups);
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    if ((groups&(1<<cu.getNonbondedUtilities().getForceGroup())) != 0)
        cu.getNonbondedUtilities().computeInteractions();
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    double sum = 0.0;
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    for (vector<CudaContext::ForcePostComputation*>::iterator iter = cu.getPostComputations().begin(); iter != cu.getPostComputations().end(); ++iter)
        sum += (*iter)->computeForceAndEnergy(includeForces, includeEnergy, groups);
    cu.getIntegrationUtilities().distributeForcesFromVirtualSites();
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    if (includeEnergy) {
        CudaArray& energyArray = cu.getEnergyBuffer();
        if (cu.getUseDoublePrecision()) {
            double* energy = (double*) cu.getPinnedBuffer();
            energyArray.download(energy);
            for (int i = 0; i < energyArray.getSize(); i++)
                sum += energy[i];
        }
        else {
            float* energy = (float*) cu.getPinnedBuffer();
            energyArray.download(energy);
            for (int i = 0; i < energyArray.getSize(); i++)
                sum += energy[i];
        }
    }
    return sum;
}

void CudaUpdateStateDataKernel::initialize(const System& system) {
}

double CudaUpdateStateDataKernel::getTime(const ContextImpl& context) const {
    return cu.getTime();
}

void CudaUpdateStateDataKernel::setTime(ContextImpl& context, double time) {
    vector<CudaContext*>& contexts = cu.getPlatformData().contexts;
    for (int i = 0; i < (int) contexts.size(); i++)
        contexts[i]->setTime(time);
}

void CudaUpdateStateDataKernel::getPositions(ContextImpl& context, vector<Vec3>& positions) {
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    cu.setAsCurrent();
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    const vector<int>& order = cu.getAtomIndex();
    int numParticles = context.getSystem().getNumParticles();
    positions.resize(numParticles);
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    Vec3 boxVectors[3];
    cu.getPeriodicBoxVectors(boxVectors[0], boxVectors[1], boxVectors[2]);
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    if (cu.getUseDoublePrecision()) {
        double4* posq = (double4*) cu.getPinnedBuffer();
        cu.getPosq().download(posq);
        for (int i = 0; i < numParticles; ++i) {
            double4 pos = posq[i];
            int4 offset = cu.getPosCellOffsets()[i];
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            positions[order[i]] = Vec3(pos.x, pos.y, pos.z)-boxVectors[0]*offset.x-boxVectors[1]*offset.y-boxVectors[2]*offset.z;
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        }
    }
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    else if (cu.getUseMixedPrecision()) {
        float4* posq = (float4*) cu.getPinnedBuffer();
        vector<float4> posCorrection;
        cu.getPosq().download(posq);
        cu.getPosqCorrection().download(posCorrection);
        for (int i = 0; i < numParticles; ++i) {
            float4 pos1 = posq[i];
            float4 pos2 = posCorrection[i];
            int4 offset = cu.getPosCellOffsets()[i];
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            positions[order[i]] = Vec3((double)pos1.x+(double)pos2.x, (double)pos1.y+(double)pos2.y, (double)pos1.z+(double)pos2.z)-boxVectors[0]*offset.x-boxVectors[1]*offset.y-boxVectors[2]*offset.z;
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        }
    }
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    else {
        float4* posq = (float4*) cu.getPinnedBuffer();
        cu.getPosq().download(posq);
        for (int i = 0; i < numParticles; ++i) {
            float4 pos = posq[i];
            int4 offset = cu.getPosCellOffsets()[i];
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            positions[order[i]] = Vec3(pos.x, pos.y, pos.z)-boxVectors[0]*offset.x-boxVectors[1]*offset.y-boxVectors[2]*offset.z;
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        }
    }
}

void CudaUpdateStateDataKernel::setPositions(ContextImpl& context, const vector<Vec3>& positions) {
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    cu.setAsCurrent();
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    const vector<int>& order = cu.getAtomIndex();
    int numParticles = context.getSystem().getNumParticles();
    if (cu.getUseDoublePrecision()) {
        double4* posq = (double4*) cu.getPinnedBuffer();
        cu.getPosq().download(posq);
        for (int i = 0; i < numParticles; ++i) {
            double4& pos = posq[i];
            const Vec3& p = positions[order[i]];
            pos.x = p[0];
            pos.y = p[1];
            pos.z = p[2];
        }
        for (int i = numParticles; i < cu.getPaddedNumAtoms(); i++)
            posq[i] = make_double4(0.0, 0.0, 0.0, 0.0);
        cu.getPosq().upload(posq);
    }
    else {
        float4* posq = (float4*) cu.getPinnedBuffer();
        cu.getPosq().download(posq);
        for (int i = 0; i < numParticles; ++i) {
            float4& pos = posq[i];
            const Vec3& p = positions[order[i]];
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            pos.x = (float) p[0];
            pos.y = (float) p[1];
            pos.z = (float) p[2];
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        }
        for (int i = numParticles; i < cu.getPaddedNumAtoms(); i++)
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            posq[i] = make_float4(0.0f, 0.0f, 0.0f, 0.0f);
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        cu.getPosq().upload(posq);
    }
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    if (cu.getUseMixedPrecision()) {
        float4* posCorrection = (float4*) cu.getPinnedBuffer();
        for (int i = 0; i < numParticles; ++i) {
            float4& c = posCorrection[i];
            const Vec3& p = positions[order[i]];
            c.x = (float) (p[0]-(float)p[0]);
            c.y = (float) (p[1]-(float)p[1]);
            c.z = (float) (p[2]-(float)p[2]);
            c.w = 0;
        }
        for (int i = numParticles; i < cu.getPaddedNumAtoms(); i++)
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            posCorrection[i] = make_float4(0.0f, 0.0f, 0.0f, 0.0f);
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        cu.getPosqCorrection().upload(posCorrection);
    }
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    for (int i = 0; i < (int) cu.getPosCellOffsets().size(); i++)
        cu.getPosCellOffsets()[i] = make_int4(0, 0, 0, 0);
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    cu.reorderAtoms();
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}

void CudaUpdateStateDataKernel::getVelocities(ContextImpl& context, vector<Vec3>& velocities) {
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    cu.setAsCurrent();
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    const vector<int>& order = cu.getAtomIndex();
    int numParticles = context.getSystem().getNumParticles();
    velocities.resize(numParticles);
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    if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
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        double4* velm = (double4*) cu.getPinnedBuffer();
        cu.getVelm().download(velm);
        for (int i = 0; i < numParticles; ++i) {
            double4 vel = velm[i];
            int4 offset = cu.getPosCellOffsets()[i];
            velocities[order[i]] = Vec3(vel.x, vel.y, vel.z);
        }
    }
    else {
        float4* velm = (float4*) cu.getPinnedBuffer();
        cu.getVelm().download(velm);
        for (int i = 0; i < numParticles; ++i) {
            float4 vel = velm[i];
            int4 offset = cu.getPosCellOffsets()[i];
            velocities[order[i]] = Vec3(vel.x, vel.y, vel.z);
        }
    }
}

void CudaUpdateStateDataKernel::setVelocities(ContextImpl& context, const vector<Vec3>& velocities) {
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    cu.setAsCurrent();
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    const vector<int>& order = cu.getAtomIndex();
    int numParticles = context.getSystem().getNumParticles();
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    if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
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        double4* velm = (double4*) cu.getPinnedBuffer();
        cu.getVelm().download(velm);
        for (int i = 0; i < numParticles; ++i) {
            double4& vel = velm[i];
            const Vec3& p = velocities[order[i]];
            vel.x = p[0];
            vel.y = p[1];
            vel.z = p[2];
        }
        for (int i = numParticles; i < cu.getPaddedNumAtoms(); i++)
            velm[i] = make_double4(0.0, 0.0, 0.0, 0.0);
        cu.getVelm().upload(velm);
    }
    else {
        float4* velm = (float4*) cu.getPinnedBuffer();
        cu.getVelm().download(velm);
        for (int i = 0; i < numParticles; ++i) {
            float4& vel = velm[i];
            const Vec3& p = velocities[order[i]];
            vel.x = p[0];
            vel.y = p[1];
            vel.z = p[2];
        }
        for (int i = numParticles; i < cu.getPaddedNumAtoms(); i++)
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            velm[i] = make_float4(0.0f, 0.0f, 0.0f, 0.0f);
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        cu.getVelm().upload(velm);
    }
}

void CudaUpdateStateDataKernel::getForces(ContextImpl& context, vector<Vec3>& forces) {
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    cu.setAsCurrent();
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    long long* force = (long long*) cu.getPinnedBuffer();
    cu.getForce().download(force);
    const vector<int>& order = cu.getAtomIndex();
    int numParticles = context.getSystem().getNumParticles();
    int paddedNumParticles = cu.getPaddedNumAtoms();
    forces.resize(numParticles);
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    double scale = 1.0/(double) 0x100000000LL;
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    for (int i = 0; i < numParticles; ++i)
        forces[order[i]] = Vec3(scale*force[i], scale*force[i+paddedNumParticles], scale*force[i+paddedNumParticles*2]);
}

void CudaUpdateStateDataKernel::getPeriodicBoxVectors(ContextImpl& context, Vec3& a, Vec3& b, Vec3& c) const {
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    cu.getPeriodicBoxVectors(a, b, c);
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}

void CudaUpdateStateDataKernel::setPeriodicBoxVectors(ContextImpl& context, const Vec3& a, const Vec3& b, const Vec3& c) const {
    vector<CudaContext*>& contexts = cu.getPlatformData().contexts;
    for (int i = 0; i < (int) contexts.size(); i++)
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        contexts[i]->setPeriodicBoxVectors(a, b, c);
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}

void CudaUpdateStateDataKernel::createCheckpoint(ContextImpl& context, ostream& stream) {
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    cu.setAsCurrent();
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    int version = 2;
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    stream.write((char*) &version, sizeof(int));
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    int precision = (cu.getUseDoublePrecision() ? 2 : cu.getUseMixedPrecision() ? 1 : 0);
    stream.write((char*) &precision, sizeof(int));
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    double time = cu.getTime();
    stream.write((char*) &time, sizeof(double));
    int stepCount = cu.getStepCount();
    stream.write((char*) &stepCount, sizeof(int));
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    int stepsSinceReorder = cu.getStepsSinceReorder();
    stream.write((char*) &stepsSinceReorder, sizeof(int));
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    char* buffer = (char*) cu.getPinnedBuffer();
    cu.getPosq().download(buffer);
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    stream.write(buffer, cu.getPosq().getSize()*cu.getPosq().getElementSize());
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    if (cu.getUseMixedPrecision()) {
        cu.getPosqCorrection().download(buffer);
        stream.write(buffer, cu.getPosqCorrection().getSize()*cu.getPosqCorrection().getElementSize());
    }
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    cu.getVelm().download(buffer);
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    stream.write(buffer, cu.getVelm().getSize()*cu.getVelm().getElementSize());
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    stream.write((char*) &cu.getAtomIndex()[0], sizeof(int)*cu.getAtomIndex().size());
    stream.write((char*) &cu.getPosCellOffsets()[0], sizeof(int4)*cu.getPosCellOffsets().size());
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    Vec3 boxVectors[3];
    cu.getPeriodicBoxVectors(boxVectors[0], boxVectors[1], boxVectors[2]);
    stream.write((char*) boxVectors, 3*sizeof(Vec3));
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    cu.getIntegrationUtilities().createCheckpoint(stream);
    SimTKOpenMMUtilities::createCheckpoint(stream);
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}

void CudaUpdateStateDataKernel::loadCheckpoint(ContextImpl& context, istream& stream) {
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    cu.setAsCurrent();
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    int version;
    stream.read((char*) &version, sizeof(int));
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    if (version != 2)
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        throw OpenMMException("Checkpoint was created with a different version of OpenMM");
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    int precision;
    stream.read((char*) &precision, sizeof(int));
    int expectedPrecision = (cu.getUseDoublePrecision() ? 2 : cu.getUseMixedPrecision() ? 1 : 0);
    if (precision != expectedPrecision)
        throw OpenMMException("Checkpoint was created with a different numeric precision");
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    double time;
    stream.read((char*) &time, sizeof(double));
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    int stepCount, stepsSinceReorder;
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    stream.read((char*) &stepCount, sizeof(int));
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    stream.read((char*) &stepsSinceReorder, sizeof(int));
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    vector<CudaContext*>& contexts = cu.getPlatformData().contexts;
    for (int i = 0; i < (int) contexts.size(); i++) {
        contexts[i]->setTime(time);
        contexts[i]->setStepCount(stepCount);
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        contexts[i]->setStepsSinceReorder(stepsSinceReorder);
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    }
    char* buffer = (char*) cu.getPinnedBuffer();
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    stream.read(buffer, cu.getPosq().getSize()*cu.getPosq().getElementSize());
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    cu.getPosq().upload(buffer);
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    if (cu.getUseMixedPrecision()) {
        stream.read(buffer, cu.getPosqCorrection().getSize()*cu.getPosqCorrection().getElementSize());
        cu.getPosqCorrection().upload(buffer);
    }
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    stream.read(buffer, cu.getVelm().getSize()*cu.getVelm().getElementSize());
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    cu.getVelm().upload(buffer);
    stream.read((char*) &cu.getAtomIndex()[0], sizeof(int)*cu.getAtomIndex().size());
    cu.getAtomIndexArray().upload(cu.getAtomIndex());
    stream.read((char*) &cu.getPosCellOffsets()[0], sizeof(int4)*cu.getPosCellOffsets().size());
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    Vec3 boxVectors[3];
    stream.read((char*) &boxVectors, 3*sizeof(Vec3));
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    for (int i = 0; i < (int) contexts.size(); i++)
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        contexts[i]->setPeriodicBoxVectors(boxVectors[0], boxVectors[1], boxVectors[2]);
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    cu.getIntegrationUtilities().loadCheckpoint(stream);
    SimTKOpenMMUtilities::loadCheckpoint(stream);
    for (int i = 0; i < cu.getReorderListeners().size(); i++)
        cu.getReorderListeners()[i]->execute();
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}

void CudaApplyConstraintsKernel::initialize(const System& system) {
}

void CudaApplyConstraintsKernel::apply(ContextImpl& context, double tol) {
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    cu.setAsCurrent();
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    if (!hasInitializedKernel) {
        hasInitializedKernel = true;
        map<string, string> defines;
        CUmodule module = cu.createModule(CudaKernelSources::constraints, defines);
        applyDeltasKernel = cu.getKernel(module, "applyPositionDeltas");
    }
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    cu.clearBuffer(integration.getPosDelta());
    integration.applyConstraints(tol);
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    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
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    int numAtoms = cu.getNumAtoms();
    void* args[] = {&numAtoms, &cu.getPosq().getDevicePointer(), &posCorrection, &cu.getIntegrationUtilities().getPosDelta().getDevicePointer()};
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    cu.executeKernel(applyDeltasKernel, args, cu.getNumAtoms());
    integration.computeVirtualSites();
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}

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void CudaApplyConstraintsKernel::applyToVelocities(ContextImpl& context, double tol) {
    cu.getIntegrationUtilities().applyVelocityConstraints(tol);
}

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void CudaVirtualSitesKernel::initialize(const System& system) {
}

void CudaVirtualSitesKernel::computePositions(ContextImpl& context) {
    cu.getIntegrationUtilities().computeVirtualSites();
}

class CudaHarmonicBondForceInfo : public CudaForceInfo {
public:
    CudaHarmonicBondForceInfo(const HarmonicBondForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumBonds();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2;
        double length, k;
        force.getBondParameters(index, particle1, particle2, length, k);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2;
        double length1, length2, k1, k2;
        force.getBondParameters(group1, particle1, particle2, length1, k1);
        force.getBondParameters(group2, particle1, particle2, length2, k2);
        return (length1 == length2 && k1 == k2);
    }
private:
    const HarmonicBondForce& force;
};

CudaCalcHarmonicBondForceKernel::~CudaCalcHarmonicBondForceKernel() {
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    cu.setAsCurrent();
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    if (params != NULL)
        delete params;
}

void CudaCalcHarmonicBondForceKernel::initialize(const System& system, const HarmonicBondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    numBonds = endIndex-startIndex;
    if (numBonds == 0)
        return;
    vector<vector<int> > atoms(numBonds, vector<int>(2));
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    params = CudaArray::create<float2>(cu, numBonds, "bondParams");
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    vector<float2> paramVector(numBonds);
    for (int i = 0; i < numBonds; i++) {
        double length, k;
        force.getBondParameters(startIndex+i, atoms[i][0], atoms[i][1], length, k);
        paramVector[i] = make_float2((float) length, (float) k);
    }
    params->upload(paramVector);
    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = CudaKernelSources::harmonicBondForce;
    replacements["PARAMS"] = cu.getBondedUtilities().addArgument(params->getDevicePointer(), "float2");
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::bondForce, replacements), force.getForceGroup());
    cu.addForce(new CudaHarmonicBondForceInfo(force));
}

double CudaCalcHarmonicBondForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    return 0.0;
}

void CudaCalcHarmonicBondForceKernel::copyParametersToContext(ContextImpl& context, const HarmonicBondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    if (numBonds != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of bonds has changed");
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    if (numBonds == 0)
        return;
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    // Record the per-bond parameters.
    
    vector<float2> paramVector(numBonds);
    for (int i = 0; i < numBonds; i++) {
        int atom1, atom2;
        double length, k;
        force.getBondParameters(startIndex+i, atom1, atom2, length, k);
        paramVector[i] = make_float2((float) length, (float) k);
    }
    params->upload(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaCustomBondForceInfo : public CudaForceInfo {
public:
    CudaCustomBondForceInfo(const CustomBondForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumBonds();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2;
        vector<double> parameters;
        force.getBondParameters(index, particle1, particle2, parameters);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2;
        vector<double> parameters1, parameters2;
        force.getBondParameters(group1, particle1, particle2, parameters1);
        force.getBondParameters(group2, particle1, particle2, parameters2);
        for (int i = 0; i < (int) parameters1.size(); i++)
            if (parameters1[i] != parameters2[i])
                return false;
        return true;
    }
private:
    const CustomBondForce& force;
};

CudaCalcCustomBondForceKernel::~CudaCalcCustomBondForceKernel() {
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    cu.setAsCurrent();
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    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
}

void CudaCalcCustomBondForceKernel::initialize(const System& system, const CustomBondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    numBonds = endIndex-startIndex;
    if (numBonds == 0)
        return;
    vector<vector<int> > atoms(numBonds, vector<int>(2));
    params = new CudaParameterSet(cu, force.getNumPerBondParameters(), numBonds, "customBondParams");
    vector<vector<float> > paramVector(numBonds);
    for (int i = 0; i < numBonds; i++) {
        vector<double> parameters;
        force.getBondParameters(startIndex+i, atoms[i][0], atoms[i][1], parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomBondForceInfo(force));

    // Record information for the expressions.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    Lepton::ParsedExpression energyExpression = Lepton::Parser::parse(force.getEnergyFunction()).optimize();
    Lepton::ParsedExpression forceExpression = energyExpression.differentiate("r").optimize();
    map<string, Lepton::ParsedExpression> expressions;
    expressions["energy += "] = energyExpression;
    expressions["float dEdR = "] = forceExpression;

    // Create the kernels.

    map<string, string> variables;
    variables["r"] = "r";
    for (int i = 0; i < force.getNumPerBondParameters(); i++) {
        const string& name = force.getPerBondParameterName(i);
        variables[name] = "bondParams"+params->getParameterSuffix(i);
    }
    if (force.getNumGlobalParameters() > 0) {
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        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customBondGlobals");
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        globals->upload(globalParamValues);
        string argName = cu.getBondedUtilities().addArgument(globals->getDevicePointer(), "float");
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = argName+"["+cu.intToString(i)+"]";
            variables[name] = value;
        }
    }
    stringstream compute;
    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
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        string argName = cu.getBondedUtilities().addArgument(buffer.getMemory(), buffer.getType());
        compute<<buffer.getType()<<" bondParams"<<(i+1)<<" = "<<argName<<"[index];\n";
    }
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    vector<const TabulatedFunction*> functions;
    vector<pair<string, string> > functionNames;
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    compute << cu.getExpressionUtilities().createExpressions(expressions, variables, functions, functionNames, "temp");
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    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = compute.str();
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::bondForce, replacements), force.getForceGroup());
}

double CudaCalcCustomBondForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    return 0.0;
}

void CudaCalcCustomBondForceKernel::copyParametersToContext(ContextImpl& context, const CustomBondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    if (numBonds != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of bonds has changed");
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    if (numBonds == 0)
        return;
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    // Record the per-bond parameters.
    
    vector<vector<float> > paramVector(numBonds);
    vector<double> parameters;
    for (int i = 0; i < numBonds; i++) {
        int atom1, atom2;
        force.getBondParameters(startIndex+i, atom1, atom2, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}
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class CudaHarmonicAngleForceInfo : public CudaForceInfo {
public:
    CudaHarmonicAngleForceInfo(const HarmonicAngleForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumAngles();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2, particle3;
        double angle, k;
        force.getAngleParameters(index, particle1, particle2, particle3, angle, k);
        particles.resize(3);
        particles[0] = particle1;
        particles[1] = particle2;
        particles[2] = particle3;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2, particle3;
        double angle1, angle2, k1, k2;
        force.getAngleParameters(group1, particle1, particle2, particle3, angle1, k1);
        force.getAngleParameters(group2, particle1, particle2, particle3, angle2, k2);
        return (angle1 == angle2 && k1 == k2);
    }
private:
    const HarmonicAngleForce& force;
};

CudaCalcHarmonicAngleForceKernel::~CudaCalcHarmonicAngleForceKernel() {
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    cu.setAsCurrent();
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    if (params != NULL)
        delete params;
}

void CudaCalcHarmonicAngleForceKernel::initialize(const System& system, const HarmonicAngleForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumAngles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumAngles()/numContexts;
    numAngles = endIndex-startIndex;
    if (numAngles == 0)
        return;
    vector<vector<int> > atoms(numAngles, vector<int>(3));
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    params = CudaArray::create<float2>(cu, numAngles, "angleParams");
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    vector<float2> paramVector(numAngles);
    for (int i = 0; i < numAngles; i++) {
        double angle, k;
        force.getAngleParameters(startIndex+i, atoms[i][0], atoms[i][1], atoms[i][2], angle, k);
        paramVector[i] = make_float2((float) angle, (float) k);

    }
    params->upload(paramVector);
    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = CudaKernelSources::harmonicAngleForce;
    replacements["PARAMS"] = cu.getBondedUtilities().addArgument(params->getDevicePointer(), "float2");
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::angleForce, replacements), force.getForceGroup());
    cu.addForce(new CudaHarmonicAngleForceInfo(force));
}

double CudaCalcHarmonicAngleForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    return 0.0;
}

void CudaCalcHarmonicAngleForceKernel::copyParametersToContext(ContextImpl& context, const HarmonicAngleForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumAngles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumAngles()/numContexts;
    if (numAngles != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of angles has changed");
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    if (numAngles == 0)
        return;
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    // Record the per-angle parameters.
    
    vector<float2> paramVector(numAngles);
    for (int i = 0; i < numAngles; i++) {
        int atom1, atom2, atom3;
        double angle, k;
        force.getAngleParameters(startIndex+i, atom1, atom2, atom3, angle, k);
        paramVector[i] = make_float2((float) angle, (float) k);
    }
    params->upload(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaCustomAngleForceInfo : public CudaForceInfo {
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public:
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    CudaCustomAngleForceInfo(const CustomAngleForce& force) : force(force) {
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    }
    int getNumParticleGroups() {
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        return force.getNumAngles();
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    }
    void getParticlesInGroup(int index, vector<int>& particles) {
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        int particle1, particle2, particle3;
        vector<double> parameters;
        force.getAngleParameters(index, particle1, particle2, particle3, parameters);
        particles.resize(3);
        particles[0] = particle1;
        particles[1] = particle2;
        particles[2] = particle3;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2, particle3;
        vector<double> parameters1, parameters2;
        force.getAngleParameters(group1, particle1, particle2, particle3, parameters1);
        force.getAngleParameters(group2, particle1, particle2, particle3, parameters2);
        for (int i = 0; i < (int) parameters1.size(); i++)
            if (parameters1[i] != parameters2[i])
                return false;
        return true;
    }
private:
    const CustomAngleForce& force;
};

CudaCalcCustomAngleForceKernel::~CudaCalcCustomAngleForceKernel() {
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    cu.setAsCurrent();
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    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
}

void CudaCalcCustomAngleForceKernel::initialize(const System& system, const CustomAngleForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumAngles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumAngles()/numContexts;
    numAngles = endIndex-startIndex;
    if (numAngles == 0)
        return;
    vector<vector<int> > atoms(numAngles, vector<int>(3));
    params = new CudaParameterSet(cu, force.getNumPerAngleParameters(), numAngles, "customAngleParams");
    vector<vector<float> > paramVector(numAngles);
    for (int i = 0; i < numAngles; i++) {
        vector<double> parameters;
        force.getAngleParameters(startIndex+i, atoms[i][0], atoms[i][1], atoms[i][2], parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomAngleForceInfo(force));

    // Record information for the expressions.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    Lepton::ParsedExpression energyExpression = Lepton::Parser::parse(force.getEnergyFunction()).optimize();
    Lepton::ParsedExpression forceExpression = energyExpression.differentiate("theta").optimize();
    map<string, Lepton::ParsedExpression> expressions;
    expressions["energy += "] = energyExpression;
    expressions["float dEdAngle = "] = forceExpression;

    // Create the kernels.

    map<string, string> variables;
    variables["theta"] = "theta";
    for (int i = 0; i < force.getNumPerAngleParameters(); i++) {
        const string& name = force.getPerAngleParameterName(i);
        variables[name] = "angleParams"+params->getParameterSuffix(i);
    }
    if (force.getNumGlobalParameters() > 0) {
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        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customAngleGlobals");
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        globals->upload(globalParamValues);
        string argName = cu.getBondedUtilities().addArgument(globals->getDevicePointer(), "float");
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = argName+"["+cu.intToString(i)+"]";
            variables[name] = value;
        }
    }
    stringstream compute;
    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
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        string argName = cu.getBondedUtilities().addArgument(buffer.getMemory(), buffer.getType());
        compute<<buffer.getType()<<" angleParams"<<(i+1)<<" = "<<argName<<"[index];\n";
    }
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    vector<const TabulatedFunction*> functions;
    vector<pair<string, string> > functionNames;
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    compute << cu.getExpressionUtilities().createExpressions(expressions, variables, functions, functionNames, "temp");
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    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = compute.str();
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::angleForce, replacements), force.getForceGroup());
}

double CudaCalcCustomAngleForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    return 0.0;
}

void CudaCalcCustomAngleForceKernel::copyParametersToContext(ContextImpl& context, const CustomAngleForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumAngles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumAngles()/numContexts;
    if (numAngles != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of angles has changed");
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    if (numAngles == 0)
        return;
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    // Record the per-angle parameters.
    
    vector<vector<float> > paramVector(numAngles);
    vector<double> parameters;
    for (int i = 0; i < numAngles; i++) {
        int atom1, atom2, atom3;
        force.getAngleParameters(startIndex+i, atom1, atom2, atom3, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

class CudaPeriodicTorsionForceInfo : public CudaForceInfo {
public:
    CudaPeriodicTorsionForceInfo(const PeriodicTorsionForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumTorsions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2, particle3, particle4, periodicity;
        double phase, k;
        force.getTorsionParameters(index, particle1, particle2, particle3, particle4, periodicity, phase, k);
        particles.resize(4);
        particles[0] = particle1;
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        particles[1] = particle2;
        particles[2] = particle3;
        particles[3] = particle4;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2, particle3, particle4, periodicity1, periodicity2;
        double phase1, phase2, k1, k2;
        force.getTorsionParameters(group1, particle1, particle2, particle3, particle4, periodicity1, phase1, k1);
        force.getTorsionParameters(group2, particle1, particle2, particle3, particle4, periodicity2, phase2, k2);
        return (periodicity1 == periodicity2 && phase1 == phase2 && k1 == k2);
    }
private:
    const PeriodicTorsionForce& force;
};

CudaCalcPeriodicTorsionForceKernel::~CudaCalcPeriodicTorsionForceKernel() {
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    if (params != NULL)
        delete params;
}

void CudaCalcPeriodicTorsionForceKernel::initialize(const System& system, const PeriodicTorsionForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    numTorsions = endIndex-startIndex;
    if (numTorsions == 0)
        return;
    vector<vector<int> > atoms(numTorsions, vector<int>(4));
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    params = CudaArray::create<float4>(cu, numTorsions, "periodicTorsionParams");
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    vector<float4> paramVector(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        int periodicity;
        double phase, k;
        force.getTorsionParameters(startIndex+i, atoms[i][0], atoms[i][1], atoms[i][2], atoms[i][3], periodicity, phase, k);
        paramVector[i] = make_float4((float) k, (float) phase, (float) periodicity, 0.0f);
    }
    params->upload(paramVector);
    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = CudaKernelSources::periodicTorsionForce;
    replacements["PARAMS"] = cu.getBondedUtilities().addArgument(params->getDevicePointer(), "float4");
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::torsionForce, replacements), force.getForceGroup());
    cu.addForce(new CudaPeriodicTorsionForceInfo(force));
}

double CudaCalcPeriodicTorsionForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    return 0.0;
}

void CudaCalcPeriodicTorsionForceKernel::copyParametersToContext(ContextImpl& context, const PeriodicTorsionForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    if (numTorsions != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of torsions has changed");
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    if (numTorsions == 0)
        return;
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    // Record the per-torsion parameters.
    
    vector<float4> paramVector(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        int atom1, atom2, atom3, atom4, periodicity;
        double phase, k;
        force.getTorsionParameters(startIndex+i, atom1, atom2, atom3, atom4, periodicity, phase, k);
        paramVector[i] = make_float4((float) k, (float) phase, (float) periodicity, 0.0f);
    }
    params->upload(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

class CudaRBTorsionForceInfo : public CudaForceInfo {
public:
    CudaRBTorsionForceInfo(const RBTorsionForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumTorsions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2, particle3, particle4;
        double c0, c1, c2, c3, c4, c5;
        force.getTorsionParameters(index, particle1, particle2, particle3, particle4, c0, c1, c2, c3, c4, c5);
        particles.resize(4);
        particles[0] = particle1;
        particles[1] = particle2;
        particles[2] = particle3;
        particles[3] = particle4;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2, particle3, particle4;
        double c0a, c0b, c1a, c1b, c2a, c2b, c3a, c3b, c4a, c4b, c5a, c5b;
        force.getTorsionParameters(group1, particle1, particle2, particle3, particle4, c0a, c1a, c2a, c3a, c4a, c5a);
        force.getTorsionParameters(group2, particle1, particle2, particle3, particle4, c0b, c1b, c2b, c3b, c4b, c5b);
        return (c0a == c0b && c1a == c1b && c2a == c2b && c3a == c3b && c4a == c4b && c5a == c5b);
    }
private:
    const RBTorsionForce& force;
};

CudaCalcRBTorsionForceKernel::~CudaCalcRBTorsionForceKernel() {
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    cu.setAsCurrent();
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    if (params1 != NULL)
        delete params1;
    if (params2 != NULL)
        delete params2;
}

void CudaCalcRBTorsionForceKernel::initialize(const System& system, const RBTorsionForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    numTorsions = endIndex-startIndex;
    if (numTorsions == 0)
        return;
    vector<vector<int> > atoms(numTorsions, vector<int>(4));
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    params1 = CudaArray::create<float4>(cu, numTorsions, "rbTorsionParams1");
    params2 = CudaArray::create<float2>(cu, numTorsions, "rbTorsionParams2");
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    vector<float4> paramVector1(numTorsions);
    vector<float2> paramVector2(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        double c0, c1, c2, c3, c4, c5;
        force.getTorsionParameters(startIndex+i, atoms[i][0], atoms[i][1], atoms[i][2], atoms[i][3], c0, c1, c2, c3, c4, c5);
        paramVector1[i] = make_float4((float) c0, (float) c1, (float) c2, (float) c3);
        paramVector2[i] = make_float2((float) c4, (float) c5);

    }
    params1->upload(paramVector1);
    params2->upload(paramVector2);
    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = CudaKernelSources::rbTorsionForce;
    replacements["PARAMS1"] = cu.getBondedUtilities().addArgument(params1->getDevicePointer(), "float4");
    replacements["PARAMS2"] = cu.getBondedUtilities().addArgument(params2->getDevicePointer(), "float2");
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::torsionForce, replacements), force.getForceGroup());
    cu.addForce(new CudaRBTorsionForceInfo(force));
}

double CudaCalcRBTorsionForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    return 0.0;
}

void CudaCalcRBTorsionForceKernel::copyParametersToContext(ContextImpl& context, const RBTorsionForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    if (numTorsions != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of torsions has changed");
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    if (numTorsions == 0)
        return;
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    // Record the per-torsion parameters.
    
    vector<float4> paramVector1(numTorsions);
    vector<float2> paramVector2(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        int atom1, atom2, atom3, atom4;
        double c0, c1, c2, c3, c4, c5;
        force.getTorsionParameters(startIndex+i, atom1, atom2, atom3, atom4, c0, c1, c2, c3, c4, c5);
        paramVector1[i] = make_float4((float) c0, (float) c1, (float) c2, (float) c3);
        paramVector2[i] = make_float2((float) c4, (float) c5);
    }
    params1->upload(paramVector1);
    params2->upload(paramVector2);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

class CudaCMAPTorsionForceInfo : public CudaForceInfo {
public:
    CudaCMAPTorsionForceInfo(const CMAPTorsionForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumTorsions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int map, a1, a2, a3, a4, b1, b2, b3, b4;
        force.getTorsionParameters(index, map, a1, a2, a3, a4, b1, b2, b3, b4);
        particles.resize(8);
        particles[0] = a1;
        particles[1] = a2;
        particles[2] = a3;
        particles[3] = a4;
        particles[4] = b1;
        particles[5] = b2;
        particles[6] = b3;
        particles[7] = b4;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int map1, map2, a1, a2, a3, a4, b1, b2, b3, b4;
        force.getTorsionParameters(group1, map1, a1, a2, a3, a4, b1, b2, b3, b4);
        force.getTorsionParameters(group2, map2, a1, a2, a3, a4, b1, b2, b3, b4);
        return (map1 == map2);
    }
private:
    const CMAPTorsionForce& force;
};

CudaCalcCMAPTorsionForceKernel::~CudaCalcCMAPTorsionForceKernel() {
    if (coefficients != NULL)
        delete coefficients;
    if (mapPositions != NULL)
        delete mapPositions;
    if (torsionMaps != NULL)
        delete torsionMaps;
}

void CudaCalcCMAPTorsionForceKernel::initialize(const System& system, const CMAPTorsionForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    numTorsions = endIndex-startIndex;
    if (numTorsions == 0)
        return;
    int numMaps = force.getNumMaps();
    vector<float4> coeffVec;
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    mapPositionsVec.resize(numMaps);
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    vector<double> energy;
    vector<vector<double> > c;
    int currentPosition = 0;
    for (int i = 0; i < numMaps; i++) {
        int size;
        force.getMapParameters(i, size, energy);
        CMAPTorsionForceImpl::calcMapDerivatives(size, energy, c);
        mapPositionsVec[i] = make_int2(currentPosition, size);
        currentPosition += 4*size*size;
        for (int j = 0; j < size*size; j++) {
            coeffVec.push_back(make_float4((float) c[j][0], (float) c[j][1], (float) c[j][2], (float) c[j][3]));
            coeffVec.push_back(make_float4((float) c[j][4], (float) c[j][5], (float) c[j][6], (float) c[j][7]));
            coeffVec.push_back(make_float4((float) c[j][8], (float) c[j][9], (float) c[j][10], (float) c[j][11]));
            coeffVec.push_back(make_float4((float) c[j][12], (float) c[j][13], (float) c[j][14], (float) c[j][15]));
        }
    }
    vector<vector<int> > atoms(numTorsions, vector<int>(8));
    vector<int> torsionMapsVec(numTorsions);
    for (int i = 0; i < numTorsions; i++)
        force.getTorsionParameters(startIndex+i, torsionMapsVec[i], atoms[i][0], atoms[i][1], atoms[i][2], atoms[i][3], atoms[i][4], atoms[i][5], atoms[i][6], atoms[i][7]);
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    coefficients = CudaArray::create<float4>(cu, coeffVec.size(), "cmapTorsionCoefficients");
    mapPositions = CudaArray::create<int2>(cu, numMaps, "cmapTorsionMapPositions");
    torsionMaps = CudaArray::create<int>(cu, numTorsions, "cmapTorsionMaps");
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    coefficients->upload(coeffVec);
    mapPositions->upload(mapPositionsVec);
    torsionMaps->upload(torsionMapsVec);
    map<string, string> replacements;
    replacements["COEFF"] = cu.getBondedUtilities().addArgument(coefficients->getDevicePointer(), "float4");
    replacements["MAP_POS"] = cu.getBondedUtilities().addArgument(mapPositions->getDevicePointer(), "int2");
    replacements["MAPS"] = cu.getBondedUtilities().addArgument(torsionMaps->getDevicePointer(), "int");
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::cmapTorsionForce, replacements), force.getForceGroup());
    cu.addForce(new CudaCMAPTorsionForceInfo(force));
}

double CudaCalcCMAPTorsionForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    return 0.0;
}

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void CudaCalcCMAPTorsionForceKernel::copyParametersToContext(ContextImpl& context, const CMAPTorsionForce& force) {
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    int numMaps = force.getNumMaps();
    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    numTorsions = endIndex-startIndex;
    if (mapPositions->getSize() != numMaps)
        throw OpenMMException("updateParametersInContext: The number of maps has changed");
    if (torsionMaps->getSize() != numTorsions)
        throw OpenMMException("updateParametersInContext: The number of CMAP torsions has changed");

    // Update the maps.

    vector<float4> coeffVec;
    vector<double> energy;
    vector<vector<double> > c;
    int currentPosition = 0;
    for (int i = 0; i < numMaps; i++) {
        int size;
        force.getMapParameters(i, size, energy);
        if (size != mapPositionsVec[i].y)
            throw OpenMMException("updateParametersInContext: The size of a map has changed");
        CMAPTorsionForceImpl::calcMapDerivatives(size, energy, c);
        currentPosition += 4*size*size;
        for (int j = 0; j < size*size; j++) {
            coeffVec.push_back(make_float4((float) c[j][0], (float) c[j][1], (float) c[j][2], (float) c[j][3]));
            coeffVec.push_back(make_float4((float) c[j][4], (float) c[j][5], (float) c[j][6], (float) c[j][7]));
            coeffVec.push_back(make_float4((float) c[j][8], (float) c[j][9], (float) c[j][10], (float) c[j][11]));
            coeffVec.push_back(make_float4((float) c[j][12], (float) c[j][13], (float) c[j][14], (float) c[j][15]));
        }
    }
    coefficients->upload(coeffVec);

    // Update the indices.

    vector<int> torsionMapsVec(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        int index[8];
        force.getTorsionParameters(i, torsionMapsVec[i], index[0], index[1], index[2], index[3], index[4], index[5], index[6], index[7]);
    }
    torsionMaps->upload(torsionMapsVec);
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}

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class CudaCustomTorsionForceInfo : public CudaForceInfo {
public:
    CudaCustomTorsionForceInfo(const CustomTorsionForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumTorsions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2, particle3, particle4;
        vector<double> parameters;
        force.getTorsionParameters(index, particle1, particle2, particle3, particle4, parameters);
        particles.resize(4);
        particles[0] = particle1;
        particles[1] = particle2;
        particles[2] = particle3;
        particles[3] = particle4;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2, particle3, particle4;
        vector<double> parameters1, parameters2;
        force.getTorsionParameters(group1, particle1, particle2, particle3, particle4, parameters1);
        force.getTorsionParameters(group2, particle1, particle2, particle3, particle4, parameters2);
        for (int i = 0; i < (int) parameters1.size(); i++)
            if (parameters1[i] != parameters2[i])
                return false;
        return true;
    }
private:
    const CustomTorsionForce& force;
};

CudaCalcCustomTorsionForceKernel::~CudaCalcCustomTorsionForceKernel() {
    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
}

void CudaCalcCustomTorsionForceKernel::initialize(const System& system, const CustomTorsionForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    numTorsions = endIndex-startIndex;
    if (numTorsions == 0)
        return;
    vector<vector<int> > atoms(numTorsions, vector<int>(4));
    params = new CudaParameterSet(cu, force.getNumPerTorsionParameters(), numTorsions, "customTorsionParams");
    vector<vector<float> > paramVector(numTorsions);
    for (int i = 0; i < numTorsions; i++) {
        vector<double> parameters;
        force.getTorsionParameters(startIndex+i, atoms[i][0], atoms[i][1], atoms[i][2], atoms[i][3], parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomTorsionForceInfo(force));

    // Record information for the expressions.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    Lepton::ParsedExpression energyExpression = Lepton::Parser::parse(force.getEnergyFunction()).optimize();
    Lepton::ParsedExpression forceExpression = energyExpression.differentiate("theta").optimize();
    map<string, Lepton::ParsedExpression> expressions;
    expressions["energy += "] = energyExpression;
    expressions["float dEdAngle = "] = forceExpression;

    // Create the kernels.

    map<string, string> variables;
    variables["theta"] = "theta";
    for (int i = 0; i < force.getNumPerTorsionParameters(); i++) {
        const string& name = force.getPerTorsionParameterName(i);
        variables[name] = "torsionParams"+params->getParameterSuffix(i);
    }
    if (force.getNumGlobalParameters() > 0) {
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        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customTorsionGlobals");
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        globals->upload(globalParamValues);
        string argName = cu.getBondedUtilities().addArgument(globals->getDevicePointer(), "float");
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = argName+"["+cu.intToString(i)+"]";
            variables[name] = value;
        }
    }
    stringstream compute;
    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
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        string argName = cu.getBondedUtilities().addArgument(buffer.getMemory(), buffer.getType());
        compute<<buffer.getType()<<" torsionParams"<<(i+1)<<" = "<<argName<<"[index];\n";
    }
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    vector<const TabulatedFunction*> functions;
    vector<pair<string, string> > functionNames;
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    compute << cu.getExpressionUtilities().createExpressions(expressions, variables, functions, functionNames, "temp");
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    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = compute.str();
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::torsionForce, replacements), force.getForceGroup());
}

double CudaCalcCustomTorsionForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    return 0.0;
}

void CudaCalcCustomTorsionForceKernel::copyParametersToContext(ContextImpl& context, const CustomTorsionForce& force) {
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumTorsions()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumTorsions()/numContexts;
    if (numTorsions != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of torsions has changed");
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    if (numTorsions == 0)
        return;
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    // Record the per-torsion parameters.
    
    vector<vector<float> > paramVector(numTorsions);
    vector<double> parameters;
    for (int i = 0; i < numTorsions; i++) {
        int atom1, atom2, atom3, atom4;
        force.getTorsionParameters(startIndex+i, atom1, atom2, atom3, atom4, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaNonbondedForceInfo : public CudaForceInfo {
public:
    CudaNonbondedForceInfo(const NonbondedForce& force) : force(force) {
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        double charge1, charge2, sigma1, sigma2, epsilon1, epsilon2;
        force.getParticleParameters(particle1, charge1, sigma1, epsilon1);
        force.getParticleParameters(particle2, charge2, sigma2, epsilon2);
        return (charge1 == charge2 && sigma1 == sigma2 && epsilon1 == epsilon2);
    }
    int getNumParticleGroups() {
        return force.getNumExceptions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2;
        double chargeProd, sigma, epsilon;
        force.getExceptionParameters(index, particle1, particle2, chargeProd, sigma, epsilon);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
    }
    bool areGroupsIdentical(int group1, int group2) {
        int particle1, particle2;
        double chargeProd1, chargeProd2, sigma1, sigma2, epsilon1, epsilon2;
        force.getExceptionParameters(group1, particle1, particle2, chargeProd1, sigma1, epsilon1);
        force.getExceptionParameters(group2, particle1, particle2, chargeProd2, sigma2, epsilon2);
        return (chargeProd1 == chargeProd2 && sigma1 == sigma2 && epsilon1 == epsilon2);
    }
private:
    const NonbondedForce& force;
};

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class CudaCalcNonbondedForceKernel::PmeIO : public CalcPmeReciprocalForceKernel::IO {
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public:
    PmeIO(CudaContext& cu, CUfunction addForcesKernel) : cu(cu), addForcesKernel(addForcesKernel), forceTemp(NULL) {
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        forceTemp = CudaArray::create<float4>(cu, cu.getNumAtoms(), "PmeForce");
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    }
    ~PmeIO() {
        if (forceTemp != NULL)
            delete forceTemp;
    }
    float* getPosq() {
        cu.setAsCurrent();
        cu.getPosq().download(posq);
        return (float*) &posq[0];
    }
    void setForce(float* force) {
        forceTemp->upload(force);
        void* args[] = {&forceTemp->getDevicePointer(), &cu.getForce().getDevicePointer()};
        cu.executeKernel(addForcesKernel, args, cu.getNumAtoms());
    }
private:
    CudaContext& cu;
    vector<float4> posq;
    CudaArray* forceTemp;
    CUfunction addForcesKernel;
};

class CudaCalcNonbondedForceKernel::PmePreComputation : public CudaContext::ForcePreComputation {
public:
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    PmePreComputation(CudaContext& cu, Kernel& pme, CalcPmeReciprocalForceKernel::IO& io) : cu(cu), pme(pme), io(io) {
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    }
    void computeForceAndEnergy(bool includeForces, bool includeEnergy, int groups) {
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        Vec3 boxVectors[3] = {Vec3(cu.getPeriodicBoxSize().x, 0, 0), Vec3(0, cu.getPeriodicBoxSize().y, 0), Vec3(0, 0, cu.getPeriodicBoxSize().z)};
        pme.getAs<CalcPmeReciprocalForceKernel>().beginComputation(io, boxVectors, includeEnergy);
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    }
private:
    CudaContext& cu;
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    Kernel pme;
    CalcPmeReciprocalForceKernel::IO& io;
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};

class CudaCalcNonbondedForceKernel::PmePostComputation : public CudaContext::ForcePostComputation {
public:
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    PmePostComputation(Kernel& pme, CalcPmeReciprocalForceKernel::IO& io) : pme(pme), io(io) {
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    }
    double computeForceAndEnergy(bool includeForces, bool includeEnergy, int groups) {
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        return pme.getAs<CalcPmeReciprocalForceKernel>().finishComputation(io);
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    }
private:
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    Kernel pme;
    CalcPmeReciprocalForceKernel::IO& io;
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};

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class CudaCalcNonbondedForceKernel::SyncStreamPreComputation : public CudaContext::ForcePreComputation {
public:
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    SyncStreamPreComputation(CudaContext& cu, CUstream stream, CUevent event, int forceGroup) : cu(cu), stream(stream), event(event), forceGroup(forceGroup) {
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    }
    void computeForceAndEnergy(bool includeForces, bool includeEnergy, int groups) {
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        if ((groups&(1<<forceGroup)) != 0) {
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            cuEventRecord(event, cu.getCurrentStream());
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            cuStreamWaitEvent(stream, event, 0);
        }
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    }
private:
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    CudaContext& cu;
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    CUstream stream;
    CUevent event;
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    int forceGroup;
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};

class CudaCalcNonbondedForceKernel::SyncStreamPostComputation : public CudaContext::ForcePostComputation {
public:
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    SyncStreamPostComputation(CudaContext& cu, CUevent event, int forceGroup) : cu(cu), event(event), forceGroup(forceGroup) {
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    }
    double computeForceAndEnergy(bool includeForces, bool includeEnergy, int groups) {
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        if ((groups&(1<<forceGroup)) != 0)
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            cuStreamWaitEvent(cu.getCurrentStream(), event, 0);
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        return 0.0;
    }
private:
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    CudaContext& cu;
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    CUevent event;
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    int forceGroup;
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};

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CudaCalcNonbondedForceKernel::~CudaCalcNonbondedForceKernel() {
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    cu.setAsCurrent();
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    if (sigmaEpsilon != NULL)
        delete sigmaEpsilon;
    if (exceptionParams != NULL)
        delete exceptionParams;
    if (cosSinSums != NULL)
        delete cosSinSums;
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    if (directPmeGrid != NULL)
        delete directPmeGrid;
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    if (reciprocalPmeGrid != NULL)
        delete reciprocalPmeGrid;
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    if (pmeBsplineModuliX != NULL)
        delete pmeBsplineModuliX;
    if (pmeBsplineModuliY != NULL)
        delete pmeBsplineModuliY;
    if (pmeBsplineModuliZ != NULL)
        delete pmeBsplineModuliZ;
    if (pmeAtomRange != NULL)
        delete pmeAtomRange;
    if (pmeAtomGridIndex != NULL)
        delete pmeAtomGridIndex;
    if (sort != NULL)
        delete sort;
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    if (fft != NULL)
        delete fft;
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    if (pmeio != NULL)
        delete pmeio;
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    if (hasInitializedFFT) {
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        if (useCudaFFT) {
            cufftDestroy(fftForward);
            cufftDestroy(fftBackward);
        }
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        if (usePmeStream) {
            cuStreamDestroy(pmeStream);
            cuEventDestroy(pmeSyncEvent);
        }
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    }
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}

void CudaCalcNonbondedForceKernel::initialize(const System& system, const NonbondedForce& force) {
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    cu.setAsCurrent();
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    // Identify which exceptions are 1-4 interactions.

    vector<pair<int, int> > exclusions;
    vector<int> exceptions;
    for (int i = 0; i < force.getNumExceptions(); i++) {
        int particle1, particle2;
        double chargeProd, sigma, epsilon;
        force.getExceptionParameters(i, particle1, particle2, chargeProd, sigma, epsilon);
        exclusions.push_back(pair<int, int>(particle1, particle2));
        if (chargeProd != 0.0 || epsilon != 0.0)
            exceptions.push_back(i);
    }

    // Initialize nonbonded interactions.

    int numParticles = force.getNumParticles();
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    sigmaEpsilon = CudaArray::create<float2>(cu, cu.getPaddedNumAtoms(), "sigmaEpsilon");
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    CudaArray& posq = cu.getPosq();
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    vector<double4> temp(posq.getSize());
    float4* posqf = (float4*) &temp[0];
    double4* posqd = (double4*) &temp[0];
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    vector<float2> sigmaEpsilonVector(cu.getPaddedNumAtoms(), make_float2(0, 0));
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    vector<vector<int> > exclusionList(numParticles);
    double sumSquaredCharges = 0.0;
    hasCoulomb = false;
    hasLJ = false;
    for (int i = 0; i < numParticles; i++) {
        double charge, sigma, epsilon;
        force.getParticleParameters(i, charge, sigma, epsilon);
        if (cu.getUseDoublePrecision())
            posqd[i] = make_double4(0, 0, 0, charge);
        else
            posqf[i] = make_float4(0, 0, 0, (float) charge);
        sigmaEpsilonVector[i] = make_float2((float) (0.5*sigma), (float) (2.0*sqrt(epsilon)));
        exclusionList[i].push_back(i);
        sumSquaredCharges += charge*charge;
        if (charge != 0.0)
            hasCoulomb = true;
        if (epsilon != 0.0)
            hasLJ = true;
    }
    for (int i = 0; i < (int) exclusions.size(); i++) {
        exclusionList[exclusions[i].first].push_back(exclusions[i].second);
        exclusionList[exclusions[i].second].push_back(exclusions[i].first);
    }
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    posq.upload(&temp[0]);
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    sigmaEpsilon->upload(sigmaEpsilonVector);
    bool useCutoff = (force.getNonbondedMethod() != NonbondedForce::NoCutoff);
    bool usePeriodic = (force.getNonbondedMethod() != NonbondedForce::NoCutoff && force.getNonbondedMethod() != NonbondedForce::CutoffNonPeriodic);
    map<string, string> defines;
    defines["HAS_COULOMB"] = (hasCoulomb ? "1" : "0");
    defines["HAS_LENNARD_JONES"] = (hasLJ ? "1" : "0");
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    defines["USE_LJ_SWITCH"] = (useCutoff && force.getUseSwitchingFunction() ? "1" : "0");
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    if (useCutoff) {
        // Compute the reaction field constants.

        double reactionFieldK = pow(force.getCutoffDistance(), -3.0)*(force.getReactionFieldDielectric()-1.0)/(2.0*force.getReactionFieldDielectric()+1.0);
        double reactionFieldC = (1.0 / force.getCutoffDistance())*(3.0*force.getReactionFieldDielectric())/(2.0*force.getReactionFieldDielectric()+1.0);
        defines["REACTION_FIELD_K"] = cu.doubleToString(reactionFieldK);
        defines["REACTION_FIELD_C"] = cu.doubleToString(reactionFieldC);
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        // Compute the switching coefficients.
        
        if (force.getUseSwitchingFunction()) {
            defines["LJ_SWITCH_CUTOFF"] = cu.doubleToString(force.getSwitchingDistance());
            defines["LJ_SWITCH_C3"] = cu.doubleToString(10/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 3.0));
            defines["LJ_SWITCH_C4"] = cu.doubleToString(15/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 4.0));
            defines["LJ_SWITCH_C5"] = cu.doubleToString(6/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 5.0));
        }
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    }
    if (force.getUseDispersionCorrection() && cu.getContextIndex() == 0)
        dispersionCoefficient = NonbondedForceImpl::calcDispersionCorrection(system, force);
    else
        dispersionCoefficient = 0.0;
    alpha = 0;
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    ewaldSelfEnergy = 0.0;
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    if (force.getNonbondedMethod() == NonbondedForce::Ewald) {
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        // Compute the Ewald parameters.

        int kmaxx, kmaxy, kmaxz;
        NonbondedForceImpl::calcEwaldParameters(system, force, alpha, kmaxx, kmaxy, kmaxz);
        defines["EWALD_ALPHA"] = cu.doubleToString(alpha);
        defines["TWO_OVER_SQRT_PI"] = cu.doubleToString(2.0/sqrt(M_PI));
        defines["USE_EWALD"] = "1";
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        if (cu.getContextIndex() == 0) {
            ewaldSelfEnergy = -ONE_4PI_EPS0*alpha*sumSquaredCharges/sqrt(M_PI);

            // Create the reciprocal space kernels.

            map<string, string> replacements;
            replacements["NUM_ATOMS"] = cu.intToString(numParticles);
            replacements["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
            replacements["KMAX_X"] = cu.intToString(kmaxx);
            replacements["KMAX_Y"] = cu.intToString(kmaxy);
            replacements["KMAX_Z"] = cu.intToString(kmaxz);
            replacements["EXP_COEFFICIENT"] = cu.doubleToString(-1.0/(4.0*alpha*alpha));
            replacements["ONE_4PI_EPS0"] = cu.doubleToString(ONE_4PI_EPS0);
            replacements["M_PI"] = cu.doubleToString(M_PI);
            CUmodule module = cu.createModule(CudaKernelSources::vectorOps+CudaKernelSources::ewald, replacements);
            ewaldSumsKernel = cu.getKernel(module, "calculateEwaldCosSinSums");
            ewaldForcesKernel = cu.getKernel(module, "calculateEwaldForces");
            int elementSize = (cu.getUseDoublePrecision() ? sizeof(double2) : sizeof(float2));
            cosSinSums = new CudaArray(cu, (2*kmaxx-1)*(2*kmaxy-1)*(2*kmaxz-1), elementSize, "cosSinSums");
        }
    }
    else if (force.getNonbondedMethod() == NonbondedForce::PME) {
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        // Compute the PME parameters.

        int gridSizeX, gridSizeY, gridSizeZ;
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        NonbondedForceImpl::calcPMEParameters(system, force, alpha, gridSizeX, gridSizeY, gridSizeZ);
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        gridSizeX = CudaFFT3D::findLegalDimension(gridSizeX);
        gridSizeY = CudaFFT3D::findLegalDimension(gridSizeY);
        gridSizeZ = CudaFFT3D::findLegalDimension(gridSizeZ);
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        defines["EWALD_ALPHA"] = cu.doubleToString(alpha);
        defines["TWO_OVER_SQRT_PI"] = cu.doubleToString(2.0/sqrt(M_PI));
        defines["USE_EWALD"] = "1";
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        if (cu.getContextIndex() == 0) {
            ewaldSelfEnergy = -ONE_4PI_EPS0*alpha*sumSquaredCharges/sqrt(M_PI);
            pmeDefines["PME_ORDER"] = cu.intToString(PmeOrder);
            pmeDefines["NUM_ATOMS"] = cu.intToString(numParticles);
            pmeDefines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
            pmeDefines["RECIP_EXP_FACTOR"] = cu.doubleToString(M_PI*M_PI/(alpha*alpha));
            pmeDefines["GRID_SIZE_X"] = cu.intToString(gridSizeX);
            pmeDefines["GRID_SIZE_Y"] = cu.intToString(gridSizeY);
            pmeDefines["GRID_SIZE_Z"] = cu.intToString(gridSizeZ);
            pmeDefines["EPSILON_FACTOR"] = cu.doubleToString(sqrt(ONE_4PI_EPS0));
            pmeDefines["M_PI"] = cu.doubleToString(M_PI);
            if (cu.getUseDoublePrecision())
                pmeDefines["USE_DOUBLE_PRECISION"] = "1";
            CUmodule module = cu.createModule(CudaKernelSources::vectorOps+CudaKernelSources::pme, pmeDefines);
            if (cu.getPlatformData().useCpuPme) {
                // Create the CPU PME kernel.

                try {
                    cpuPme = getPlatform().createKernel(CalcPmeReciprocalForceKernel::Name(), *cu.getPlatformData().context);
                    cpuPme.getAs<CalcPmeReciprocalForceKernel>().initialize(gridSizeX, gridSizeY, gridSizeZ, numParticles, alpha);
                    CUfunction addForcesKernel = cu.getKernel(module, "addForces");
                    pmeio = new PmeIO(cu, addForcesKernel);
                    cu.addPreComputation(new PmePreComputation(cu, cpuPme, *pmeio));
                    cu.addPostComputation(new PmePostComputation(cpuPme, *pmeio));
                }
                catch (OpenMMException& ex) {
                    // The CPU PME plugin isn't available.
                }
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            }
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            if (pmeio == NULL) {
                pmeGridIndexKernel = cu.getKernel(module, "findAtomGridIndex");
                pmeSpreadChargeKernel = cu.getKernel(module, "gridSpreadCharge");
                pmeConvolutionKernel = cu.getKernel(module, "reciprocalConvolution");
                pmeInterpolateForceKernel = cu.getKernel(module, "gridInterpolateForce");
                pmeEvalEnergyKernel = cu.getKernel(module, "gridEvaluateEnergy");
                pmeFinishSpreadChargeKernel = cu.getKernel(module, "finishSpreadCharge");
                cuFuncSetCacheConfig(pmeSpreadChargeKernel, CU_FUNC_CACHE_PREFER_L1);
                cuFuncSetCacheConfig(pmeInterpolateForceKernel, CU_FUNC_CACHE_PREFER_L1);

                // Create required data structures.

                int elementSize = (cu.getUseDoublePrecision() ? sizeof(double) : sizeof(float));
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                directPmeGrid = new CudaArray(cu, gridSizeX*gridSizeY*gridSizeZ, cu.getComputeCapability() >= 2.0 ? 2*elementSize : 2*sizeof(long long), "originalPmeGrid");
                reciprocalPmeGrid = new CudaArray(cu, gridSizeX*gridSizeY*gridSizeZ, 2*elementSize, "reciprocalPmeGrid");
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                cu.addAutoclearBuffer(*directPmeGrid);
                pmeBsplineModuliX = new CudaArray(cu, gridSizeX, elementSize, "pmeBsplineModuliX");
                pmeBsplineModuliY = new CudaArray(cu, gridSizeY, elementSize, "pmeBsplineModuliY");
                pmeBsplineModuliZ = new CudaArray(cu, gridSizeZ, elementSize, "pmeBsplineModuliZ");
                pmeAtomRange = CudaArray::create<int>(cu, gridSizeX*gridSizeY*gridSizeZ+1, "pmeAtomRange");
                pmeAtomGridIndex = CudaArray::create<int2>(cu, numParticles, "pmeAtomGridIndex");
                sort = new CudaSort(cu, new SortTrait(), cu.getNumAtoms());
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                useCudaFFT = false; // We might switch back in the future, once Nvidia has all their bugs worked out
                if (useCudaFFT) {
                    cufftResult result = cufftPlan3d(&fftForward, gridSizeX, gridSizeY, gridSizeZ, cu.getUseDoublePrecision() ? CUFFT_D2Z : CUFFT_R2C);
                    if (result != CUFFT_SUCCESS)
                        throw OpenMMException("Error initializing FFT: "+cu.intToString(result));
                    result = cufftPlan3d(&fftBackward, gridSizeX, gridSizeY, gridSizeZ, cu.getUseDoublePrecision() ? CUFFT_Z2D : CUFFT_C2R);
                    if (result != CUFFT_SUCCESS)
                        throw OpenMMException("Error initializing FFT: "+cu.intToString(result));
                    cufftSetCompatibilityMode(fftForward, CUFFT_COMPATIBILITY_NATIVE);
                    cufftSetCompatibilityMode(fftBackward, CUFFT_COMPATIBILITY_NATIVE);
                }
                else
                    fft = new CudaFFT3D(cu, gridSizeX, gridSizeY, gridSizeZ, true);
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                // Prepare for doing PME on its own stream.
                
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                char deviceName[100];
                cuDeviceGetName(deviceName, 100, cu.getDevice());
                usePmeStream = (string(deviceName) != "GeForce GTX 980"); // Using a separate stream is slower on GTX 980
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                if (usePmeStream) {
                    cuStreamCreate(&pmeStream, CU_STREAM_NON_BLOCKING);
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                    if (useCudaFFT) {
                        cufftSetStream(fftForward, pmeStream);
                        cufftSetStream(fftBackward, pmeStream);
                    }
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                    CHECK_RESULT(cuEventCreate(&pmeSyncEvent, CU_EVENT_DISABLE_TIMING), "Error creating event for NonbondedForce");
                    int recipForceGroup = force.getReciprocalSpaceForceGroup();
                    if (recipForceGroup < 0)
                        recipForceGroup = force.getForceGroup();
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                    cu.addPreComputation(new SyncStreamPreComputation(cu, pmeStream, pmeSyncEvent, recipForceGroup));
                    cu.addPostComputation(new SyncStreamPostComputation(cu, pmeSyncEvent, recipForceGroup));
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                }
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                hasInitializedFFT = true;

                // Initialize the b-spline moduli.

                int maxSize = max(max(gridSizeX, gridSizeY), gridSizeZ);
                vector<double> data(PmeOrder);
                vector<double> ddata(PmeOrder);
                vector<double> bsplines_data(maxSize);
                data[PmeOrder-1] = 0.0;
                data[1] = 0.0;
                data[0] = 1.0;
                for (int i = 3; i < PmeOrder; i++) {
                    double div = 1.0/(i-1.0);
                    data[i-1] = 0.0;
                    for (int j = 1; j < (i-1); j++)
                        data[i-j-1] = div*(j*data[i-j-2]+(i-j)*data[i-j-1]);
                    data[0] = div*data[0];
                }
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                // Differentiate.

                ddata[0] = -data[0];
                for (int i = 1; i < PmeOrder; i++)
                    ddata[i] = data[i-1]-data[i];
                double div = 1.0/(PmeOrder-1);
                data[PmeOrder-1] = 0.0;
                for (int i = 1; i < (PmeOrder-1); i++)
                    data[PmeOrder-i-1] = div*(i*data[PmeOrder-i-2]+(PmeOrder-i)*data[PmeOrder-i-1]);
                data[0] = div*data[0];
                for (int i = 0; i < maxSize; i++)
                    bsplines_data[i] = 0.0;
                for (int i = 1; i <= PmeOrder; i++)
                    bsplines_data[i] = data[i-1];

                // Evaluate the actual bspline moduli for X/Y/Z.

                for(int dim = 0; dim < 3; dim++) {
                    int ndata = (dim == 0 ? gridSizeX : dim == 1 ? gridSizeY : gridSizeZ);
                    vector<double> moduli(ndata);
                    for (int i = 0; i < ndata; i++) {
                        double sc = 0.0;
                        double ss = 0.0;
                        for (int j = 0; j < ndata; j++) {
                            double arg = (2.0*M_PI*i*j)/ndata;
                            sc += bsplines_data[j]*cos(arg);
                            ss += bsplines_data[j]*sin(arg);
                        }
                        moduli[i] = sc*sc+ss*ss;
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                    }
                    for (int i = 0; i < ndata; i++)
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                        if (moduli[i] < 1.0e-7)
                            moduli[i] = (moduli[i-1]+moduli[i+1])*0.5;
                    if (cu.getUseDoublePrecision()) {
                        if (dim == 0)
                            pmeBsplineModuliX->upload(moduli);
                        else if (dim == 1)
                            pmeBsplineModuliY->upload(moduli);
                        else
                            pmeBsplineModuliZ->upload(moduli);
                    }
                    else {
                        vector<float> modulif(ndata);
                        for (int i = 0; i < ndata; i++)
                            modulif[i] = (float) moduli[i];
                        if (dim == 0)
                            pmeBsplineModuliX->upload(modulif);
                        else if (dim == 1)
                            pmeBsplineModuliY->upload(modulif);
                        else
                            pmeBsplineModuliZ->upload(modulif);
                    }
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                }
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            }
        }
    }

    // Add the interaction to the default nonbonded kernel.
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    string source = cu.replaceStrings(CudaKernelSources::coulombLennardJones, defines);
    cu.getNonbondedUtilities().addInteraction(useCutoff, usePeriodic, true, force.getCutoffDistance(), exclusionList, source, force.getForceGroup());
    if (hasLJ)
        cu.getNonbondedUtilities().addParameter(CudaNonbondedUtilities::ParameterInfo("sigmaEpsilon", "float", 2, sizeof(float2), sigmaEpsilon->getDevicePointer()));

    // Initialize the exceptions.

    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*exceptions.size()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*exceptions.size()/numContexts;
    int numExceptions = endIndex-startIndex;
    if (numExceptions > 0) {
        exceptionAtoms.resize(numExceptions);
        vector<vector<int> > atoms(numExceptions, vector<int>(2));
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        exceptionParams = CudaArray::create<float4>(cu, numExceptions, "exceptionParams");
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        vector<float4> exceptionParamsVector(numExceptions);
        for (int i = 0; i < numExceptions; i++) {
            double chargeProd, sigma, epsilon;
            force.getExceptionParameters(exceptions[startIndex+i], atoms[i][0], atoms[i][1], chargeProd, sigma, epsilon);
            exceptionParamsVector[i] = make_float4((float) (ONE_4PI_EPS0*chargeProd), (float) sigma, (float) (4.0*epsilon), 0.0f);
            exceptionAtoms[i] = make_pair(atoms[i][0], atoms[i][1]);
        }
        exceptionParams->upload(exceptionParamsVector);
        map<string, string> replacements;
        replacements["PARAMS"] = cu.getBondedUtilities().addArgument(exceptionParams->getDevicePointer(), "float4");
        cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::nonbondedExceptions, replacements), force.getForceGroup());
    }
    cu.addForce(new CudaNonbondedForceInfo(force));
}

double CudaCalcNonbondedForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy, bool includeDirect, bool includeReciprocal) {
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    if (cosSinSums != NULL && includeReciprocal) {
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        void* sumsArgs[] = {&cu.getEnergyBuffer().getDevicePointer(), &cu.getPosq().getDevicePointer(), &cosSinSums->getDevicePointer(), cu.getPeriodicBoxSizePointer()};
        cu.executeKernel(ewaldSumsKernel, sumsArgs, cosSinSums->getSize());
        void* forcesArgs[] = {&cu.getForce().getDevicePointer(), &cu.getPosq().getDevicePointer(), &cosSinSums->getDevicePointer(), cu.getPeriodicBoxSizePointer()};
        cu.executeKernel(ewaldForcesKernel, forcesArgs, cu.getNumAtoms());
    }
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    if (directPmeGrid != NULL && includeReciprocal) {
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        if (usePmeStream)
            cu.setCurrentStream(pmeStream);
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        // Invert the periodic box vectors.
        
        Vec3 boxVectors[3];
        cu.getPeriodicBoxVectors(boxVectors[0], boxVectors[1], boxVectors[2]);
        double determinant = boxVectors[0][0]*boxVectors[1][1]*boxVectors[2][2];
        double scale = 1.0/determinant;
        double3 recipBoxVectors[3];
        recipBoxVectors[0] = make_double3(boxVectors[1][1]*boxVectors[2][2]*scale, 0, 0);
        recipBoxVectors[1] = make_double3(-boxVectors[1][0]*boxVectors[2][2]*scale, boxVectors[0][0]*boxVectors[2][2]*scale, 0);
        recipBoxVectors[2] = make_double3((boxVectors[1][0]*boxVectors[2][1]-boxVectors[1][1]*boxVectors[2][0])*scale, -boxVectors[0][0]*boxVectors[2][1]*scale, boxVectors[0][0]*boxVectors[1][1]*scale);
        float3 recipBoxVectorsFloat[3];
        void* recipBoxVectorPointer[3];
        if (cu.getUseDoublePrecision()) {
            recipBoxVectorPointer[0] = &recipBoxVectors[0];
            recipBoxVectorPointer[1] = &recipBoxVectors[1];
            recipBoxVectorPointer[2] = &recipBoxVectors[2];
        }
        else {
            recipBoxVectorsFloat[0] = make_float3((float) recipBoxVectors[0].x, 0, 0);
            recipBoxVectorsFloat[1] = make_float3((float) recipBoxVectors[1].x, (float) recipBoxVectors[1].y, 0);
            recipBoxVectorsFloat[2] = make_float3((float) recipBoxVectors[2].x, (float) recipBoxVectors[2].y, (float) recipBoxVectors[2].z);
            recipBoxVectorPointer[0] = &recipBoxVectorsFloat[0];
            recipBoxVectorPointer[1] = &recipBoxVectorsFloat[1];
            recipBoxVectorPointer[2] = &recipBoxVectorsFloat[2];
        }
        
        // Execute the reciprocal space kernels.

        void* gridIndexArgs[] = {&cu.getPosq().getDevicePointer(), &pmeAtomGridIndex->getDevicePointer(), cu.getPeriodicBoxSizePointer(),
                recipBoxVectorPointer[0], recipBoxVectorPointer[1], recipBoxVectorPointer[2]};
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        cu.executeKernel(pmeGridIndexKernel, gridIndexArgs, cu.getNumAtoms());
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        sort->sort(*pmeAtomGridIndex);
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        void* spreadArgs[] = {&cu.getPosq().getDevicePointer(), &directPmeGrid->getDevicePointer(), cu.getPeriodicBoxSizePointer(),
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                recipBoxVectorPointer[0], recipBoxVectorPointer[1], recipBoxVectorPointer[2], &pmeAtomGridIndex->getDevicePointer()};
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        cu.executeKernel(pmeSpreadChargeKernel, spreadArgs, cu.getNumAtoms(), 128);
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        if (cu.getUseDoublePrecision() || cu.getComputeCapability() < 2.0) {
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            void* finishSpreadArgs[] = {&directPmeGrid->getDevicePointer()};
            cu.executeKernel(pmeFinishSpreadChargeKernel, finishSpreadArgs, directPmeGrid->getSize());
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        }

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        if (useCudaFFT) {
            if (cu.getUseDoublePrecision())
                cufftExecD2Z(fftForward, (double*) directPmeGrid->getDevicePointer(), (double2*) reciprocalPmeGrid->getDevicePointer());
            else
                cufftExecR2C(fftForward, (float*) directPmeGrid->getDevicePointer(), (float2*) reciprocalPmeGrid->getDevicePointer());
        }
        else {
            fft->execFFT(*directPmeGrid, *reciprocalPmeGrid, true);
        }
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        if (includeEnergy) {
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            void* computeEnergyArgs[] = {&reciprocalPmeGrid->getDevicePointer(), &cu.getEnergyBuffer().getDevicePointer(),
                    &pmeBsplineModuliX->getDevicePointer(), &pmeBsplineModuliY->getDevicePointer(), &pmeBsplineModuliZ->getDevicePointer(),
                    cu.getPeriodicBoxSizePointer(), recipBoxVectorPointer[0], recipBoxVectorPointer[1], recipBoxVectorPointer[2]};
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            cu.executeKernel(pmeEvalEnergyKernel, computeEnergyArgs, cu.getNumAtoms());
        }

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        void* convolutionArgs[] = {&reciprocalPmeGrid->getDevicePointer(), &cu.getEnergyBuffer().getDevicePointer(),
                &pmeBsplineModuliX->getDevicePointer(), &pmeBsplineModuliY->getDevicePointer(), &pmeBsplineModuliZ->getDevicePointer(),
                cu.getPeriodicBoxSizePointer(), recipBoxVectorPointer[0], recipBoxVectorPointer[1], recipBoxVectorPointer[2]};
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        cu.executeKernel(pmeConvolutionKernel, convolutionArgs, cu.getNumAtoms());
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        if (useCudaFFT) {
            if (cu.getUseDoublePrecision())
                cufftExecZ2D(fftBackward, (double2*) reciprocalPmeGrid->getDevicePointer(), (double*) directPmeGrid->getDevicePointer());
            else
                cufftExecC2R(fftBackward, (float2*) reciprocalPmeGrid->getDevicePointer(), (float*)  directPmeGrid->getDevicePointer());
        }
        else {
            fft->execFFT(*reciprocalPmeGrid, *directPmeGrid, false);
        }
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        void* interpolateArgs[] = {&cu.getPosq().getDevicePointer(), &cu.getForce().getDevicePointer(), &directPmeGrid->getDevicePointer(),
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                cu.getPeriodicBoxSizePointer(), recipBoxVectorPointer[0], recipBoxVectorPointer[1], recipBoxVectorPointer[2], &pmeAtomGridIndex->getDevicePointer()};
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        cu.executeKernel(pmeInterpolateForceKernel, interpolateArgs, cu.getNumAtoms(), 128);
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        if (usePmeStream) {
            cuEventRecord(pmeSyncEvent, pmeStream);
            cu.restoreDefaultStream();
        }
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    }
    double energy = (includeReciprocal ? ewaldSelfEnergy : 0.0);
    if (dispersionCoefficient != 0.0 && includeDirect) {
        double4 boxSize = cu.getPeriodicBoxSize();
        energy += dispersionCoefficient/(boxSize.x*boxSize.y*boxSize.z);
    }
    return energy;
}

void CudaCalcNonbondedForceKernel::copyParametersToContext(ContextImpl& context, const NonbondedForce& force) {
    // Make sure the new parameters are acceptable.
    
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    cu.setAsCurrent();
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    if (force.getNumParticles() != cu.getNumAtoms())
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
    if (!hasCoulomb || !hasLJ) {
        for (int i = 0; i < force.getNumParticles(); i++) {
            double charge, sigma, epsilon;
            force.getParticleParameters(i, charge, sigma, epsilon);
            if (!hasCoulomb && charge != 0.0)
                throw OpenMMException("updateParametersInContext: The nonbonded force kernel does not include Coulomb interactions, because all charges were originally 0");
            if (!hasLJ && epsilon != 0.0)
                throw OpenMMException("updateParametersInContext: The nonbonded force kernel does not include Lennard-Jones interactions, because all epsilons were originally 0");
        }
    }
    vector<int> exceptions;
    for (int i = 0; i < force.getNumExceptions(); i++) {
        int particle1, particle2;
        double chargeProd, sigma, epsilon;
        force.getExceptionParameters(i, particle1, particle2, chargeProd, sigma, epsilon);
        if (exceptionAtoms.size() > exceptions.size() && make_pair(particle1, particle2) == exceptionAtoms[exceptions.size()])
            exceptions.push_back(i);
        else if (chargeProd != 0.0 || epsilon != 0.0)
            throw OpenMMException("updateParametersInContext: The set of non-excluded exceptions has changed");
    }
    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*exceptions.size()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*exceptions.size()/numContexts;
    int numExceptions = endIndex-startIndex;
    
    // Record the per-particle parameters.
    
    CudaArray& posq = cu.getPosq();
    posq.download(cu.getPinnedBuffer());
    float4* posqf = (float4*) cu.getPinnedBuffer();
    double4* posqd = (double4*) cu.getPinnedBuffer();
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    vector<float2> sigmaEpsilonVector(cu.getPaddedNumAtoms(), make_float2(0, 0));
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    double sumSquaredCharges = 0.0;
    const vector<int>& order = cu.getAtomIndex();
    for (int i = 0; i < force.getNumParticles(); i++) {
        int index = order[i];
        double charge, sigma, epsilon;
        force.getParticleParameters(index, charge, sigma, epsilon);
        if (cu.getUseDoublePrecision())
            posqd[i].w = charge;
        else
            posqf[i].w = (float) charge;
        sigmaEpsilonVector[index] = make_float2((float) (0.5*sigma), (float) (2.0*sqrt(epsilon)));
        sumSquaredCharges += charge*charge;
    }
    posq.upload(cu.getPinnedBuffer());
    sigmaEpsilon->upload(sigmaEpsilonVector);
    
    // Record the exceptions.
    
    if (numExceptions > 0) {
        vector<vector<int> > atoms(numExceptions, vector<int>(2));
        vector<float4> exceptionParamsVector(numExceptions);
        for (int i = 0; i < numExceptions; i++) {
            double chargeProd, sigma, epsilon;
            force.getExceptionParameters(exceptions[startIndex+i], atoms[i][0], atoms[i][1], chargeProd, sigma, epsilon);
            exceptionParamsVector[i] = make_float4((float) (ONE_4PI_EPS0*chargeProd), (float) sigma, (float) (4.0*epsilon), 0.0f);
        }
        exceptionParams->upload(exceptionParamsVector);
    }
    
    // Compute other values.
    
    NonbondedForce::NonbondedMethod method = force.getNonbondedMethod();
    if (method == NonbondedForce::Ewald || method == NonbondedForce::PME)
        ewaldSelfEnergy = (cu.getContextIndex() == 0 ? -ONE_4PI_EPS0*alpha*sumSquaredCharges/sqrt(M_PI) : 0.0);
    if (force.getUseDispersionCorrection() && cu.getContextIndex() == 0 && (method == NonbondedForce::CutoffPeriodic || method == NonbondedForce::Ewald || method == NonbondedForce::PME))
        dispersionCoefficient = NonbondedForceImpl::calcDispersionCorrection(context.getSystem(), force);
    cu.invalidateMolecules();
}

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class CudaCustomNonbondedForceInfo : public CudaForceInfo {
public:
    CudaCustomNonbondedForceInfo(const CustomNonbondedForce& force) : force(force) {
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        if (force.getNumInteractionGroups() > 0) {
            groupsForParticle.resize(force.getNumParticles());
            for (int i = 0; i < force.getNumInteractionGroups(); i++) {
                set<int> set1, set2;
                force.getInteractionGroupParameters(i, set1, set2);
                for (set<int>::const_iterator iter = set1.begin(); iter != set1.end(); ++iter)
                    groupsForParticle[*iter].insert(2*i);
                for (set<int>::const_iterator iter = set2.begin(); iter != set2.end(); ++iter)
                    groupsForParticle[*iter].insert(2*i+1);
            }
        }
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    }
    bool areParticlesIdentical(int particle1, int particle2) {
        vector<double> params1;
        vector<double> params2;
        force.getParticleParameters(particle1, params1);
        force.getParticleParameters(particle2, params2);
        for (int i = 0; i < (int) params1.size(); i++)
            if (params1[i] != params2[i])
                return false;
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        if (groupsForParticle.size() > 0 && groupsForParticle[particle1] != groupsForParticle[particle2])
            return false;
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        return true;
    }
    int getNumParticleGroups() {
        return force.getNumExclusions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2;
        force.getExclusionParticles(index, particle1, particle2);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
    }
    bool areGroupsIdentical(int group1, int group2) {
        return true;
    }
private:
    const CustomNonbondedForce& force;
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    vector<set<int> > groupsForParticle;
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};

CudaCalcCustomNonbondedForceKernel::~CudaCalcCustomNonbondedForceKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
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    if (interactionGroupData != NULL)
        delete interactionGroupData;
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    for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
        delete tabulatedFunctions[i];
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    if (forceCopy != NULL)
        delete forceCopy;
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}

void CudaCalcCustomNonbondedForceKernel::initialize(const System& system, const CustomNonbondedForce& force) {
    cu.setAsCurrent();
    int forceIndex;
    for (forceIndex = 0; forceIndex < system.getNumForces() && &system.getForce(forceIndex) != &force; ++forceIndex)
        ;
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    string prefix = (force.getNumInteractionGroups() == 0 ? "custom"+cu.intToString(forceIndex)+"_" : "");
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    // Record parameters and exclusions.

    int numParticles = force.getNumParticles();
    params = new CudaParameterSet(cu, force.getNumPerParticleParameters(), numParticles, "customNonbondedParameters");
    if (force.getNumGlobalParameters() > 0)
        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customNonbondedGlobals");
    vector<vector<float> > paramVector(numParticles);
    vector<vector<int> > exclusionList(numParticles);
    for (int i = 0; i < numParticles; i++) {
        vector<double> parameters;
        force.getParticleParameters(i, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
        exclusionList[i].push_back(i);
    }
    for (int i = 0; i < force.getNumExclusions(); i++) {
        int particle1, particle2;
        force.getExclusionParticles(i, particle1, particle2);
        exclusionList[particle1].push_back(particle2);
        exclusionList[particle2].push_back(particle1);
    }
    params->setParameterValues(paramVector);

    // Record the tabulated functions.

    map<string, Lepton::CustomFunction*> functions;
    vector<pair<string, string> > functionDefinitions;
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    vector<const TabulatedFunction*> functionList;
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    for (int i = 0; i < force.getNumTabulatedFunctions(); i++) {
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        functionList.push_back(&force.getTabulatedFunction(i));
        string name = force.getTabulatedFunctionName(i);
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        string arrayName = prefix+"table"+cu.intToString(i);
        functionDefinitions.push_back(make_pair(name, arrayName));
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        functions[name] = cu.getExpressionUtilities().getFunctionPlaceholder(force.getTabulatedFunction(i));
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        int width;
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        vector<float> f = cu.getExpressionUtilities().computeFunctionCoefficients(force.getTabulatedFunction(i), width);
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        tabulatedFunctions.push_back(CudaArray::create<float>(cu, f.size(), "TabulatedFunction"));
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        tabulatedFunctions[tabulatedFunctions.size()-1]->upload(f);
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        cu.getNonbondedUtilities().addArgument(CudaNonbondedUtilities::ParameterInfo(arrayName, "float", width, width*sizeof(float), tabulatedFunctions[tabulatedFunctions.size()-1]->getDevicePointer()));
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    }

    // Record information for the expressions.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    if (globals != NULL)
        globals->upload(globalParamValues);
    bool useCutoff = (force.getNonbondedMethod() != CustomNonbondedForce::NoCutoff);
    bool usePeriodic = (force.getNonbondedMethod() != CustomNonbondedForce::NoCutoff && force.getNonbondedMethod() != CustomNonbondedForce::CutoffNonPeriodic);
    Lepton::ParsedExpression energyExpression = Lepton::Parser::parse(force.getEnergyFunction(), functions).optimize();
    Lepton::ParsedExpression forceExpression = energyExpression.differentiate("r").optimize();
    map<string, Lepton::ParsedExpression> forceExpressions;
    forceExpressions["tempEnergy += "] = energyExpression;
    forceExpressions["tempForce -= "] = forceExpression;

    // Create the kernels.

    vector<pair<ExpressionTreeNode, string> > variables;
    ExpressionTreeNode rnode(new Operation::Variable("r"));
    variables.push_back(make_pair(rnode, "r"));
    variables.push_back(make_pair(ExpressionTreeNode(new Operation::Square(), rnode), "r2"));
    variables.push_back(make_pair(ExpressionTreeNode(new Operation::Reciprocal(), rnode), "invR"));
    for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
        const string& name = force.getPerParticleParameterName(i);
        variables.push_back(makeVariable(name+"1", prefix+"params"+params->getParameterSuffix(i, "1")));
        variables.push_back(makeVariable(name+"2", prefix+"params"+params->getParameterSuffix(i, "2")));
    }
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        const string& name = force.getGlobalParameterName(i);
        string value = "globals["+cu.intToString(i)+"]";
        variables.push_back(makeVariable(name, prefix+value));
    }
    stringstream compute;
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    compute << cu.getExpressionUtilities().createExpressions(forceExpressions, variables, functionList, functionDefinitions, prefix+"temp");
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    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = compute.str();
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    replacements["USE_SWITCH"] = (useCutoff && force.getUseSwitchingFunction() ? "1" : "0");
    if (force.getUseSwitchingFunction()) {
        // Compute the switching coefficients.
        
        replacements["SWITCH_CUTOFF"] = cu.doubleToString(force.getSwitchingDistance());
        replacements["SWITCH_C3"] = cu.doubleToString(10/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 3.0));
        replacements["SWITCH_C4"] = cu.doubleToString(15/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 4.0));
        replacements["SWITCH_C5"] = cu.doubleToString(6/pow(force.getSwitchingDistance()-force.getCutoffDistance(), 5.0));
    }
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    string source = cu.replaceStrings(CudaKernelSources::customNonbonded, replacements);
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    if (force.getNumInteractionGroups() > 0)
        initInteractionGroups(force, source);
    else {
        cu.getNonbondedUtilities().addInteraction(useCutoff, usePeriodic, true, force.getCutoffDistance(), exclusionList, source, force.getForceGroup());
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            cu.getNonbondedUtilities().addParameter(CudaNonbondedUtilities::ParameterInfo(prefix+"params"+cu.intToString(i+1), buffer.getComponentType(), buffer.getNumComponents(), buffer.getSize(), buffer.getMemory()));
        }
        if (globals != NULL) {
            globals->upload(globalParamValues);
            cu.getNonbondedUtilities().addArgument(CudaNonbondedUtilities::ParameterInfo(prefix+"globals", "float", 1, sizeof(float), globals->getDevicePointer()));
        }
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    }
    cu.addForce(new CudaCustomNonbondedForceInfo(force));
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    // Record information for the long range correction.
    
    if (force.getNonbondedMethod() == CustomNonbondedForce::CutoffPeriodic && force.getUseLongRangeCorrection() && cu.getContextIndex() == 0) {
        forceCopy = new CustomNonbondedForce(force);
        hasInitializedLongRangeCorrection = false;
    }
    else {
        longRangeCoefficient = 0.0;
        hasInitializedLongRangeCorrection = true;
    }
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}

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void CudaCalcCustomNonbondedForceKernel::initInteractionGroups(const CustomNonbondedForce& force, const string& interactionSource) {
    // Process groups to form tiles.
    
    vector<vector<int> > atomLists;
    vector<pair<int, int> > tiles;
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    map<pair<int, int>, int> duplicateInteractions;
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    for (int group = 0; group < force.getNumInteractionGroups(); group++) {
        // Get the list of atoms in this group and sort them.
        
        set<int> set1, set2;
        force.getInteractionGroupParameters(group, set1, set2);
        vector<int> atoms1, atoms2;
        atoms1.insert(atoms1.begin(), set1.begin(), set1.end());
        atoms2.insert(atoms2.begin(), set2.begin(), set2.end());
        sort(atoms1.begin(), atoms1.end());
        sort(atoms2.begin(), atoms2.end());
        
        // Find how many tiles we will create for this group.
        
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        int tileWidth = min(min(32, (int) atoms1.size()), (int) atoms2.size());
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        if (tileWidth == 0)
            continue;
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        int numBlocks1 = (atoms1.size()+tileWidth-1)/tileWidth;
        int numBlocks2 = (atoms2.size()+tileWidth-1)/tileWidth;
        
        // Add the tiles.
        
        for (int i = 0; i < numBlocks1; i++)
            for (int j = 0; j < numBlocks2; j++)
                tiles.push_back(make_pair(atomLists.size()+i, atomLists.size()+numBlocks1+j));
        
        // Add the atom lists.
        
        for (int i = 0; i < numBlocks1; i++) {
            vector<int> atoms;
            int first = i*tileWidth;
            int last = min((i+1)*tileWidth, (int) atoms1.size());
            for (int j = first; j < last; j++)
                atoms.push_back(atoms1[j]);
            atomLists.push_back(atoms);
        }
        for (int i = 0; i < numBlocks2; i++) {
            vector<int> atoms;
            int first = i*tileWidth;
            int last = min((i+1)*tileWidth, (int) atoms2.size());
            for (int j = first; j < last; j++)
                atoms.push_back(atoms2[j]);
            atomLists.push_back(atoms);
        }
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        // If this group contains duplicate interactions, record that we need to skip them once.
        
        for (int i = 0; i < (int) atoms1.size(); i++) {
            int a1 = atoms1[i];
            if (set2.find(a1) == set2.end())
                continue;
            for (int j = 0; j < (int) atoms2.size() && atoms2[j] < a1; j++) {
                int a2 = atoms2[j];
                if (set1.find(a2) != set1.end()) {
                    pair<int, int> key = make_pair(a2, a1);
                    if (duplicateInteractions.find(key) == duplicateInteractions.end())
                        duplicateInteractions[key] = 0;
                    duplicateInteractions[key]++;
                }
            }
        }
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    }
    
    // Build a lookup table for quickly identifying excluded interactions.
    
    set<pair<int, int> > exclusions;
    for (int i = 0; i < force.getNumExclusions(); i++) {
        int p1, p2;
        force.getExclusionParticles(i, p1, p2);
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        exclusions.insert(make_pair(min(p1, p2), max(p1, p2)));
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    }
    
    // Build the exclusion flags for each tile.  While we're at it, filter out tiles
    // where all interactions are excluded, and sort the tiles by size.

    vector<vector<int> > exclusionFlags(tiles.size());
    vector<pair<int, int> > tileOrder;
    for (int tile = 0; tile < tiles.size(); tile++) {
        if (atomLists[tiles[tile].first].size() < atomLists[tiles[tile].second].size()) {
            // For efficiency, we want the first axis to be the larger one.
            
            int swap = tiles[tile].first;
            tiles[tile].first = tiles[tile].second;
            tiles[tile].second = swap;
        }
        vector<int>& atoms1 = atomLists[tiles[tile].first];
        vector<int>& atoms2 = atomLists[tiles[tile].second];
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        vector<int> flags(atoms1.size(), (int) (1LL<<atoms2.size())-1);
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        int numExcluded = 0;
        for (int i = 0; i < (int) atoms1.size(); i++)
            for (int j = 0; j < (int) atoms2.size(); j++) {
                int a1 = atoms1[i];
                int a2 = atoms2[j];
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                bool isExcluded = false;
                pair<int, int> key = make_pair(min(a1, a2), max(a1, a2));
                if (a1 == a2 || exclusions.find(key) != exclusions.end())
                    isExcluded = true; // This is an excluded interaction.
                else if (duplicateInteractions.find(key) != duplicateInteractions.end() && duplicateInteractions[key] > 0) {
                    // Both atoms are in both sets, so skip duplicate interactions.
                    
                    isExcluded = true;
                    duplicateInteractions[key]--;
                }
                if (isExcluded) {
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                    flags[i] &= -1-(1<<j);
                    numExcluded++;
                }
            }
        if (numExcluded == atoms1.size()*atoms2.size())
            continue; // All interactions are excluded.
        tileOrder.push_back(make_pair((int) -atoms2.size(), tile));
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        exclusionFlags[tile] = flags;
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    }
    sort(tileOrder.begin(), tileOrder.end());
    
    // Merge tiles to get as close as possible to 32 along the first axis of each one.
    
    vector<int> tileSetStart;
    tileSetStart.push_back(0);
    int tileSetSize = 0;
    for (int i = 0; i < tileOrder.size(); i++) {
        int tile = tileOrder[i].second;
        int size = atomLists[tiles[tile].first].size();
        if (tileSetSize+size > 32) {
            tileSetStart.push_back(i);
            tileSetSize = 0;
        }
        tileSetSize += size;
    }
    tileSetStart.push_back(tileOrder.size());
    
    // Build the data structures.
    
    int numTileSets = tileSetStart.size()-1;
    vector<int4> groupData;
    for (int tileSet = 0; tileSet < numTileSets; tileSet++) {
        int indexInTileSet = 0;
        for (int i = tileSetStart[tileSet]; i < tileSetStart[tileSet+1]; i++) {
            int tile = tileOrder[i].second;
            vector<int>& atoms1 = atomLists[tiles[tile].first];
            vector<int>& atoms2 = atomLists[tiles[tile].second];
            int range = indexInTileSet + ((indexInTileSet+atoms1.size())<<16);
            int allFlags = (1<<atoms2.size())-1;
            for (int j = 0; j < (int) atoms1.size(); j++) {
                int a1 = atoms1[j];
                int a2 = (j < atoms2.size() ? atoms2[j] : 0);
                int flags = (exclusionFlags[tile].size() > 0 ? exclusionFlags[tile][j] : allFlags);
                groupData.push_back(make_int4(a1, a2, range, flags<<indexInTileSet));
            }
            indexInTileSet += atoms1.size();
        }
        for (; indexInTileSet < 32; indexInTileSet++)
            groupData.push_back(make_int4(0, 0, 0, 0));
    }
    interactionGroupData = CudaArray::create<int4>(cu, groupData.size(), "interactionGroupData");
    interactionGroupData->upload(groupData);
    
    // Create the kernel.
    
    map<string, string> replacements;
    replacements["COMPUTE_INTERACTION"] = interactionSource;
    const string suffixes[] = {"x", "y", "z", "w"};
    stringstream localData;
    int localDataSize = 0;
    vector<CudaNonbondedUtilities::ParameterInfo>& buffers = params->getBuffers(); 
    for (int i = 0; i < (int) buffers.size(); i++) {
        if (buffers[i].getNumComponents() == 1)
            localData<<buffers[i].getComponentType()<<" params"<<(i+1)<<";\n";
        else {
            for (int j = 0; j < buffers[i].getNumComponents(); ++j)
                localData<<buffers[i].getComponentType()<<" params"<<(i+1)<<"_"<<suffixes[j]<<";\n";
        }
        localDataSize += buffers[i].getSize();
    }
    replacements["ATOM_PARAMETER_DATA"] = localData.str();
    stringstream args;
    for (int i = 0; i < (int) buffers.size(); i++)
        args<<", const "<<buffers[i].getType()<<"* __restrict__ global_params"<<(i+1);
    if (globals != NULL)
        args<<", const float* __restrict__ globals";
    replacements["PARAMETER_ARGUMENTS"] = args.str();
    stringstream load1;
    for (int i = 0; i < (int) buffers.size(); i++)
        load1<<buffers[i].getType()<<" params"<<(i+1)<<"1 = global_params"<<(i+1)<<"[atom1];\n";
    replacements["LOAD_ATOM1_PARAMETERS"] = load1.str();
    stringstream loadLocal2;
    for (int i = 0; i < (int) buffers.size(); i++) {
        if (buffers[i].getNumComponents() == 1)
            loadLocal2<<"localData[threadIdx.x].params"<<(i+1)<<" = global_params"<<(i+1)<<"[atom2];\n";
        else {
            loadLocal2<<buffers[i].getType()<<" temp_params"<<(i+1)<<" = global_params"<<(i+1)<<"[atom2];\n";
            for (int j = 0; j < buffers[i].getNumComponents(); ++j)
                loadLocal2<<"localData[threadIdx.x].params"<<(i+1)<<"_"<<suffixes[j]<<" = temp_params"<<(i+1)<<"."<<suffixes[j]<<";\n";
        }
    }
    replacements["LOAD_LOCAL_PARAMETERS"] = loadLocal2.str();
    stringstream load2;
    for (int i = 0; i < (int) buffers.size(); i++) {
        if (buffers[i].getNumComponents() == 1)
            load2<<buffers[i].getType()<<" params"<<(i+1)<<"2 = localData[localIndex].params"<<(i+1)<<";\n";
        else {
            load2<<buffers[i].getType()<<" params"<<(i+1)<<"2 = make_"<<buffers[i].getType()<<"(";
            for (int j = 0; j < buffers[i].getNumComponents(); ++j) {
                if (j > 0)
                    load2<<", ";
                load2<<"localData[localIndex].params"<<(i+1)<<"_"<<suffixes[j];
            }
            load2<<");\n";
        }
    }
    replacements["LOAD_ATOM2_PARAMETERS"] = load2.str();
    map<string, string> defines;
    if (force.getNonbondedMethod() != CustomNonbondedForce::NoCutoff)
        defines["USE_CUTOFF"] = "1";
    if (force.getNonbondedMethod() == CustomNonbondedForce::CutoffPeriodic)
        defines["USE_PERIODIC"] = "1";
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    defines["LOCAL_MEMORY_SIZE"] = cu.intToString(max(32, cu.getNonbondedUtilities().getForceThreadBlockSize()));
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    double cutoff = force.getCutoffDistance();
    defines["CUTOFF_SQUARED"] = cu.doubleToString(cutoff*cutoff);
    defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
    defines["TILE_SIZE"] = "32";
    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*numTileSets/numContexts;
    int endIndex = (cu.getContextIndex()+1)*numTileSets/numContexts;
    defines["FIRST_TILE"] = cu.intToString(startIndex);
    defines["LAST_TILE"] = cu.intToString(endIndex);
    if ((localDataSize/4)%2 == 0 && !cu.getUseDoublePrecision())
        defines["PARAMETER_SIZE_IS_EVEN"] = "1";
    CUmodule program = cu.createModule(CudaKernelSources::vectorOps+cu.replaceStrings(CudaKernelSources::customNonbondedGroups, replacements), defines);
    interactionGroupKernel = cu.getKernel(program, "computeInteractionGroups");
    numGroupThreadBlocks = cu.getNonbondedUtilities().getNumForceThreadBlocks();
}

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double CudaCalcCustomNonbondedForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
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        if (changed) {
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            globals->upload(globalParamValues);
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            if (forceCopy != NULL) {
                longRangeCoefficient = CustomNonbondedForceImpl::calcLongRangeCorrection(*forceCopy, context.getOwner());
                hasInitializedLongRangeCorrection = true;
            }
        }
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    }
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    if (!hasInitializedLongRangeCorrection) {
        longRangeCoefficient = CustomNonbondedForceImpl::calcLongRangeCorrection(*forceCopy, context.getOwner());
        hasInitializedLongRangeCorrection = true;
    }
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    if (interactionGroupData != NULL) {
        if (!hasInitializedKernel) {
            hasInitializedKernel = true;
            interactionGroupArgs.push_back(&cu.getForce().getDevicePointer());
            interactionGroupArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
            interactionGroupArgs.push_back(&cu.getPosq().getDevicePointer());
            interactionGroupArgs.push_back(&interactionGroupData->getDevicePointer());
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            interactionGroupArgs.push_back(cu.getPeriodicBoxSizePointer());
            interactionGroupArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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            interactionGroupArgs.push_back(cu.getPeriodicBoxVecXPointer());
            interactionGroupArgs.push_back(cu.getPeriodicBoxVecYPointer());
            interactionGroupArgs.push_back(cu.getPeriodicBoxVecZPointer());
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            for (int i = 0; i < (int) params->getBuffers().size(); i++)
                interactionGroupArgs.push_back(&params->getBuffers()[i].getMemory());
            if (globals != NULL)
                interactionGroupArgs.push_back(&globals->getDevicePointer());
        }
        int forceThreadBlockSize = cu.getNonbondedUtilities().getForceThreadBlockSize();
        cu.executeKernel(interactionGroupKernel, &interactionGroupArgs[0], numGroupThreadBlocks*forceThreadBlockSize, forceThreadBlockSize);
    }
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    double4 boxSize = cu.getPeriodicBoxSize();
    return longRangeCoefficient/(boxSize.x*boxSize.y*boxSize.z);
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}

void CudaCalcCustomNonbondedForceKernel::copyParametersToContext(ContextImpl& context, const CustomNonbondedForce& force) {
    cu.setAsCurrent();
    int numParticles = force.getNumParticles();
    if (numParticles != cu.getNumAtoms())
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
    
    // Record the per-particle parameters.
    
    vector<vector<float> > paramVector(numParticles);
    vector<double> parameters;
    for (int i = 0; i < numParticles; i++) {
        force.getParticleParameters(i, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
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    // If necessary, recompute the long range correction.
    
    if (forceCopy != NULL) {
        longRangeCoefficient = CustomNonbondedForceImpl::calcLongRangeCorrection(force, context.getOwner());
        hasInitializedLongRangeCorrection = true;
        *forceCopy = force;
    }
    
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    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaGBSAOBCForceInfo : public CudaForceInfo {
public:
    CudaGBSAOBCForceInfo(const GBSAOBCForce& force) : force(force) {
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        double charge1, charge2, radius1, radius2, scale1, scale2;
        force.getParticleParameters(particle1, charge1, radius1, scale1);
        force.getParticleParameters(particle2, charge2, radius2, scale2);
        return (charge1 == charge2 && radius1 == radius2 && scale1 == scale2);
    }
private:
    const GBSAOBCForce& force;
};

CudaCalcGBSAOBCForceKernel::~CudaCalcGBSAOBCForceKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
    if (bornSum != NULL)
        delete bornSum;
    if (bornRadii != NULL)
        delete bornRadii;
    if (bornForce != NULL)
        delete bornForce;
    if (obcChain != NULL)
        delete obcChain;
}

void CudaCalcGBSAOBCForceKernel::initialize(const System& system, const GBSAOBCForce& force) {
    cu.setAsCurrent();
    if (cu.getPlatformData().contexts.size() > 1)
        throw OpenMMException("GBSAOBCForce does not support using multiple CUDA devices");
    CudaNonbondedUtilities& nb = cu.getNonbondedUtilities();
    params = CudaArray::create<float2>(cu, cu.getPaddedNumAtoms(), "gbsaObcParams");
    if (cu.getUseDoublePrecision()) {
        bornRadii = CudaArray::create<double>(cu, cu.getPaddedNumAtoms(), "bornRadii");
        obcChain = CudaArray::create<double>(cu, cu.getPaddedNumAtoms(), "obcChain");
    }
    else {
        bornRadii = CudaArray::create<float>(cu, cu.getPaddedNumAtoms(), "bornRadii");
        obcChain = CudaArray::create<float>(cu, cu.getPaddedNumAtoms(), "obcChain");
    }
    bornSum = CudaArray::create<long long>(cu, cu.getPaddedNumAtoms(), "bornSum");
    bornForce = CudaArray::create<long long>(cu, cu.getPaddedNumAtoms(), "bornForce");
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    cu.addAutoclearBuffer(*bornSum);
    cu.addAutoclearBuffer(*bornForce);
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    CudaArray& posq = cu.getPosq();
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    vector<double4> temp(posq.getSize());
    float4* posqf = (float4*) &temp[0];
    double4* posqd = (double4*) &temp[0];
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    vector<float2> paramsVector(cu.getPaddedNumAtoms(), make_float2(1, 1));
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    const double dielectricOffset = 0.009;
    for (int i = 0; i < force.getNumParticles(); i++) {
        double charge, radius, scalingFactor;
        force.getParticleParameters(i, charge, radius, scalingFactor);
        radius -= dielectricOffset;
        paramsVector[i] = make_float2((float) radius, (float) (scalingFactor*radius));
        if (cu.getUseDoublePrecision())
            posqd[i] = make_double4(0, 0, 0, charge);
        else
            posqf[i] = make_float4(0, 0, 0, (float) charge);
    }
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    posq.upload(&temp[0]);
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    params->upload(paramsVector);
    prefactor = -ONE_4PI_EPS0*((1.0/force.getSoluteDielectric())-(1.0/force.getSolventDielectric()));
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    surfaceAreaFactor = -6.0*4*M_PI*force.getSurfaceAreaEnergy();
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    bool useCutoff = (force.getNonbondedMethod() != GBSAOBCForce::NoCutoff);
    bool usePeriodic = (force.getNonbondedMethod() != GBSAOBCForce::NoCutoff && force.getNonbondedMethod() != GBSAOBCForce::CutoffNonPeriodic);
    string source = CudaKernelSources::gbsaObc2;
    nb.addInteraction(useCutoff, usePeriodic, false, force.getCutoffDistance(), vector<vector<int> >(), source, force.getForceGroup());
    nb.addParameter(CudaNonbondedUtilities::ParameterInfo("obcParams", "float", 2, sizeof(float2), params->getDevicePointer()));;
    nb.addParameter(CudaNonbondedUtilities::ParameterInfo("bornForce", "long long", 1, sizeof(long long), bornForce->getDevicePointer()));;
    cu.addForce(new CudaGBSAOBCForceInfo(force));
}

double CudaCalcGBSAOBCForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    CudaNonbondedUtilities& nb = cu.getNonbondedUtilities();
    if (!hasCreatedKernels) {
        // These Kernels cannot be created in initialize(), because the CudaNonbondedUtilities has not been initialized yet then.

        hasCreatedKernels = true;
        maxTiles = (nb.getUseCutoff() ? nb.getInteractingTiles().getSize() : cu.getNumAtomBlocks()*(cu.getNumAtomBlocks()+1)/2);
        map<string, string> defines;
        if (nb.getUseCutoff())
            defines["USE_CUTOFF"] = "1";
        if (nb.getUsePeriodic())
            defines["USE_PERIODIC"] = "1";
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        if (cu.getComputeCapability() >= 3.0 && !cu.getUseDoublePrecision())
            defines["ENABLE_SHUFFLE"] = "1";
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        defines["CUTOFF_SQUARED"] = cu.doubleToString(nb.getCutoffDistance()*nb.getCutoffDistance());
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        defines["CUTOFF"] = cu.doubleToString(nb.getCutoffDistance());
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        defines["PREFACTOR"] = cu.doubleToString(prefactor);
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        defines["SURFACE_AREA_FACTOR"] = cu.doubleToString(surfaceAreaFactor);
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        defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        defines["NUM_BLOCKS"] = cu.intToString(cu.getNumAtomBlocks());
        defines["FORCE_WORK_GROUP_SIZE"] = cu.intToString(nb.getForceThreadBlockSize());
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        defines["TILE_SIZE"] = cu.intToString(CudaContext::TileSize);
        int numExclusionTiles = nb.getExclusionTiles().getSize();
        defines["NUM_TILES_WITH_EXCLUSIONS"] = cu.intToString(numExclusionTiles);
        int numContexts = cu.getPlatformData().contexts.size();
        int startExclusionIndex = cu.getContextIndex()*numExclusionTiles/numContexts;
        int endExclusionIndex = (cu.getContextIndex()+1)*numExclusionTiles/numContexts;
        defines["FIRST_EXCLUSION_TILE"] = cu.intToString(startExclusionIndex);
        defines["LAST_EXCLUSION_TILE"] = cu.intToString(endExclusionIndex);
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        map<string, string> replacements;
        CUmodule module = cu.createModule(CudaKernelSources::vectorOps+cu.replaceStrings(CudaKernelSources::gbsaObc1, replacements), defines);
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        computeBornSumKernel = cu.getKernel(module, "computeBornSum");
        computeSumArgs.push_back(&bornSum->getDevicePointer());
        computeSumArgs.push_back(&cu.getPosq().getDevicePointer());
        computeSumArgs.push_back(&params->getDevicePointer());
        if (nb.getUseCutoff()) {
            computeSumArgs.push_back(&nb.getInteractingTiles().getDevicePointer());
            computeSumArgs.push_back(&nb.getInteractionCount().getDevicePointer());
            computeSumArgs.push_back(cu.getPeriodicBoxSizePointer());
            computeSumArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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            computeSumArgs.push_back(cu.getPeriodicBoxVecXPointer());
            computeSumArgs.push_back(cu.getPeriodicBoxVecYPointer());
            computeSumArgs.push_back(cu.getPeriodicBoxVecZPointer());
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            computeSumArgs.push_back(&maxTiles);
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            computeSumArgs.push_back(&nb.getBlockCenters().getDevicePointer());
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            computeSumArgs.push_back(&nb.getBlockBoundingBoxes().getDevicePointer());
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            computeSumArgs.push_back(&nb.getInteractingAtoms().getDevicePointer());
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        }
        else
            computeSumArgs.push_back(&maxTiles);
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        computeSumArgs.push_back(&nb.getExclusionTiles().getDevicePointer());
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        force1Kernel = cu.getKernel(module, "computeGBSAForce1");
        force1Args.push_back(&cu.getForce().getDevicePointer());
        force1Args.push_back(&bornForce->getDevicePointer());
        force1Args.push_back(&cu.getEnergyBuffer().getDevicePointer());
        force1Args.push_back(&cu.getPosq().getDevicePointer());
        force1Args.push_back(&bornRadii->getDevicePointer());
        if (nb.getUseCutoff()) {
            force1Args.push_back(&nb.getInteractingTiles().getDevicePointer());
            force1Args.push_back(&nb.getInteractionCount().getDevicePointer());
            force1Args.push_back(cu.getPeriodicBoxSizePointer());
            force1Args.push_back(cu.getInvPeriodicBoxSizePointer());
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            force1Args.push_back(cu.getPeriodicBoxVecXPointer());
            force1Args.push_back(cu.getPeriodicBoxVecYPointer());
            force1Args.push_back(cu.getPeriodicBoxVecZPointer());
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            force1Args.push_back(&maxTiles);
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            force1Args.push_back(&nb.getBlockCenters().getDevicePointer());
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            force1Args.push_back(&nb.getBlockBoundingBoxes().getDevicePointer());
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            force1Args.push_back(&nb.getInteractingAtoms().getDevicePointer());
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        }
        else
            force1Args.push_back(&maxTiles);
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        force1Args.push_back(&nb.getExclusionTiles().getDevicePointer());
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        reduceBornSumKernel = cu.getKernel(module, "reduceBornSum");
        reduceBornForceKernel = cu.getKernel(module, "reduceBornForce");
    }
    if (nb.getUseCutoff()) {
        if (maxTiles < nb.getInteractingTiles().getSize()) {
            maxTiles = nb.getInteractingTiles().getSize();
            computeSumArgs[3] = &nb.getInteractingTiles().getDevicePointer();
            force1Args[5] = &nb.getInteractingTiles().getDevicePointer();
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            computeSumArgs[13] = &nb.getInteractingAtoms().getDevicePointer();
            force1Args[15] = &nb.getInteractingAtoms().getDevicePointer();
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        }
    }
    cu.executeKernel(computeBornSumKernel, &computeSumArgs[0], nb.getNumForceThreadBlocks()*nb.getForceThreadBlockSize(), nb.getForceThreadBlockSize());
    float alpha = 1.0f, beta = 0.8f, gamma = 4.85f;
    void* reduceSumArgs[] = {&alpha, &beta, &gamma, &bornSum->getDevicePointer(), &params->getDevicePointer(),
            &bornRadii->getDevicePointer(), &obcChain->getDevicePointer()};
    cu.executeKernel(reduceBornSumKernel, reduceSumArgs, cu.getPaddedNumAtoms());
    cu.executeKernel(force1Kernel, &force1Args[0], nb.getNumForceThreadBlocks()*nb.getForceThreadBlockSize(), nb.getForceThreadBlockSize());
    void* reduceForceArgs[] = {&bornForce->getDevicePointer(), &cu.getEnergyBuffer().getDevicePointer(), &params->getDevicePointer(),
            &bornRadii->getDevicePointer(), &obcChain->getDevicePointer()};
    cu.executeKernel(reduceBornForceKernel, &reduceForceArgs[0], cu.getPaddedNumAtoms());
    return 0.0;
}

void CudaCalcGBSAOBCForceKernel::copyParametersToContext(ContextImpl& context, const GBSAOBCForce& force) {
    // Make sure the new parameters are acceptable.
    
    cu.setAsCurrent();
    int numParticles = force.getNumParticles();
    if (numParticles != cu.getNumAtoms())
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
    
    // Record the per-particle parameters.
    
    CudaArray& posq = cu.getPosq();
    float4* posqf = (float4*) cu.getPinnedBuffer();
    double4* posqd = (double4*) cu.getPinnedBuffer();
    posq.download(cu.getPinnedBuffer());
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    vector<float2> paramsVector(cu.getPaddedNumAtoms(), make_float2(1, 1));
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    const double dielectricOffset = 0.009;
    for (int i = 0; i < numParticles; i++) {
        double charge, radius, scalingFactor;
        force.getParticleParameters(i, charge, radius, scalingFactor);
        radius -= dielectricOffset;
        paramsVector[i] = make_float2((float) radius, (float) (scalingFactor*radius));
        if (cu.getUseDoublePrecision())
            posqd[i].w = charge;
        else
            posqf[i].w = (float) charge;
    }
    posq.upload(cu.getPinnedBuffer());
    params->upload(paramsVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaCustomGBForceInfo : public CudaForceInfo {
public:
    CudaCustomGBForceInfo(const CustomGBForce& force) : force(force) {
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        vector<double> params1;
        vector<double> params2;
        force.getParticleParameters(particle1, params1);
        force.getParticleParameters(particle2, params2);
        for (int i = 0; i < (int) params1.size(); i++)
            if (params1[i] != params2[i])
                return false;
        return true;
    }
    int getNumParticleGroups() {
        return force.getNumExclusions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int particle1, particle2;
        force.getExclusionParticles(index, particle1, particle2);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
    }
    bool areGroupsIdentical(int group1, int group2) {
        return true;
    }
private:
    const CustomGBForce& force;
};

CudaCalcCustomGBForceKernel::~CudaCalcCustomGBForceKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
    if (computedValues != NULL)
        delete computedValues;
    if (energyDerivs != NULL)
        delete energyDerivs;
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    if (energyDerivChain != NULL)
        delete energyDerivChain;
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    if (longEnergyDerivs != NULL)
        delete longEnergyDerivs;
    if (globals != NULL)
        delete globals;
    if (valueBuffers != NULL)
        delete valueBuffers;
    for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
        delete tabulatedFunctions[i];
}

void CudaCalcCustomGBForceKernel::initialize(const System& system, const CustomGBForce& force) {
    cu.setAsCurrent();
    if (cu.getPlatformData().contexts.size() > 1)
        throw OpenMMException("CustomGBForce does not support using multiple CUDA devices");
    bool useExclusionsForValue = false;
    numComputedValues = force.getNumComputedValues();
    vector<string> computedValueNames(force.getNumComputedValues());
    vector<string> computedValueExpressions(force.getNumComputedValues());
    if (force.getNumComputedValues() > 0) {
        CustomGBForce::ComputationType type;
        force.getComputedValueParameters(0, computedValueNames[0], computedValueExpressions[0], type);
        if (type == CustomGBForce::SingleParticle)
            throw OpenMMException("CudaPlatform requires that the first computed value for a CustomGBForce be of type ParticlePair or ParticlePairNoExclusions.");
        useExclusionsForValue = (type == CustomGBForce::ParticlePair);
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            force.getComputedValueParameters(i, computedValueNames[i], computedValueExpressions[i], type);
            if (type != CustomGBForce::SingleParticle)
                throw OpenMMException("CudaPlatform requires that a CustomGBForce only have one computed value of type ParticlePair or ParticlePairNoExclusions.");
        }
    }
    int forceIndex;
    for (forceIndex = 0; forceIndex < system.getNumForces() && &system.getForce(forceIndex) != &force; ++forceIndex)
        ;
    string prefix = "custom"+cu.intToString(forceIndex)+"_";

    // Record parameters and exclusions.

    int numParticles = force.getNumParticles();
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    int paddedNumParticles = cu.getPaddedNumAtoms();
    int numParams = force.getNumPerParticleParameters();
    params = new CudaParameterSet(cu, force.getNumPerParticleParameters(), paddedNumParticles, "customGBParameters", true);
    computedValues = new CudaParameterSet(cu, force.getNumComputedValues(), paddedNumParticles, "customGBComputedValues", true, cu.getUseDoublePrecision());
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    if (force.getNumGlobalParameters() > 0)
        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customGBGlobals");
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    vector<vector<float> > paramVector(paddedNumParticles, vector<float>(numParams, 0));
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    vector<vector<int> > exclusionList(numParticles);
    for (int i = 0; i < numParticles; i++) {
        vector<double> parameters;
        force.getParticleParameters(i, parameters);
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
        exclusionList[i].push_back(i);
    }
    for (int i = 0; i < force.getNumExclusions(); i++) {
        int particle1, particle2;
        force.getExclusionParticles(i, particle1, particle2);
        exclusionList[particle1].push_back(particle2);
        exclusionList[particle2].push_back(particle1);
    }
    params->setParameterValues(paramVector);

    // Record the tabulated functions.

    map<string, Lepton::CustomFunction*> functions;
    vector<pair<string, string> > functionDefinitions;
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    vector<const TabulatedFunction*> functionList;
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    stringstream tableArgs;
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    for (int i = 0; i < force.getNumTabulatedFunctions(); i++) {
        functionList.push_back(&force.getTabulatedFunction(i));
        string name = force.getTabulatedFunctionName(i);
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        string arrayName = prefix+"table"+cu.intToString(i);
        functionDefinitions.push_back(make_pair(name, arrayName));
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        functions[name] = cu.getExpressionUtilities().getFunctionPlaceholder(force.getTabulatedFunction(i));
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        int width;
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        vector<float> f = cu.getExpressionUtilities().computeFunctionCoefficients(force.getTabulatedFunction(i), width);
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        tabulatedFunctions.push_back(CudaArray::create<float>(cu, f.size(), "TabulatedFunction"));
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        tabulatedFunctions[tabulatedFunctions.size()-1]->upload(f);
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        cu.getNonbondedUtilities().addArgument(CudaNonbondedUtilities::ParameterInfo(arrayName, "float", width, width*sizeof(float), tabulatedFunctions[tabulatedFunctions.size()-1]->getDevicePointer()));
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        tableArgs << ", const float";
        if (width > 1)
            tableArgs << width;
        tableArgs << "* __restrict__ " << arrayName;
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    }

    // Record the global parameters.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    if (globals != NULL)
        globals->upload(globalParamValues);

    // Record derivatives of expressions needed for the chain rule terms.

    vector<vector<Lepton::ParsedExpression> > valueGradientExpressions(force.getNumComputedValues());
    vector<vector<Lepton::ParsedExpression> > valueDerivExpressions(force.getNumComputedValues());
    needParameterGradient = false;
    for (int i = 1; i < force.getNumComputedValues(); i++) {
        Lepton::ParsedExpression ex = Lepton::Parser::parse(computedValueExpressions[i], functions).optimize();
        valueGradientExpressions[i].push_back(ex.differentiate("x").optimize());
        valueGradientExpressions[i].push_back(ex.differentiate("y").optimize());
        valueGradientExpressions[i].push_back(ex.differentiate("z").optimize());
        if (!isZeroExpression(valueGradientExpressions[i][0]) || !isZeroExpression(valueGradientExpressions[i][1]) || !isZeroExpression(valueGradientExpressions[i][2]))
            needParameterGradient = true;
         for (int j = 0; j < i; j++)
            valueDerivExpressions[i].push_back(ex.differentiate(computedValueNames[j]).optimize());
    }
    vector<vector<Lepton::ParsedExpression> > energyDerivExpressions(force.getNumEnergyTerms());
    vector<bool> needChainForValue(force.getNumComputedValues(), false);
    for (int i = 0; i < force.getNumEnergyTerms(); i++) {
        string expression;
        CustomGBForce::ComputationType type;
        force.getEnergyTermParameters(i, expression, type);
        Lepton::ParsedExpression ex = Lepton::Parser::parse(expression, functions).optimize();
        for (int j = 0; j < force.getNumComputedValues(); j++) {
            if (type == CustomGBForce::SingleParticle) {
                energyDerivExpressions[i].push_back(ex.differentiate(computedValueNames[j]).optimize());
                if (!isZeroExpression(energyDerivExpressions[i].back()))
                    needChainForValue[j] = true;
            }
            else {
                energyDerivExpressions[i].push_back(ex.differentiate(computedValueNames[j]+"1").optimize());
                if (!isZeroExpression(energyDerivExpressions[i].back()))
                    needChainForValue[j] = true;
                energyDerivExpressions[i].push_back(ex.differentiate(computedValueNames[j]+"2").optimize());
                if (!isZeroExpression(energyDerivExpressions[i].back()))
                    needChainForValue[j] = true;
            }
        }
    }
    longEnergyDerivs = CudaArray::create<long long>(cu, force.getNumComputedValues()*cu.getPaddedNumAtoms(), "customGBLongEnergyDerivatives");
    energyDerivs = new CudaParameterSet(cu, force.getNumComputedValues(), cu.getPaddedNumAtoms(), "customGBEnergyDerivatives", true);
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    energyDerivChain = new CudaParameterSet(cu, force.getNumComputedValues(), cu.getPaddedNumAtoms(), "customGBEnergyDerivativeChain", true);
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    // Create the kernels.

    bool useCutoff = (force.getNonbondedMethod() != CustomGBForce::NoCutoff);
    bool usePeriodic = (force.getNonbondedMethod() != CustomGBForce::NoCutoff && force.getNonbondedMethod() != CustomGBForce::CutoffNonPeriodic);
    {
        // Create the N2 value kernel.

        vector<pair<ExpressionTreeNode, string> > variables;
        map<string, string> rename;
        ExpressionTreeNode rnode(new Operation::Variable("r"));
        variables.push_back(make_pair(rnode, "r"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Square(), rnode), "r2"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Reciprocal(), rnode), "invR"));
        for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
            const string& name = force.getPerParticleParameterName(i);
            variables.push_back(makeVariable(name+"1", "params"+params->getParameterSuffix(i, "1")));
            variables.push_back(makeVariable(name+"2", "params"+params->getParameterSuffix(i, "2")));
            rename[name+"1"] = name+"2";
            rename[name+"2"] = name+"1";
        }
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = "globals["+cu.intToString(i)+"]";
            variables.push_back(makeVariable(name, value));
        }
        map<string, Lepton::ParsedExpression> n2ValueExpressions;
        stringstream n2ValueSource;
        Lepton::ParsedExpression ex = Lepton::Parser::parse(computedValueExpressions[0], functions).optimize();
        n2ValueExpressions["tempValue1 = "] = ex;
        n2ValueExpressions["tempValue2 = "] = ex.renameVariables(rename);
2920
        n2ValueSource << cu.getExpressionUtilities().createExpressions(n2ValueExpressions, variables, functionList, functionDefinitions, "temp");
2921
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        map<string, string> replacements;
        string n2ValueStr = n2ValueSource.str();
        replacements["COMPUTE_VALUE"] = n2ValueStr;
        stringstream extraArgs, atomParams, loadLocal1, loadLocal2, load1, load2;
        if (force.getNumGlobalParameters() > 0)
            extraArgs << ", const float* globals";
        pairValueUsesParam.resize(params->getBuffers().size(), false);
        int atomParamSize = 6;
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = "params"+cu.intToString(i+1);
            if (n2ValueStr.find(paramName+"1") != n2ValueStr.npos || n2ValueStr.find(paramName+"2") != n2ValueStr.npos) {
                extraArgs << ", const " << buffer.getType() << "* __restrict__ global_" << paramName;
                atomParams << buffer.getType() << " " << paramName << ";\n";
                loadLocal1 << "localData[localAtomIndex]." << paramName << " = " << paramName << "1;\n";
                loadLocal2 << "localData[localAtomIndex]." << paramName << " = global_" << paramName << "[j];\n";
                load1 << buffer.getType() << " " << paramName << "1 = global_" << paramName << "[atom1];\n";
                load2 << buffer.getType() << " " << paramName << "2 = localData[atom2]." << paramName << ";\n";
                pairValueUsesParam[i] = true;
                atomParamSize += buffer.getNumComponents();
            }
        }
        replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
        replacements["ATOM_PARAMETER_DATA"] = atomParams.str();
        replacements["LOAD_LOCAL_PARAMETERS_FROM_1"] = loadLocal1.str();
        replacements["LOAD_LOCAL_PARAMETERS_FROM_GLOBAL"] = loadLocal2.str();
        replacements["LOAD_ATOM1_PARAMETERS"] = load1.str();
        replacements["LOAD_ATOM2_PARAMETERS"] = load2.str();
        if (useCutoff)
2950
            pairValueDefines["USE_CUTOFF"] = "1";
2951
        if (usePeriodic)
2952
            pairValueDefines["USE_PERIODIC"] = "1";
2953
        if (useExclusionsForValue)
2954
            pairValueDefines["USE_EXCLUSIONS"] = "1";
2955
        if (atomParamSize%2 == 0 && !cu.getUseDoublePrecision())
2956
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2960
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2964
            pairValueDefines["NEED_PADDING"] = "1";
        pairValueDefines["WARPS_PER_GROUP"] = cu.intToString(cu.getNonbondedUtilities().getForceThreadBlockSize()/CudaContext::TileSize);
        pairValueDefines["THREAD_BLOCK_SIZE"] = cu.intToString(cu.getNonbondedUtilities().getForceThreadBlockSize());
        pairValueDefines["CUTOFF_SQUARED"] = cu.doubleToString(force.getCutoffDistance()*force.getCutoffDistance());
        pairValueDefines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        pairValueDefines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        pairValueDefines["NUM_BLOCKS"] = cu.intToString(cu.getNumAtomBlocks());
        pairValueDefines["TILE_SIZE"] = cu.intToString(CudaContext::TileSize);
        pairValueSrc = cu.replaceStrings(CudaKernelSources::customGBValueN2, replacements);
2965
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2997
        if (useExclusionsForValue)
            cu.getNonbondedUtilities().requestExclusions(exclusionList);
    }
    {
        // Create the kernel to reduce the N2 value and calculate other values.

        stringstream reductionSource, extraArgs;
        if (force.getNumGlobalParameters() > 0)
            extraArgs << ", const float* globals";
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = "params"+cu.intToString(i+1);
            extraArgs << ", const " << buffer.getType() << "* __restrict__ " << paramName;
        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = computedValues->getBuffers()[i];
            string valueName = "values"+cu.intToString(i+1);
            extraArgs << ", " << buffer.getType() << "* __restrict__ global_" << valueName;
            reductionSource << buffer.getType() << " local_" << valueName << ";\n";
        }
        reductionSource << "local_values" << computedValues->getParameterSuffix(0) << " = sum;\n";
        map<string, string> variables;
        variables["x"] = "pos.x";
        variables["y"] = "pos.y";
        variables["z"] = "pos.z";
        for (int i = 0; i < force.getNumPerParticleParameters(); i++)
            variables[force.getPerParticleParameterName(i)] = "params"+params->getParameterSuffix(i, "[index]");
        for (int i = 0; i < force.getNumGlobalParameters(); i++)
            variables[force.getGlobalParameterName(i)] = "globals["+cu.intToString(i)+"]";
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            variables[computedValueNames[i-1]] = "local_values"+computedValues->getParameterSuffix(i-1);
            map<string, Lepton::ParsedExpression> valueExpressions;
            valueExpressions["local_values"+computedValues->getParameterSuffix(i)+" = "] = Lepton::Parser::parse(computedValueExpressions[i], functions).optimize();
2998
            reductionSource << cu.getExpressionUtilities().createExpressions(valueExpressions, variables, functionList, functionDefinitions, "value"+cu.intToString(i)+"_temp");
2999
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        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            string valueName = "values"+cu.intToString(i+1);
            reductionSource << "global_" << valueName << "[index] = local_" << valueName << ";\n";
        }
        map<string, string> replacements;
        replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
        replacements["COMPUTE_VALUES"] = reductionSource.str();
        map<string, string> defines;
        defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::customGBValuePerParticle, replacements), defines);
        perParticleValueKernel = cu.getKernel(module, "computePerParticleValues");
    }
    {
        // Create the N2 energy kernel.

        vector<pair<ExpressionTreeNode, string> > variables;
        ExpressionTreeNode rnode(new Operation::Variable("r"));
        variables.push_back(make_pair(rnode, "r"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Square(), rnode), "r2"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Reciprocal(), rnode), "invR"));
        for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
            const string& name = force.getPerParticleParameterName(i);
            variables.push_back(makeVariable(name+"1", "params"+params->getParameterSuffix(i, "1")));
            variables.push_back(makeVariable(name+"2", "params"+params->getParameterSuffix(i, "2")));
        }
        for (int i = 0; i < force.getNumComputedValues(); i++) {
            variables.push_back(makeVariable(computedValueNames[i]+"1", "values"+computedValues->getParameterSuffix(i, "1")));
            variables.push_back(makeVariable(computedValueNames[i]+"2", "values"+computedValues->getParameterSuffix(i, "2")));
        }
        for (int i = 0; i < force.getNumGlobalParameters(); i++)
            variables.push_back(makeVariable(force.getGlobalParameterName(i), "globals["+cu.intToString(i)+"]"));
        stringstream n2EnergySource;
        bool anyExclusions = (force.getNumExclusions() > 0);
        for (int i = 0; i < force.getNumEnergyTerms(); i++) {
            string expression;
            CustomGBForce::ComputationType type;
            force.getEnergyTermParameters(i, expression, type);
            if (type == CustomGBForce::SingleParticle)
                continue;
            bool exclude = (anyExclusions && type == CustomGBForce::ParticlePair);
            map<string, Lepton::ParsedExpression> n2EnergyExpressions;
            n2EnergyExpressions["tempEnergy += "] = Lepton::Parser::parse(expression, functions).optimize();
            n2EnergyExpressions["dEdR += "] = Lepton::Parser::parse(expression, functions).differentiate("r").optimize();
            for (int j = 0; j < force.getNumComputedValues(); j++) {
                if (needChainForValue[j]) {
                    string index = cu.intToString(j+1);
                    n2EnergyExpressions["/*"+cu.intToString(i+1)+"*/ deriv"+index+"_1 += "] = energyDerivExpressions[i][2*j];
                    n2EnergyExpressions["/*"+cu.intToString(i+1)+"*/ deriv"+index+"_2 += "] = energyDerivExpressions[i][2*j+1];
                }
            }
            if (exclude)
                n2EnergySource << "if (!isExcluded) {\n";
3052
            n2EnergySource << cu.getExpressionUtilities().createExpressions(n2EnergyExpressions, variables, functionList, functionDefinitions, "temp");
3053
3054
3055
3056
3057
3058
            if (exclude)
                n2EnergySource << "}\n";
        }
        map<string, string> replacements;
        string n2EnergyStr = n2EnergySource.str();
        replacements["COMPUTE_INTERACTION"] = n2EnergyStr;
3059
        stringstream extraArgs, atomParams, loadLocal1, loadLocal2, clearLocal, load1, load2, declare1, recordDeriv, storeDerivs1, storeDerivs2;
3060
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3095
        if (force.getNumGlobalParameters() > 0)
            extraArgs << ", const float* globals";
        pairEnergyUsesParam.resize(params->getBuffers().size(), false);
        int atomParamSize = 7;
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = "params"+cu.intToString(i+1);
            if (n2EnergyStr.find(paramName+"1") != n2EnergyStr.npos || n2EnergyStr.find(paramName+"2") != n2EnergyStr.npos) {
                extraArgs << ", const " << buffer.getType() << "* __restrict__ global_" << paramName;
                atomParams << buffer.getType() << " " << paramName << ";\n";
                loadLocal1 << "localData[localAtomIndex]." << paramName << " = " << paramName << "1;\n";
                loadLocal2 << "localData[localAtomIndex]." << paramName << " = global_" << paramName << "[j];\n";
                load1 << buffer.getType() << " " << paramName << "1 = global_" << paramName << "[atom1];\n";
                load2 << buffer.getType() << " " << paramName << "2 = localData[atom2]." << paramName << ";\n";
                pairEnergyUsesParam[i] = true;
                atomParamSize += buffer.getNumComponents();
            }
        }
        pairEnergyUsesValue.resize(computedValues->getBuffers().size(), false);
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = computedValues->getBuffers()[i];
            string valueName = "values"+cu.intToString(i+1);
            if (n2EnergyStr.find(valueName+"1") != n2EnergyStr.npos || n2EnergyStr.find(valueName+"2") != n2EnergyStr.npos) {
                extraArgs << ", const " << buffer.getType() << "* __restrict__ global_" << valueName;
                atomParams << buffer.getType() << " " << valueName << ";\n";
                loadLocal1 << "localData[localAtomIndex]." << valueName << " = " << valueName << "1;\n";
                loadLocal2 << "localData[localAtomIndex]." << valueName << " = global_" << valueName << "[j];\n";
                load1 << buffer.getType() << " " << valueName << "1 = global_" << valueName << "[atom1];\n";
                load2 << buffer.getType() << " " << valueName << "2 = localData[atom2]." << valueName << ";\n";
                pairEnergyUsesValue[i] = true;
                atomParamSize += buffer.getNumComponents();
            }
        }
        extraArgs << ", unsigned long long* __restrict__ derivBuffers";
        for (int i = 0; i < force.getNumComputedValues(); i++) {
            string index = cu.intToString(i+1);
3096
            atomParams << "real deriv" << index << ";\n";
3097
            clearLocal << "localData[localAtomIndex].deriv" << index << " = 0;\n";
3098
            declare1 << "real deriv" << index << "_1 = 0;\n";
3099
3100
3101
3102
3103
3104
3105
3106
3107
3108
3109
3110
3111
3112
3113
3114
3115
3116
            load2 << "real deriv" << index << "_2 = 0;\n";
            recordDeriv << "localData[atom2].deriv" << index << " += deriv" << index << "_2;\n";
            storeDerivs1 << "STORE_DERIVATIVE_1(" << index << ")\n";
            storeDerivs2 << "STORE_DERIVATIVE_2(" << index << ")\n";
            atomParamSize++;
        }
        replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
        replacements["ATOM_PARAMETER_DATA"] = atomParams.str();
        replacements["LOAD_LOCAL_PARAMETERS_FROM_1"] = loadLocal1.str();
        replacements["LOAD_LOCAL_PARAMETERS_FROM_GLOBAL"] = loadLocal2.str();
        replacements["CLEAR_LOCAL_DERIVATIVES"] = clearLocal.str();
        replacements["LOAD_ATOM1_PARAMETERS"] = load1.str();
        replacements["LOAD_ATOM2_PARAMETERS"] = load2.str();
        replacements["DECLARE_ATOM1_DERIVATIVES"] = declare1.str();
        replacements["RECORD_DERIVATIVE_2"] = recordDeriv.str();
        replacements["STORE_DERIVATIVES_1"] = storeDerivs1.str();
        replacements["STORE_DERIVATIVES_2"] = storeDerivs2.str();
        if (useCutoff)
3117
            pairEnergyDefines["USE_CUTOFF"] = "1";
3118
        if (usePeriodic)
3119
            pairEnergyDefines["USE_PERIODIC"] = "1";
3120
        if (anyExclusions)
3121
            pairEnergyDefines["USE_EXCLUSIONS"] = "1";
3122
        if (atomParamSize%2 != 0 && !cu.getUseDoublePrecision())
3123
3124
3125
3126
3127
3128
3129
3130
3131
            pairEnergyDefines["NEED_PADDING"] = "1";
        pairEnergyDefines["THREAD_BLOCK_SIZE"] = cu.intToString(cu.getNonbondedUtilities().getForceThreadBlockSize());
        pairEnergyDefines["WARPS_PER_GROUP"] = cu.intToString(cu.getNonbondedUtilities().getForceThreadBlockSize()/CudaContext::TileSize);
        pairEnergyDefines["CUTOFF_SQUARED"] = cu.doubleToString(force.getCutoffDistance()*force.getCutoffDistance());
        pairEnergyDefines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        pairEnergyDefines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        pairEnergyDefines["NUM_BLOCKS"] = cu.intToString(cu.getNumAtomBlocks());
        pairEnergyDefines["TILE_SIZE"] = cu.intToString(CudaContext::TileSize);
        pairEnergySrc = cu.replaceStrings(CudaKernelSources::customGBEnergyN2, replacements);
3132
3133
3134
3135
3136
3137
3138
3139
3140
3141
3142
3143
3144
3145
3146
3147
3148
3149
3150
3151
3152
3153
3154
    }
    {
        // Create the kernel to reduce the derivatives and calculate per-particle energy terms.

        stringstream compute, extraArgs, load;
        if (force.getNumGlobalParameters() > 0)
            extraArgs << ", const float* globals";
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = "params"+cu.intToString(i+1);
            extraArgs << ", const " << buffer.getType() << "* __restrict__ " << paramName;
        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = computedValues->getBuffers()[i];
            string valueName = "values"+cu.intToString(i+1);
            extraArgs << ", const " << buffer.getType() << "* __restrict__ " << valueName;
        }
        for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = energyDerivs->getBuffers()[i];
            string index = cu.intToString(i+1);
            extraArgs << ", " << buffer.getType() << "* __restrict__ derivBuffers" << index;
            compute << buffer.getType() << " deriv" << index << " = derivBuffers" << index << "[index];\n";
        }
3155
3156
3157
3158
3159
        for (int i = 0; i < (int) energyDerivChain->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = energyDerivChain->getBuffers()[i];
            string index = cu.intToString(i+1);
            extraArgs << ", " << buffer.getType() << "* __restrict__ derivChain" << index;
        }
3160
3161
3162
        extraArgs << ", const long long* __restrict__ derivBuffersIn";
        for (int i = 0; i < energyDerivs->getNumParameters(); ++i)
            load << "derivBuffers" << energyDerivs->getParameterSuffix(i, "[index]") <<
3163
                    " = RECIP(0x100000000)*derivBuffersIn[index+PADDED_NUM_ATOMS*" << cu.intToString(i) << "];\n";
3164
3165
3166
3167
3168
3169
3170
3171
3172
3173
3174
3175
3176
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3199
3200
        
        // Compute the various expressions.
        
        map<string, string> variables;
        variables["x"] = "pos.x";
        variables["y"] = "pos.y";
        variables["z"] = "pos.z";
        for (int i = 0; i < force.getNumPerParticleParameters(); i++)
            variables[force.getPerParticleParameterName(i)] = "params"+params->getParameterSuffix(i, "[index]");
        for (int i = 0; i < force.getNumGlobalParameters(); i++)
            variables[force.getGlobalParameterName(i)] = "globals["+cu.intToString(i)+"]";
        for (int i = 0; i < force.getNumComputedValues(); i++)
            variables[computedValueNames[i]] = "values"+computedValues->getParameterSuffix(i, "[index]");
        map<string, Lepton::ParsedExpression> expressions;
        for (int i = 0; i < force.getNumEnergyTerms(); i++) {
            string expression;
            CustomGBForce::ComputationType type;
            force.getEnergyTermParameters(i, expression, type);
            if (type != CustomGBForce::SingleParticle)
                continue;
            Lepton::ParsedExpression parsed = Lepton::Parser::parse(expression, functions).optimize();
            expressions["/*"+cu.intToString(i+1)+"*/ energy += "] = parsed;
            for (int j = 0; j < force.getNumComputedValues(); j++)
                expressions["/*"+cu.intToString(i+1)+"*/ deriv"+energyDerivs->getParameterSuffix(j)+" += "] = energyDerivExpressions[i][j];
            Lepton::ParsedExpression gradx = parsed.differentiate("x").optimize();
            Lepton::ParsedExpression grady = parsed.differentiate("y").optimize();
            Lepton::ParsedExpression gradz = parsed.differentiate("z").optimize();
            if (!isZeroExpression(gradx))
                expressions["/*"+cu.intToString(i+1)+"*/ force.x -= "] = gradx;
            if (!isZeroExpression(grady))
                expressions["/*"+cu.intToString(i+1)+"*/ force.y -= "] = grady;
            if (!isZeroExpression(gradz))
                expressions["/*"+cu.intToString(i+1)+"*/ force.z -= "] = gradz;
        }
        for (int i = 1; i < force.getNumComputedValues(); i++)
            for (int j = 0; j < i; j++)
                expressions["real dV"+cu.intToString(i)+"dV"+cu.intToString(j)+" = "] = valueDerivExpressions[i][j];
3201
        compute << cu.getExpressionUtilities().createExpressions(expressions, variables, functionList, functionDefinitions, "temp");
3202
3203
3204
        
        // Record values.
        
3205
3206
3207
3208
        for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++) {
            string index = cu.intToString(i+1);
            compute << "derivBuffers" << index << "[index] = deriv" << index << ";\n";
        }
3209
3210
3211
        compute << "forceBuffers[index] += (long long) (force.x*0x100000000);\n";
        compute << "forceBuffers[index+PADDED_NUM_ATOMS] += (long long) (force.y*0x100000000);\n";
        compute << "forceBuffers[index+PADDED_NUM_ATOMS*2] += (long long) (force.z*0x100000000);\n";
3212
3213
3214
3215
3216
3217
3218
3219
3220
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            compute << "real totalDeriv"<<i<<" = dV"<<i<<"dV0";
            for (int j = 1; j < i; j++)
                compute << " + totalDeriv"<<j<<"*dV"<<i<<"dV"<<j;
            compute << ";\n";
            compute << "deriv"<<(i+1)<<" *= totalDeriv"<<i<<";\n";
        }
        for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++) {
            string index = cu.intToString(i+1);
3221
            compute << "derivChain" << index << "[index] = deriv" << index << ";\n";
3222
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3226
3227
3228
3229
3230
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3233
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3250
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3252
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3259
3260
3261
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3265
3266
3267
3268
3269
3270
3271
3272
        }
        map<string, string> replacements;
        replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
        replacements["LOAD_DERIVATIVES"] = load.str();
        replacements["COMPUTE_ENERGY"] = compute.str();
        map<string, string> defines;
        defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::customGBEnergyPerParticle, replacements), defines);
        perParticleEnergyKernel = cu.getKernel(module, "computePerParticleEnergy");
    }
    if (needParameterGradient) {
        // Create the kernel to compute chain rule terms for computed values that depend explicitly on particle coordinates.

        stringstream compute, extraArgs;
        if (force.getNumGlobalParameters() > 0)
            extraArgs << ", const float* globals";
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = "params"+cu.intToString(i+1);
            extraArgs << ", const " << buffer.getType() << "* __restrict__ " << paramName;
        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = computedValues->getBuffers()[i];
            string valueName = "values"+cu.intToString(i+1);
            extraArgs << ", const " << buffer.getType() << "* __restrict__ " << valueName;
        }
        for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = energyDerivs->getBuffers()[i];
            string index = cu.intToString(i+1);
            extraArgs << ", " << buffer.getType() << "* __restrict__ derivBuffers" << index;
            compute << buffer.getType() << " deriv" << index << " = derivBuffers" << index << "[index];\n";
        }
        map<string, string> variables;
        variables["x"] = "pos.x";
        variables["y"] = "pos.y";
        variables["z"] = "pos.z";
        for (int i = 0; i < force.getNumPerParticleParameters(); i++)
            variables[force.getPerParticleParameterName(i)] = "params"+params->getParameterSuffix(i, "[index]");
        for (int i = 0; i < force.getNumGlobalParameters(); i++)
            variables[force.getGlobalParameterName(i)] = "globals["+cu.intToString(i)+"]";
        for (int i = 0; i < force.getNumComputedValues(); i++)
            variables[computedValueNames[i]] = "values"+computedValues->getParameterSuffix(i, "[index]");
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            string is = cu.intToString(i);
            compute << "real3 dV"<<is<<"dR = make_real3(0);\n";
            for (int j = 1; j < i; j++) {
                if (!isZeroExpression(valueDerivExpressions[i][j])) {
                    map<string, Lepton::ParsedExpression> derivExpressions;
                    string js = cu.intToString(j);
                    derivExpressions["real dV"+is+"dV"+js+" = "] = valueDerivExpressions[i][j];
3273
                    compute << cu.getExpressionUtilities().createExpressions(derivExpressions, variables, functionList, functionDefinitions, "temp_"+is+"_"+js);
3274
3275
3276
3277
3278
3279
3280
3281
3282
3283
                    compute << "dV"<<is<<"dR += dV"<<is<<"dV"<<js<<"*dV"<<js<<"dR;\n";
                }
            }
            map<string, Lepton::ParsedExpression> gradientExpressions;
            if (!isZeroExpression(valueGradientExpressions[i][0]))
                gradientExpressions["dV"+is+"dR.x += "] = valueGradientExpressions[i][0];
            if (!isZeroExpression(valueGradientExpressions[i][1]))
                gradientExpressions["dV"+is+"dR.y += "] = valueGradientExpressions[i][1];
            if (!isZeroExpression(valueGradientExpressions[i][2]))
                gradientExpressions["dV"+is+"dR.z += "] = valueGradientExpressions[i][2];
3284
            compute << cu.getExpressionUtilities().createExpressions(gradientExpressions, variables, functionList, functionDefinitions, "temp");
3285
3286
3287
3288
3289
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3291
3292
3293
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3296
3297
3298
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3300
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3305
3306
3307
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3310
3311
3312
3313
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3316
3317
3318
3319
3320
3321
3322
3323
3324
3325
        }
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            string is = cu.intToString(i);
            compute << "force -= deriv"<<energyDerivs->getParameterSuffix(i)<<"*dV"<<is<<"dR;\n";
        }
        map<string, string> replacements;
        replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
        replacements["COMPUTE_FORCES"] = compute.str();
        map<string, string> defines;
        defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        CUmodule module = cu.createModule(CudaKernelSources::vectorOps+cu.replaceStrings(CudaKernelSources::customGBGradientChainRule, replacements), defines);
        gradientChainRuleKernel = cu.getKernel(module, "computeGradientChainRuleTerms");
    }
    {
        // Create the code to calculate chain rules terms as part of the default nonbonded kernel.

        vector<pair<ExpressionTreeNode, string> > globalVariables;
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = "globals["+cu.intToString(i)+"]";
            globalVariables.push_back(makeVariable(name, prefix+value));
        }
        vector<pair<ExpressionTreeNode, string> > variables = globalVariables;
        map<string, string> rename;
        ExpressionTreeNode rnode(new Operation::Variable("r"));
        variables.push_back(make_pair(rnode, "r"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Square(), rnode), "r2"));
        variables.push_back(make_pair(ExpressionTreeNode(new Operation::Reciprocal(), rnode), "invR"));
        for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
            const string& name = force.getPerParticleParameterName(i);
            variables.push_back(makeVariable(name+"1", prefix+"params"+params->getParameterSuffix(i, "1")));
            variables.push_back(makeVariable(name+"2", prefix+"params"+params->getParameterSuffix(i, "2")));
            rename[name+"1"] = name+"2";
            rename[name+"2"] = name+"1";
        }
        map<string, Lepton::ParsedExpression> derivExpressions;
        stringstream chainSource;
        Lepton::ParsedExpression dVdR = Lepton::Parser::parse(computedValueExpressions[0], functions).differentiate("r").optimize();
        derivExpressions["real dV0dR1 = "] = dVdR;
        derivExpressions["real dV0dR2 = "] = dVdR.renameVariables(rename);
3326
        chainSource << cu.getExpressionUtilities().createExpressions(derivExpressions, variables, functionList, functionDefinitions, prefix+"temp0_");
3327
3328
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3338
3339
3340
3341
3342
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3346
3347
3348
3349
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3352
3353
3354
3355
3356
3357
3358
        if (needChainForValue[0]) {
            if (useExclusionsForValue)
                chainSource << "if (!isExcluded) {\n";
            chainSource << "tempForce -= dV0dR1*" << prefix << "dEdV" << energyDerivs->getParameterSuffix(0, "1") << ";\n";
            chainSource << "tempForce -= dV0dR2*" << prefix << "dEdV" << energyDerivs->getParameterSuffix(0, "2") << ";\n";
            if (useExclusionsForValue)
                chainSource << "}\n";
        }
        for (int i = 1; i < force.getNumComputedValues(); i++) {
            if (needChainForValue[i]) {
                chainSource << "tempForce -= dV0dR1*" << prefix << "dEdV" << energyDerivs->getParameterSuffix(i, "1") << ";\n";
                chainSource << "tempForce -= dV0dR2*" << prefix << "dEdV" << energyDerivs->getParameterSuffix(i, "2") << ";\n";
            }
        }
        map<string, string> replacements;
        string chainStr = chainSource.str();
        replacements["COMPUTE_FORCE"] = chainStr;
        string source = cu.replaceStrings(CudaKernelSources::customGBChainRule, replacements);
        vector<CudaNonbondedUtilities::ParameterInfo> parameters;
        vector<CudaNonbondedUtilities::ParameterInfo> arguments;
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            string paramName = prefix+"params"+cu.intToString(i+1);
            if (chainStr.find(paramName+"1") != chainStr.npos || chainStr.find(paramName+"2") != chainStr.npos)
                parameters.push_back(CudaNonbondedUtilities::ParameterInfo(paramName, buffer.getComponentType(), buffer.getNumComponents(), buffer.getSize(), buffer.getMemory()));
        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = computedValues->getBuffers()[i];
            string paramName = prefix+"values"+cu.intToString(i+1);
            if (chainStr.find(paramName+"1") != chainStr.npos || chainStr.find(paramName+"2") != chainStr.npos)
                parameters.push_back(CudaNonbondedUtilities::ParameterInfo(paramName, buffer.getComponentType(), buffer.getNumComponents(), buffer.getSize(), buffer.getMemory()));
        }
3359
        for (int i = 0; i < (int) energyDerivChain->getBuffers().size(); i++) {
3360
            if (needChainForValue[i]) { 
3361
                CudaNonbondedUtilities::ParameterInfo& buffer = energyDerivChain->getBuffers()[i];
3362
3363
3364
3365
3366
3367
3368
3369
3370
3371
3372
3373
3374
3375
3376
                string paramName = prefix+"dEdV"+cu.intToString(i+1);
                parameters.push_back(CudaNonbondedUtilities::ParameterInfo(paramName, buffer.getComponentType(), buffer.getNumComponents(), buffer.getSize(), buffer.getMemory()));
            }
        }
        if (globals != NULL) {
            globals->upload(globalParamValues);
            arguments.push_back(CudaNonbondedUtilities::ParameterInfo(prefix+"globals", "float", 1, sizeof(float), globals->getDevicePointer()));
        }
        cu.getNonbondedUtilities().addInteraction(useCutoff, usePeriodic, force.getNumExclusions() > 0, force.getCutoffDistance(), exclusionList, source, force.getForceGroup());
        for (int i = 0; i < (int) parameters.size(); i++)
            cu.getNonbondedUtilities().addParameter(parameters[i]);
        for (int i = 0; i < (int) arguments.size(); i++)
            cu.getNonbondedUtilities().addArgument(arguments[i]);
    }
    cu.addForce(new CudaCustomGBForceInfo(force));
3377
    cu.addAutoclearBuffer(*longEnergyDerivs);
3378
3379
3380
3381
3382
3383
}

double CudaCalcCustomGBForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    CudaNonbondedUtilities& nb = cu.getNonbondedUtilities();
    if (!hasInitializedKernels) {
        hasInitializedKernels = true;
3384
3385
3386
3387
3388
3389
3390
3391
3392
3393
3394
3395
        
        // These two kernels can't be compiled in initialize(), because the nonbonded utilities object
        // has not yet been initialized then.

        {
            int numExclusionTiles = cu.getNonbondedUtilities().getExclusionTiles().getSize();
            pairValueDefines["NUM_TILES_WITH_EXCLUSIONS"] = cu.intToString(numExclusionTiles);
            int numContexts = cu.getPlatformData().contexts.size();
            int startExclusionIndex = cu.getContextIndex()*numExclusionTiles/numContexts;
            int endExclusionIndex = (cu.getContextIndex()+1)*numExclusionTiles/numContexts;
            pairValueDefines["FIRST_EXCLUSION_TILE"] = cu.intToString(startExclusionIndex);
            pairValueDefines["LAST_EXCLUSION_TILE"] = cu.intToString(endExclusionIndex);
3396
            pairValueDefines["CUTOFF"] = cu.doubleToString(nb.getCutoffDistance());
3397
3398
3399
3400
3401
3402
3403
3404
3405
3406
3407
3408
3409
            CUmodule module = cu.createModule(CudaKernelSources::vectorOps+pairValueSrc, pairValueDefines);
            pairValueKernel = cu.getKernel(module, "computeN2Value");
            pairValueSrc = "";
            pairValueDefines.clear();
        }
        {
            int numExclusionTiles = cu.getNonbondedUtilities().getExclusionTiles().getSize();
            pairEnergyDefines["NUM_TILES_WITH_EXCLUSIONS"] = cu.intToString(numExclusionTiles);
            int numContexts = cu.getPlatformData().contexts.size();
            int startExclusionIndex = cu.getContextIndex()*numExclusionTiles/numContexts;
            int endExclusionIndex = (cu.getContextIndex()+1)*numExclusionTiles/numContexts;
            pairEnergyDefines["FIRST_EXCLUSION_TILE"] = cu.intToString(startExclusionIndex);
            pairEnergyDefines["LAST_EXCLUSION_TILE"] = cu.intToString(endExclusionIndex);
3410
            pairEnergyDefines["CUTOFF"] = cu.doubleToString(nb.getCutoffDistance());
3411
3412
3413
3414
3415
3416
3417
3418
            CUmodule module = cu.createModule(CudaKernelSources::vectorOps+pairEnergySrc, pairEnergyDefines);
            pairEnergyKernel = cu.getKernel(module, "computeN2Energy");
            pairEnergySrc = "";
            pairEnergyDefines.clear();
        }

        // Set arguments for kernels.
        
3419
3420
        maxTiles = (nb.getUseCutoff() ? nb.getInteractingTiles().getSize() : cu.getNumAtomBlocks()*(cu.getNumAtomBlocks()+1)/2);
        valueBuffers = CudaArray::create<long long>(cu, cu.getPaddedNumAtoms(), "customGBValueBuffers");
3421
        cu.addAutoclearBuffer(*valueBuffers);
3422
3423
3424
        cu.clearBuffer(valueBuffers->getDevicePointer(), sizeof(long long)*valueBuffers->getSize());
        pairValueArgs.push_back(&cu.getPosq().getDevicePointer());
        pairValueArgs.push_back(&cu.getNonbondedUtilities().getExclusions().getDevicePointer());
3425
        pairValueArgs.push_back(&cu.getNonbondedUtilities().getExclusionTiles().getDevicePointer());
3426
3427
3428
3429
3430
3431
        pairValueArgs.push_back(&valueBuffers->getDevicePointer());
        if (nb.getUseCutoff()) {
            pairValueArgs.push_back(&nb.getInteractingTiles().getDevicePointer());
            pairValueArgs.push_back(&nb.getInteractionCount().getDevicePointer());
            pairValueArgs.push_back(cu.getPeriodicBoxSizePointer());
            pairValueArgs.push_back(cu.getInvPeriodicBoxSizePointer());
3432
3433
3434
            pairValueArgs.push_back(cu.getPeriodicBoxVecXPointer());
            pairValueArgs.push_back(cu.getPeriodicBoxVecYPointer());
            pairValueArgs.push_back(cu.getPeriodicBoxVecZPointer());
3435
            pairValueArgs.push_back(&maxTiles);
3436
            pairValueArgs.push_back(&nb.getBlockCenters().getDevicePointer());
3437
            pairValueArgs.push_back(&nb.getBlockBoundingBoxes().getDevicePointer());
3438
            pairValueArgs.push_back(&nb.getInteractingAtoms().getDevicePointer());
3439
3440
3441
3442
3443
3444
3445
3446
3447
        }
        else
            pairValueArgs.push_back(&maxTiles);
        if (globals != NULL)
            pairValueArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            if (pairValueUsesParam[i])
                pairValueArgs.push_back(&params->getBuffers()[i].getMemory());
        }
3448
3449
        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            pairValueArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
3450
3451
3452
3453
3454
3455
3456
3457
        perParticleValueArgs.push_back(&cu.getPosq().getDevicePointer());
        perParticleValueArgs.push_back(&valueBuffers->getDevicePointer());
        if (globals != NULL)
            perParticleValueArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) params->getBuffers().size(); i++)
            perParticleValueArgs.push_back(&params->getBuffers()[i].getMemory());
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++)
            perParticleValueArgs.push_back(&computedValues->getBuffers()[i].getMemory());
3458
3459
        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            perParticleValueArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
3460
3461
3462
3463
        pairEnergyArgs.push_back(&cu.getForce().getDevicePointer());
        pairEnergyArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
        pairEnergyArgs.push_back(&cu.getPosq().getDevicePointer());
        pairEnergyArgs.push_back(&cu.getNonbondedUtilities().getExclusions().getDevicePointer());
3464
        pairEnergyArgs.push_back(&cu.getNonbondedUtilities().getExclusionTiles().getDevicePointer());
3465
3466
3467
3468
3469
        if (nb.getUseCutoff()) {
            pairEnergyArgs.push_back(&nb.getInteractingTiles().getDevicePointer());
            pairEnergyArgs.push_back(&nb.getInteractionCount().getDevicePointer());
            pairEnergyArgs.push_back(cu.getPeriodicBoxSizePointer());
            pairEnergyArgs.push_back(cu.getInvPeriodicBoxSizePointer());
3470
3471
3472
            pairEnergyArgs.push_back(cu.getPeriodicBoxVecXPointer());
            pairEnergyArgs.push_back(cu.getPeriodicBoxVecYPointer());
            pairEnergyArgs.push_back(cu.getPeriodicBoxVecZPointer());
3473
            pairEnergyArgs.push_back(&maxTiles);
3474
            pairEnergyArgs.push_back(&nb.getBlockCenters().getDevicePointer());
3475
            pairEnergyArgs.push_back(&nb.getBlockBoundingBoxes().getDevicePointer());
3476
            pairEnergyArgs.push_back(&nb.getInteractingAtoms().getDevicePointer());
3477
3478
3479
3480
3481
3482
3483
3484
3485
3486
3487
3488
3489
3490
        }
        else
            pairEnergyArgs.push_back(&maxTiles);
        if (globals != NULL)
            pairEnergyArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            if (pairEnergyUsesParam[i])
                pairEnergyArgs.push_back(&params->getBuffers()[i].getMemory());
        }
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++) {
            if (pairEnergyUsesValue[i])
                pairEnergyArgs.push_back(&computedValues->getBuffers()[i].getMemory());
        }
        pairEnergyArgs.push_back(&longEnergyDerivs->getDevicePointer());
3491
3492
        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            pairEnergyArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
3493
3494
3495
3496
3497
3498
3499
3500
3501
3502
3503
        perParticleEnergyArgs.push_back(&cu.getForce().getDevicePointer());
        perParticleEnergyArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
        perParticleEnergyArgs.push_back(&cu.getPosq().getDevicePointer());
        if (globals != NULL)
            perParticleEnergyArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) params->getBuffers().size(); i++)
            perParticleEnergyArgs.push_back(&params->getBuffers()[i].getMemory());
        for (int i = 0; i < (int) computedValues->getBuffers().size(); i++)
            perParticleEnergyArgs.push_back(&computedValues->getBuffers()[i].getMemory());
        for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++)
            perParticleEnergyArgs.push_back(&energyDerivs->getBuffers()[i].getMemory());
3504
3505
        for (int i = 0; i < (int) energyDerivChain->getBuffers().size(); i++)
            perParticleEnergyArgs.push_back(&energyDerivChain->getBuffers()[i].getMemory());
3506
        perParticleEnergyArgs.push_back(&longEnergyDerivs->getDevicePointer());
3507
3508
        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            perParticleEnergyArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
3509
3510
3511
3512
3513
3514
3515
3516
3517
3518
3519
3520
3521
3522
3523
3524
3525
3526
3527
3528
3529
3530
3531
3532
3533
3534
3535
        if (needParameterGradient) {
            gradientChainRuleArgs.push_back(&cu.getForce().getDevicePointer());
            gradientChainRuleArgs.push_back(&cu.getPosq().getDevicePointer());
            if (globals != NULL)
                gradientChainRuleArgs.push_back(&globals->getDevicePointer());
            for (int i = 0; i < (int) params->getBuffers().size(); i++)
                gradientChainRuleArgs.push_back(&params->getBuffers()[i].getMemory());
            for (int i = 0; i < (int) computedValues->getBuffers().size(); i++)
                gradientChainRuleArgs.push_back(&computedValues->getBuffers()[i].getMemory());
            for (int i = 0; i < (int) energyDerivs->getBuffers().size(); i++)
                gradientChainRuleArgs.push_back(&energyDerivs->getBuffers()[i].getMemory());
        }
    }
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    if (nb.getUseCutoff()) {
        if (maxTiles < nb.getInteractingTiles().getSize()) {
            maxTiles = nb.getInteractingTiles().getSize();
3536
3537
            pairValueArgs[4] = &nb.getInteractingTiles().getDevicePointer();
            pairEnergyArgs[5] = &nb.getInteractingTiles().getDevicePointer();
3538
3539
            pairValueArgs[14] = &nb.getInteractingAtoms().getDevicePointer();
            pairEnergyArgs[15] = &nb.getInteractingAtoms().getDevicePointer();
3540
3541
3542
3543
3544
3545
3546
3547
3548
3549
3550
3551
3552
3553
3554
3555
3556
3557
3558
        }
    }
    cu.executeKernel(pairValueKernel, &pairValueArgs[0], nb.getNumForceThreadBlocks()*nb.getForceThreadBlockSize(), nb.getForceThreadBlockSize());
    cu.executeKernel(perParticleValueKernel, &perParticleValueArgs[0], cu.getPaddedNumAtoms());
    cu.executeKernel(pairEnergyKernel, &pairEnergyArgs[0], nb.getNumForceThreadBlocks()*nb.getForceThreadBlockSize(), nb.getForceThreadBlockSize());
    cu.executeKernel(perParticleEnergyKernel, &perParticleEnergyArgs[0], cu.getPaddedNumAtoms());
    if (needParameterGradient)
        cu.executeKernel(gradientChainRuleKernel, &gradientChainRuleArgs[0], cu.getPaddedNumAtoms());
    return 0.0;
}

void CudaCalcCustomGBForceKernel::copyParametersToContext(ContextImpl& context, const CustomGBForce& force) {
    cu.setAsCurrent();
    int numParticles = force.getNumParticles();
    if (numParticles != cu.getNumAtoms())
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
    
    // Record the per-particle parameters.
    
3559
    vector<vector<float> > paramVector(cu.getPaddedNumAtoms(), vector<float>(force.getNumPerParticleParameters(), 0));
3560
3561
3562
3563
3564
3565
3566
3567
3568
3569
3570
3571
    vector<double> parameters;
    for (int i = 0; i < numParticles; i++) {
        force.getParticleParameters(i, parameters);
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}
3572
3573
3574
3575
3576
3577
3578
3579
3580
3581
3582
3583
3584
3585
3586
3587
3588
3589
3590
3591
3592
3593
3594
3595
3596
3597
3598
3599
3600
3601
3602
3603
3604
3605

class CudaCustomExternalForceInfo : public CudaForceInfo {
public:
    CudaCustomExternalForceInfo(const CustomExternalForce& force, int numParticles) : force(force), indices(numParticles, -1) {
        vector<double> params;
        for (int i = 0; i < force.getNumParticles(); i++) {
            int particle;
            force.getParticleParameters(i, particle, params);
            indices[particle] = i;
        }
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        particle1 = indices[particle1];
        particle2 = indices[particle2];
        if (particle1 == -1 && particle2 == -1)
            return true;
        if (particle1 == -1 || particle2 == -1)
            return false;
        int temp;
        vector<double> params1;
        vector<double> params2;
        force.getParticleParameters(particle1, temp, params1);
        force.getParticleParameters(particle2, temp, params2);
        for (int i = 0; i < (int) params1.size(); i++)
            if (params1[i] != params2[i])
                return false;
        return true;
    }
private:
    const CustomExternalForce& force;
    vector<int> indices;
};

CudaCalcCustomExternalForceKernel::~CudaCalcCustomExternalForceKernel() {
3606
    cu.setAsCurrent();
3607
3608
3609
3610
3611
3612
3613
    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
}

void CudaCalcCustomExternalForceKernel::initialize(const System& system, const CustomExternalForce& force) {
3614
    cu.setAsCurrent();
3615
3616
3617
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumParticles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumParticles()/numContexts;
    numParticles = endIndex-startIndex;
    if (numParticles == 0)
        return;
    vector<vector<int> > atoms(numParticles, vector<int>(1));
    params = new CudaParameterSet(cu, force.getNumPerParticleParameters(), numParticles, "customExternalParams");
    vector<vector<float> > paramVector(numParticles);
    for (int i = 0; i < numParticles; i++) {
        vector<double> parameters;
        force.getParticleParameters(startIndex+i, atoms[i][0], parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomExternalForceInfo(force, system.getNumParticles()));

    // Record information for the expressions.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
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    Lepton::ParsedExpression energyExpression = Lepton::Parser::parse(force.getEnergyFunction()).optimize();
    Lepton::ParsedExpression forceExpressionX = energyExpression.differentiate("x").optimize();
    Lepton::ParsedExpression forceExpressionY = energyExpression.differentiate("y").optimize();
    Lepton::ParsedExpression forceExpressionZ = energyExpression.differentiate("z").optimize();
    map<string, Lepton::ParsedExpression> expressions;
    expressions["energy += "] = energyExpression;
    expressions["float dEdX = "] = forceExpressionX;
    expressions["float dEdY = "] = forceExpressionY;
    expressions["float dEdZ = "] = forceExpressionZ;

    // Create the kernels.

    map<string, string> variables;
    variables["x"] = "pos1.x";
    variables["y"] = "pos1.y";
    variables["z"] = "pos1.z";
    for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
        const string& name = force.getPerParticleParameterName(i);
        variables[name] = "particleParams"+params->getParameterSuffix(i);
    }
    if (force.getNumGlobalParameters() > 0) {
        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customExternalGlobals");
        globals->upload(globalParamValues);
        string argName = cu.getBondedUtilities().addArgument(globals->getDevicePointer(), "float");
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = argName+"["+cu.intToString(i)+"]";
            variables[name] = value;
        }
    }
    stringstream compute;
    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
        string argName = cu.getBondedUtilities().addArgument(buffer.getMemory(), buffer.getType());
        compute<<buffer.getType()<<" particleParams"<<(i+1)<<" = "<<argName<<"[index];\n";
    }
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    vector<const TabulatedFunction*> functions;
    vector<pair<string, string> > functionNames;
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    compute << cu.getExpressionUtilities().createExpressions(expressions, variables, functions, functionNames, "temp");
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    map<string, string> replacements;
    replacements["COMPUTE_FORCE"] = compute.str();
    cu.getBondedUtilities().addInteraction(atoms, cu.replaceStrings(CudaKernelSources::customExternalForce, replacements), force.getForceGroup());
}

double CudaCalcCustomExternalForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    return 0.0;
}

void CudaCalcCustomExternalForceKernel::copyParametersToContext(ContextImpl& context, const CustomExternalForce& force) {
    cu.setAsCurrent();
    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumParticles()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumParticles()/numContexts;
    if (numParticles != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
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    if (numParticles == 0)
        return;
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    // Record the per-particle parameters.
    
    vector<vector<float> > paramVector(numParticles);
    vector<double> parameters;
    for (int i = 0; i < numParticles; i++) {
        int particle;
        force.getParticleParameters(startIndex+i, particle, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

class CudaCustomHbondForceInfo : public CudaForceInfo {
public:
    CudaCustomHbondForceInfo(const CustomHbondForce& force) : force(force) {
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        return true;
    }
    int getNumParticleGroups() {
        return force.getNumDonors()+force.getNumAcceptors()+force.getNumExclusions();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        int p1, p2, p3;
        vector<double> parameters;
        if (index < force.getNumDonors()) {
            force.getDonorParameters(index, p1, p2, p3, parameters);
            particles.clear();
            particles.push_back(p1);
            if (p2 > -1)
                particles.push_back(p2);
            if (p3 > -1)
                particles.push_back(p3);
            return;
        }
        index -= force.getNumDonors();
        if (index < force.getNumAcceptors()) {
            force.getAcceptorParameters(index, p1, p2, p3, parameters);
            particles.clear();
            particles.push_back(p1);
            if (p2 > -1)
                particles.push_back(p2);
            if (p3 > -1)
                particles.push_back(p3);
            return;
        }
        index -= force.getNumAcceptors();
        int donor, acceptor;
        force.getExclusionParticles(index, donor, acceptor);
        particles.clear();
        force.getDonorParameters(donor, p1, p2, p3, parameters);
        particles.push_back(p1);
        if (p2 > -1)
            particles.push_back(p2);
        if (p3 > -1)
            particles.push_back(p3);
        force.getAcceptorParameters(acceptor, p1, p2, p3, parameters);
        particles.push_back(p1);
        if (p2 > -1)
            particles.push_back(p2);
        if (p3 > -1)
            particles.push_back(p3);
    }
    bool areGroupsIdentical(int group1, int group2) {
        int p1, p2, p3;
        vector<double> params1, params2;
        if (group1 < force.getNumDonors() && group2 < force.getNumDonors()) {
            force.getDonorParameters(group1, p1, p2, p3, params1);
            force.getDonorParameters(group2, p1, p2, p3, params2);
            return (params1 == params2 && params1 == params2);
        }
        if (group1 < force.getNumDonors() || group2 < force.getNumDonors())
            return false;
        group1 -= force.getNumDonors();
        group2 -= force.getNumDonors();
        if (group1 < force.getNumAcceptors() && group2 < force.getNumAcceptors()) {
            force.getAcceptorParameters(group1, p1, p2, p3, params1);
            force.getAcceptorParameters(group2, p1, p2, p3, params2);
            return (params1 == params2 && params1 == params2);
        }
        if (group1 < force.getNumAcceptors() || group2 < force.getNumAcceptors())
            return false;
        return true;
    }
private:
    const CustomHbondForce& force;
};

CudaCalcCustomHbondForceKernel::~CudaCalcCustomHbondForceKernel() {
    cu.setAsCurrent();
    if (donorParams != NULL)
        delete donorParams;
    if (acceptorParams != NULL)
        delete acceptorParams;
    if (donors != NULL)
        delete donors;
    if (acceptors != NULL)
        delete acceptors;
    if (globals != NULL)
        delete globals;
    if (donorExclusions != NULL)
        delete donorExclusions;
    if (acceptorExclusions != NULL)
        delete acceptorExclusions;
    for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
        delete tabulatedFunctions[i];
}

static void addDonorAndAcceptorCode(stringstream& computeDonor, stringstream& computeAcceptor, const string& value) {
    computeDonor << value;
    computeAcceptor << value;
}

static void applyDonorAndAcceptorForces(stringstream& applyToDonor, stringstream& applyToAcceptor, int atom, const string& value) {
    string forceNames[] = {"f1", "f2", "f3"};
    if (atom < 3)
        applyToAcceptor << forceNames[atom]<<" += trim("<<value<<");\n";
    else
        applyToDonor << forceNames[atom-3]<<" += trim("<<value<<");\n";
}

void CudaCalcCustomHbondForceKernel::initialize(const System& system, const CustomHbondForce& force) {
    // Record the lists of donors and acceptors, and the parameters for each one.

    cu.setAsCurrent();
    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumDonors()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumDonors()/numContexts;
    numDonors = endIndex-startIndex;
    numAcceptors = force.getNumAcceptors();
    if (numDonors == 0 || numAcceptors == 0)
        return;
    int numParticles = system.getNumParticles();
    donors = CudaArray::create<int4>(cu, numDonors, "customHbondDonors");
    acceptors = CudaArray::create<int4>(cu, numAcceptors, "customHbondAcceptors");
    donorParams = new CudaParameterSet(cu, force.getNumPerDonorParameters(), numDonors, "customHbondDonorParameters");
    acceptorParams = new CudaParameterSet(cu, force.getNumPerAcceptorParameters(), numAcceptors, "customHbondAcceptorParameters");
    if (force.getNumGlobalParameters() > 0)
        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customHbondGlobals");
    vector<vector<float> > donorParamVector(numDonors);
    vector<int4> donorVector(numDonors);
    for (int i = 0; i < numDonors; i++) {
        vector<double> parameters;
        force.getDonorParameters(startIndex+i, donorVector[i].x, donorVector[i].y, donorVector[i].z, parameters);
        donorParamVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            donorParamVector[i][j] = (float) parameters[j];
    }
    donors->upload(donorVector);
    donorParams->setParameterValues(donorParamVector);
    vector<vector<float> > acceptorParamVector(numAcceptors);
    vector<int4> acceptorVector(numAcceptors);
    for (int i = 0; i < numAcceptors; i++) {
        vector<double> parameters;
        force.getAcceptorParameters(i, acceptorVector[i].x, acceptorVector[i].y, acceptorVector[i].z, parameters);
        acceptorParamVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            acceptorParamVector[i][j] = (float) parameters[j];
    }
    acceptors->upload(acceptorVector);
    acceptorParams->setParameterValues(acceptorParamVector);
    cu.addForce(new CudaCustomHbondForceInfo(force));

    // Record exclusions.

    vector<int4> donorExclusionVector(numDonors, make_int4(-1, -1, -1, -1));
    vector<int4> acceptorExclusionVector(numAcceptors, make_int4(-1, -1, -1, -1));
    for (int i = 0; i < force.getNumExclusions(); i++) {
        int donor, acceptor;
        force.getExclusionParticles(i, donor, acceptor);
        if (donor < startIndex || donor >= endIndex)
            continue;
        donor -= startIndex;
        if (donorExclusionVector[donor].x == -1)
            donorExclusionVector[donor].x = acceptor;
        else if (donorExclusionVector[donor].y == -1)
            donorExclusionVector[donor].y = acceptor;
        else if (donorExclusionVector[donor].z == -1)
            donorExclusionVector[donor].z = acceptor;
        else if (donorExclusionVector[donor].w == -1)
            donorExclusionVector[donor].w = acceptor;
        else
            throw OpenMMException("CustomHbondForce: CudaPlatform does not support more than four exclusions per donor");
        if (acceptorExclusionVector[acceptor].x == -1)
            acceptorExclusionVector[acceptor].x = donor;
        else if (acceptorExclusionVector[acceptor].y == -1)
            acceptorExclusionVector[acceptor].y = donor;
        else if (acceptorExclusionVector[acceptor].z == -1)
            acceptorExclusionVector[acceptor].z = donor;
        else if (acceptorExclusionVector[acceptor].w == -1)
            acceptorExclusionVector[acceptor].w = donor;
        else
            throw OpenMMException("CustomHbondForce: CudaPlatform does not support more than four exclusions per acceptor");
    }
    donorExclusions = CudaArray::create<int4>(cu, numDonors, "customHbondDonorExclusions");
    acceptorExclusions = CudaArray::create<int4>(cu, numAcceptors, "customHbondAcceptorExclusions");
    donorExclusions->upload(donorExclusionVector);
    acceptorExclusions->upload(acceptorExclusionVector);

    // Record the tabulated functions.

    map<string, Lepton::CustomFunction*> functions;
    vector<pair<string, string> > functionDefinitions;
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    vector<const TabulatedFunction*> functionList;
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    stringstream tableArgs;
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    for (int i = 0; i < force.getNumTabulatedFunctions(); i++) {
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        functionList.push_back(&force.getTabulatedFunction(i));
        string name = force.getTabulatedFunctionName(i);
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        string arrayName = "table"+cu.intToString(i);
        functionDefinitions.push_back(make_pair(name, arrayName));
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        functions[name] = cu.getExpressionUtilities().getFunctionPlaceholder(force.getTabulatedFunction(i));
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        int width;
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        vector<float> f = cu.getExpressionUtilities().computeFunctionCoefficients(force.getTabulatedFunction(i), width);
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        tabulatedFunctions.push_back(CudaArray::create<float>(cu, f.size(), "TabulatedFunction"));
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        tabulatedFunctions[tabulatedFunctions.size()-1]->upload(f);
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        tableArgs << ", const float";
        if (width > 1)
            tableArgs << width;
        tableArgs << "* __restrict__ " << arrayName;
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    }

    // Record information about parameters.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    if (globals != NULL)
        globals->upload(globalParamValues);
    map<string, string> variables;
    for (int i = 0; i < force.getNumPerDonorParameters(); i++) {
        const string& name = force.getPerDonorParameterName(i);
        variables[name] = "donorParams"+donorParams->getParameterSuffix(i);
    }
    for (int i = 0; i < force.getNumPerAcceptorParameters(); i++) {
        const string& name = force.getPerAcceptorParameterName(i);
        variables[name] = "acceptorParams"+acceptorParams->getParameterSuffix(i);
    }
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        const string& name = force.getGlobalParameterName(i);
        variables[name] = "globals["+cu.intToString(i)+"]";
    }

    // Now to generate the kernel.  First, it needs to calculate all distances, angles,
    // and dihedrals the expression depends on.

    map<string, vector<int> > distances;
    map<string, vector<int> > angles;
    map<string, vector<int> > dihedrals;
    Lepton::ParsedExpression energyExpression = CustomHbondForceImpl::prepareExpression(force, functions, distances, angles, dihedrals);
    map<string, Lepton::ParsedExpression> forceExpressions;
    set<string> computedDeltas;
    computedDeltas.insert("D1A1");
    string atomNames[] = {"A1", "A2", "A3", "D1", "D2", "D3"};
    string atomNamesLower[] = {"a1", "a2", "a3", "d1", "d2", "d3"};
    stringstream computeDonor, computeAcceptor, extraArgs;
    int index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        if (computedDeltas.count(deltaName) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName+" = delta("+atomNamesLower[atoms[0]]+", "+atomNamesLower[atoms[1]]+");\n");
            computedDeltas.insert(deltaName);
        }
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real r_"+deltaName+" = SQRT(delta"+deltaName+".w);\n");
        variables[iter->first] = "r_"+deltaName;
        forceExpressions["real dEdDistance"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        string angleName = "angle_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]];
        if (computedDeltas.count(deltaName1) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName1+" = delta("+atomNamesLower[atoms[1]]+", "+atomNamesLower[atoms[0]]+");\n");
            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName2+" = delta("+atomNamesLower[atoms[1]]+", "+atomNamesLower[atoms[2]]+");\n");
            computedDeltas.insert(deltaName2);
        }
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real "+angleName+" = computeAngle(delta"+deltaName1+", delta"+deltaName2+");\n");
        variables[iter->first] = angleName;
        forceExpressions["real dEdAngle"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        string dihedralName = "dihedral_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]]+atomNames[atoms[3]];
        if (computedDeltas.count(deltaName1) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName1+" = delta("+atomNamesLower[atoms[0]]+", "+atomNamesLower[atoms[1]]+");\n");
            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName2+" = delta("+atomNamesLower[atoms[2]]+", "+atomNamesLower[atoms[1]]+");\n");
            computedDeltas.insert(deltaName2);
        }
        if (computedDeltas.count(deltaName3) == 0) {
            addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 delta"+deltaName3+" = delta("+atomNamesLower[atoms[2]]+", "+atomNamesLower[atoms[3]]+");\n");
            computedDeltas.insert(deltaName3);
        }
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 "+crossName1+" = computeCross(delta"+deltaName1+", delta"+deltaName2+");\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 "+crossName2+" = computeCross(delta"+deltaName2+", delta"+deltaName3+");\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real "+dihedralName+" = computeAngle("+crossName1+", "+crossName2+");\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, dihedralName+" *= (delta"+deltaName1+".x*"+crossName2+".x + delta"+deltaName1+".y*"+crossName2+".y + delta"+deltaName1+".z*"+crossName2+".z < 0 ? -1 : 1);\n");
        variables[iter->first] = dihedralName;
        forceExpressions["real dEdDihedral"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
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    // Next it needs to load parameters from global memory.
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    if (force.getNumGlobalParameters() > 0)
        extraArgs << ", const float* __restrict__ globals";
    for (int i = 0; i < (int) donorParams->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = donorParams->getBuffers()[i];
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        extraArgs << ", const "+buffer.getType()+"* __restrict__ donor"+buffer.getName();
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, buffer.getType()+" donorParams"+cu.intToString(i+1)+" = donor"+buffer.getName()+"[index];\n");
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    }
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    for (int i = 0; i < (int) acceptorParams->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = acceptorParams->getBuffers()[i];
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        extraArgs << ", const "+buffer.getType()+"* __restrict__ acceptor"+buffer.getName();
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, buffer.getType()+" acceptorParams"+cu.intToString(i+1)+" = acceptor"+buffer.getName()+"[index];\n");
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    }
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    // Now evaluate the expressions.

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    computeAcceptor << cu.getExpressionUtilities().createExpressions(forceExpressions, variables, functionList, functionDefinitions, "temp");
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    forceExpressions["energy += "] = energyExpression;
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    computeDonor << cu.getExpressionUtilities().createExpressions(forceExpressions, variables, functionList, functionDefinitions, "temp");
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    // Finally, apply forces to atoms.

    index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        string value = "(dEdDistance"+cu.intToString(index)+"/r_"+deltaName+")*delta"+deltaName;
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[0], "-"+value);
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[1], value);
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    }
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    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "{\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real3 crossProd = cross(delta"+deltaName2+", delta"+deltaName1+");\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real lengthCross = max(SQRT(dot(crossProd,crossProd)), 1e-6f);\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real3 deltaCross0 = -cross(trim(delta"+deltaName1+"), crossProd)*dEdAngle"+cu.intToString(index)+"/(delta"+deltaName1+".w*lengthCross);\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real3 deltaCross2 = cross(trim(delta"+deltaName2+"), crossProd)*dEdAngle"+cu.intToString(index)+"/(delta"+deltaName2+".w*lengthCross);\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real3 deltaCross1 = -(deltaCross0+deltaCross2);\n");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[0], "deltaCross0");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[1], "deltaCross1");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[2], "deltaCross2");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "}\n");
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "{\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real r = SQRT(delta"+deltaName2+".w);\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 ff;\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "ff.x = (-dEdDihedral"+cu.intToString(index)+"*r)/"+crossName1+".w;\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "ff.y = (delta"+deltaName1+".x*delta"+deltaName2+".x + delta"+deltaName1+".y*delta"+deltaName2+".y + delta"+deltaName1+".z*delta"+deltaName2+".z)/delta"+deltaName2+".w;\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "ff.z = (delta"+deltaName3+".x*delta"+deltaName2+".x + delta"+deltaName3+".y*delta"+deltaName2+".y + delta"+deltaName3+".z*delta"+deltaName2+".z)/delta"+deltaName2+".w;\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "ff.w = (dEdDihedral"+cu.intToString(index)+"*r)/"+crossName2+".w;\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 internalF0 = ff.x*"+crossName1+";\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 internalF3 = ff.w*"+crossName2+";\n");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "real4 s = ff.y*internalF0 - ff.z*internalF3;\n");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[0], "internalF0");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[1], "s-internalF0");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[2], "-s-internalF3");
        applyDonorAndAcceptorForces(computeDonor, computeAcceptor, atoms[3], "internalF3");
        addDonorAndAcceptorCode(computeDonor, computeAcceptor, "}\n");
    }

    // Generate the kernels.

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    map<string, string> replacements;
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    replacements["COMPUTE_DONOR_FORCE"] = computeDonor.str();
    replacements["COMPUTE_ACCEPTOR_FORCE"] = computeAcceptor.str();
    replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
    map<string, string> defines;
    defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
    defines["NUM_DONORS"] = cu.intToString(numDonors);
    defines["NUM_ACCEPTORS"] = cu.intToString(numAcceptors);
    defines["M_PI"] = cu.doubleToString(M_PI);
    if (force.getNonbondedMethod() != CustomHbondForce::NoCutoff) {
        defines["USE_CUTOFF"] = "1";
        defines["CUTOFF_SQUARED"] = cu.doubleToString(force.getCutoffDistance()*force.getCutoffDistance());
    }
    if (force.getNonbondedMethod() != CustomHbondForce::NoCutoff && force.getNonbondedMethod() != CustomHbondForce::CutoffNonPeriodic)
        defines["USE_PERIODIC"] = "1";
    if (force.getNumExclusions() > 0)
        defines["USE_EXCLUSIONS"] = "1";
    CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::vectorOps+CudaKernelSources::customHbondForce, replacements), defines);
    donorKernel = cu.getKernel(module, "computeDonorForces");
    acceptorKernel = cu.getKernel(module, "computeAcceptorForces");
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}

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double CudaCalcCustomHbondForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (numDonors == 0 || numAcceptors == 0)
        return 0.0;
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    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
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    if (!hasInitializedKernel) {
        hasInitializedKernel = true;
        int index = 0;
        donorArgs.push_back(&cu.getForce().getDevicePointer());
        donorArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
        donorArgs.push_back(&cu.getPosq().getDevicePointer());
        donorArgs.push_back(&donorExclusions->getDevicePointer());
        donorArgs.push_back(&donors->getDevicePointer());
        donorArgs.push_back(&acceptors->getDevicePointer());
        donorArgs.push_back(cu.getPeriodicBoxSizePointer());
        donorArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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        donorArgs.push_back(cu.getPeriodicBoxVecXPointer());
        donorArgs.push_back(cu.getPeriodicBoxVecYPointer());
        donorArgs.push_back(cu.getPeriodicBoxVecZPointer());
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        if (globals != NULL)
            donorArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) donorParams->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = donorParams->getBuffers()[i];
            donorArgs.push_back(&buffer.getMemory());
        }
        for (int i = 0; i < (int) acceptorParams->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = acceptorParams->getBuffers()[i];
            donorArgs.push_back(&buffer.getMemory());
        }
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        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            donorArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
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        index = 0;
        acceptorArgs.push_back(&cu.getForce().getDevicePointer());
        acceptorArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
        acceptorArgs.push_back(&cu.getPosq().getDevicePointer());
        acceptorArgs.push_back(&acceptorExclusions->getDevicePointer());
        acceptorArgs.push_back(&donors->getDevicePointer());
        acceptorArgs.push_back(&acceptors->getDevicePointer());
        acceptorArgs.push_back(cu.getPeriodicBoxSizePointer());
        acceptorArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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        acceptorArgs.push_back(cu.getPeriodicBoxVecXPointer());
        acceptorArgs.push_back(cu.getPeriodicBoxVecYPointer());
        acceptorArgs.push_back(cu.getPeriodicBoxVecZPointer());
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        if (globals != NULL)
            acceptorArgs.push_back(&globals->getDevicePointer());
        for (int i = 0; i < (int) donorParams->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = donorParams->getBuffers()[i];
            acceptorArgs.push_back(&buffer.getMemory());
        }
        for (int i = 0; i < (int) acceptorParams->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = acceptorParams->getBuffers()[i];
            acceptorArgs.push_back(&buffer.getMemory());
        }
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        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            acceptorArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
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    }
    int sharedMemorySize = 3*CudaContext::ThreadBlockSize*sizeof(float4);
    cu.executeKernel(donorKernel, &donorArgs[0], max(numDonors, numAcceptors), CudaContext::ThreadBlockSize, sharedMemorySize);
    cu.executeKernel(acceptorKernel, &acceptorArgs[0], max(numDonors, numAcceptors), CudaContext::ThreadBlockSize, sharedMemorySize);
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    return 0.0;
}

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void CudaCalcCustomHbondForceKernel::copyParametersToContext(ContextImpl& context, const CustomHbondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
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    int startIndex = cu.getContextIndex()*force.getNumDonors()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumDonors()/numContexts;
    if (numDonors != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of donors has changed");
    if (numAcceptors != force.getNumAcceptors())
        throw OpenMMException("updateParametersInContext: The number of acceptors has changed");
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    // Record the per-donor parameters.
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    if (numDonors > 0) {
        vector<vector<float> > donorParamVector(numDonors);
        vector<double> parameters;
        for (int i = 0; i < numDonors; i++) {
            int d1, d2, d3;
            force.getDonorParameters(startIndex+i, d1, d2, d3, parameters);
            donorParamVector[i].resize(parameters.size());
            for (int j = 0; j < (int) parameters.size(); j++)
                donorParamVector[i][j] = (float) parameters[j];
        }
        donorParams->setParameterValues(donorParamVector);
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    }
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    // Record the per-acceptor parameters.
    
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    if (numAcceptors > 0) {
        vector<vector<float> > acceptorParamVector(numAcceptors);
        vector<double> parameters;
        for (int i = 0; i < numAcceptors; i++) {
            int a1, a2, a3;
            force.getAcceptorParameters(i, a1, a2, a3, parameters);
            acceptorParamVector[i].resize(parameters.size());
            for (int j = 0; j < (int) parameters.size(); j++)
                acceptorParamVector[i][j] = (float) parameters[j];
        }
        acceptorParams->setParameterValues(acceptorParamVector);
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    }
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}
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class CudaCustomCompoundBondForceInfo : public CudaForceInfo {
public:
    CudaCustomCompoundBondForceInfo(const CustomCompoundBondForce& force) : force(force) {
    }
    int getNumParticleGroups() {
        return force.getNumBonds();
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
        vector<double> parameters;
        force.getBondParameters(index, particles, parameters);
    }
    bool areGroupsIdentical(int group1, int group2) {
        vector<int> particles;
        vector<double> parameters1, parameters2;
        force.getBondParameters(group1, particles, parameters1);
        force.getBondParameters(group2, particles, parameters2);
        for (int i = 0; i < (int) parameters1.size(); i++)
            if (parameters1[i] != parameters2[i])
                return false;
        return true;
    }
private:
    const CustomCompoundBondForce& force;
};

CudaCalcCustomCompoundBondForceKernel::~CudaCalcCustomCompoundBondForceKernel() {
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    cu.setAsCurrent();
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    if (params != NULL)
        delete params;
    if (globals != NULL)
        delete globals;
    for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
        delete tabulatedFunctions[i];
}

void CudaCalcCustomCompoundBondForceKernel::initialize(const System& system, const CustomCompoundBondForce& force) {
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    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    numBonds = endIndex-startIndex;
    if (numBonds == 0)
        return;
    int particlesPerBond = force.getNumParticlesPerBond();
    vector<vector<int> > atoms(numBonds, vector<int>(particlesPerBond));
    params = new CudaParameterSet(cu, force.getNumPerBondParameters(), numBonds, "customCompoundBondParams");
    vector<vector<float> > paramVector(numBonds);
    for (int i = 0; i < numBonds; i++) {
        vector<double> parameters;
        force.getBondParameters(startIndex+i, atoms[i], parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomCompoundBondForceInfo(force));

    // Record the tabulated functions.

    map<string, Lepton::CustomFunction*> functions;
    vector<pair<string, string> > functionDefinitions;
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    vector<const TabulatedFunction*> functionList;
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    stringstream tableArgs;
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    for (int i = 0; i < force.getNumTabulatedFunctions(); i++) {
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        functionList.push_back(&force.getTabulatedFunction(i));
        string name = force.getTabulatedFunctionName(i);
        functions[name] = cu.getExpressionUtilities().getFunctionPlaceholder(force.getTabulatedFunction(i));
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        int width;
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        vector<float> f = cu.getExpressionUtilities().computeFunctionCoefficients(force.getTabulatedFunction(i), width);
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        CudaArray* array = CudaArray::create<float>(cu, f.size(), "TabulatedFunction");
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        tabulatedFunctions.push_back(array);
        array->upload(f);
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        string arrayName = cu.getBondedUtilities().addArgument(array->getDevicePointer(), width == 1 ? "float" : "float"+cu.intToString(width));
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        functionDefinitions.push_back(make_pair(name, arrayName));
    }
    
    // Record information about parameters.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
    map<string, string> variables;
    for (int i = 0; i < particlesPerBond; i++) {
        string index = cu.intToString(i+1);
        variables["x"+index] = "pos"+index+".x";
        variables["y"+index] = "pos"+index+".y";
        variables["z"+index] = "pos"+index+".z";
    }
    for (int i = 0; i < force.getNumPerBondParameters(); i++) {
        const string& name = force.getPerBondParameterName(i);
        variables[name] = "bondParams"+params->getParameterSuffix(i);
    }
    if (force.getNumGlobalParameters() > 0) {
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        globals = CudaArray::create<float>(cu, force.getNumGlobalParameters(), "customCompoundBondGlobals");
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        globals->upload(globalParamValues);
        string argName = cu.getBondedUtilities().addArgument(globals->getDevicePointer(), "float");
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = argName+"["+cu.intToString(i)+"]";
            variables[name] = value;
        }
    }

    // Now to generate the kernel.  First, it needs to calculate all distances, angles,
    // and dihedrals the expression depends on.

    map<string, vector<int> > distances;
    map<string, vector<int> > angles;
    map<string, vector<int> > dihedrals;
    Lepton::ParsedExpression energyExpression = CustomCompoundBondForceImpl::prepareExpression(force, functions, distances, angles, dihedrals);
    map<string, Lepton::ParsedExpression> forceExpressions;
    set<string> computedDeltas;
    vector<string> atomNames, posNames;
    for (int i = 0; i < particlesPerBond; i++) {
        string index = cu.intToString(i+1);
        atomNames.push_back("P"+index);
        posNames.push_back("pos"+index);
    }
    stringstream compute;
    int index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        if (computedDeltas.count(deltaName) == 0) {
            compute<<"real4 delta"<<deltaName<<" = ccb_delta("<<posNames[atoms[0]]<<", "<<posNames[atoms[1]]<<");\n";
            computedDeltas.insert(deltaName);
        }
        compute<<"real r_"<<deltaName<<" = sqrt(delta"<<deltaName<<".w);\n";
        variables[iter->first] = "r_"+deltaName;
        forceExpressions["real dEdDistance"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        string angleName = "angle_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]];
        if (computedDeltas.count(deltaName1) == 0) {
            compute<<"real4 delta"<<deltaName1<<" = ccb_delta("<<posNames[atoms[1]]<<", "<<posNames[atoms[0]]<<");\n";
            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
            compute<<"real4 delta"<<deltaName2<<" = ccb_delta("<<posNames[atoms[1]]<<", "<<posNames[atoms[2]]<<");\n";
            computedDeltas.insert(deltaName2);
        }
        compute<<"real "<<angleName<<" = ccb_computeAngle(delta"<<deltaName1<<", delta"<<deltaName2<<");\n";
        variables[iter->first] = angleName;
        forceExpressions["real dEdAngle"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        string dihedralName = "dihedral_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]]+atomNames[atoms[3]];
        if (computedDeltas.count(deltaName1) == 0) {
            compute<<"real4 delta"<<deltaName1<<" = ccb_delta("<<posNames[atoms[0]]<<", "<<posNames[atoms[1]]<<");\n";
            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
            compute<<"real4 delta"<<deltaName2<<" = ccb_delta("<<posNames[atoms[2]]<<", "<<posNames[atoms[1]]<<");\n";
            computedDeltas.insert(deltaName2);
        }
        if (computedDeltas.count(deltaName3) == 0) {
            compute<<"real4 delta"<<deltaName3<<" = ccb_delta("<<posNames[atoms[2]]<<", "<<posNames[atoms[3]]<<");\n";
            computedDeltas.insert(deltaName3);
        }
        compute<<"real4 "<<crossName1<<" = ccb_computeCross(delta"<<deltaName1<<", delta"<<deltaName2<<");\n";
        compute<<"real4 "<<crossName2<<" = ccb_computeCross(delta"<<deltaName2<<", delta"<<deltaName3<<");\n";
        compute<<"real "<<dihedralName<<" = ccb_computeAngle("<<crossName1<<", "<<crossName2<<");\n";
        compute<<dihedralName<<" *= (delta"<<deltaName1<<".x*"<<crossName2<<".x + delta"<<deltaName1<<".y*"<<crossName2<<".y + delta"<<deltaName1<<".z*"<<crossName2<<".z < 0 ? -1 : 1);\n";
        variables[iter->first] = dihedralName;
        forceExpressions["real dEdDihedral"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }

    // Now evaluate the expressions.

    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
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        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
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        string argName = cu.getBondedUtilities().addArgument(buffer.getMemory(), buffer.getType());
        compute<<buffer.getType()<<" bondParams"<<(i+1)<<" = "<<argName<<"[index];\n";
    }
    forceExpressions["energy += "] = energyExpression;
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    compute << cu.getExpressionUtilities().createExpressions(forceExpressions, variables, functionList, functionDefinitions, "temp");
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    // Finally, apply forces to atoms.

    vector<string> forceNames;
    for (int i = 0; i < particlesPerBond; i++) {
        string istr = cu.intToString(i+1);
        string forceName = "force"+istr;
        forceNames.push_back(forceName);
        compute<<"real3 "<<forceName<<" = make_real3(0);\n";
        compute<<"{\n";
        Lepton::ParsedExpression forceExpressionX = energyExpression.differentiate("x"+istr).optimize();
        Lepton::ParsedExpression forceExpressionY = energyExpression.differentiate("y"+istr).optimize();
        Lepton::ParsedExpression forceExpressionZ = energyExpression.differentiate("z"+istr).optimize();
        map<string, Lepton::ParsedExpression> expressions;
        if (!isZeroExpression(forceExpressionX))
            expressions[forceName+".x -= "] = forceExpressionX;
        if (!isZeroExpression(forceExpressionY))
            expressions[forceName+".y -= "] = forceExpressionY;
        if (!isZeroExpression(forceExpressionZ))
            expressions[forceName+".z -= "] = forceExpressionZ;
        if (expressions.size() > 0)
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            compute<<cu.getExpressionUtilities().createExpressions(expressions, variables, functionList, functionDefinitions, "coordtemp");
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        compute<<"}\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        string value = "(dEdDistance"+cu.intToString(index)+"/r_"+deltaName+")*ccb_trim(delta"+deltaName+")";
        compute<<forceNames[atoms[0]]<<" += "<<"-"<<value<<";\n";
        compute<<forceNames[atoms[1]]<<" += "<<value<<";\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        compute<<"{\n";
        compute<<"real3 crossProd = cross(delta"<<deltaName2<<", delta"<<deltaName1<<");\n";
        compute<<"real lengthCross = max(SQRT(dot(crossProd, crossProd)), 1e-6f);\n";
        compute<<"real3 deltaCross0 = -cross(ccb_trim(delta"<<deltaName1<<"), crossProd)*dEdAngle"<<cu.intToString(index)<<"/(delta"<<deltaName1<<".w*lengthCross);\n";
        compute<<"real3 deltaCross2 = cross(ccb_trim(delta"<<deltaName2<<"), crossProd)*dEdAngle"<<cu.intToString(index)<<"/(delta"<<deltaName2<<".w*lengthCross);\n";
        compute<<"real3 deltaCross1 = -(deltaCross0+deltaCross2);\n";
        compute<<forceNames[atoms[0]]<<" += deltaCross0;\n";
        compute<<forceNames[atoms[1]]<<" += deltaCross1;\n";
        compute<<forceNames[atoms[2]]<<" += deltaCross2;\n";
        compute<<"}\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        compute<<"{\n";
        compute<<"real r = sqrt(delta"<<deltaName2<<".w);\n";
        compute<<"real4 ff;\n";
        compute<<"ff.x = (-dEdDihedral"<<cu.intToString(index)<<"*r)/"<<crossName1<<".w;\n";
        compute<<"ff.y = (delta"<<deltaName1<<".x*delta"<<deltaName2<<".x + delta"<<deltaName1<<".y*delta"<<deltaName2<<".y + delta"<<deltaName1<<".z*delta"<<deltaName2<<".z)/delta"<<deltaName2<<".w;\n";
        compute<<"ff.z = (delta"<<deltaName3<<".x*delta"<<deltaName2<<".x + delta"<<deltaName3<<".y*delta"<<deltaName2<<".y + delta"<<deltaName3<<".z*delta"<<deltaName2<<".z)/delta"<<deltaName2<<".w;\n";
        compute<<"ff.w = (dEdDihedral"<<cu.intToString(index)<<"*r)/"<<crossName2<<".w;\n";
        compute<<"real3 internalF0 = ff.x*ccb_trim("<<crossName1<<");\n";
        compute<<"real3 internalF3 = ff.w*ccb_trim("<<crossName2<<");\n";
        compute<<"real3 s = ff.y*internalF0 - ff.z*internalF3;\n";
        compute<<forceNames[atoms[0]]<<" += internalF0;\n";
        compute<<forceNames[atoms[1]]<<" += s-internalF0;\n";
        compute<<forceNames[atoms[2]]<<" += -s-internalF3;\n";
        compute<<forceNames[atoms[3]]<<" += internalF3;\n";
        compute<<"}\n";
    }
    cu.getBondedUtilities().addInteraction(atoms, compute.str(), force.getForceGroup());
    map<string, string> replacements;
    replacements["M_PI"] = cu.doubleToString(M_PI);
    cu.getBondedUtilities().addPrefixCode(cu.replaceStrings(CudaKernelSources::customCompoundBond, replacements));;
}

double CudaCalcCustomCompoundBondForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (globals != NULL) {
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
            globals->upload(globalParamValues);
    }
    return 0.0;
}

void CudaCalcCustomCompoundBondForceKernel::copyParametersToContext(ContextImpl& context, const CustomCompoundBondForce& force) {
4530
    cu.setAsCurrent();
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    int numContexts = cu.getPlatformData().contexts.size();
    int startIndex = cu.getContextIndex()*force.getNumBonds()/numContexts;
    int endIndex = (cu.getContextIndex()+1)*force.getNumBonds()/numContexts;
    if (numBonds != endIndex-startIndex)
        throw OpenMMException("updateParametersInContext: The number of bonds has changed");
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    if (numBonds == 0)
        return;
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    // Record the per-bond parameters.
    
    vector<vector<float> > paramVector(numBonds);
    vector<int> particles;
    vector<double> parameters;
    for (int i = 0; i < numBonds; i++) {
        force.getBondParameters(startIndex+i, particles, parameters);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

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class CudaCustomManyParticleForceInfo : public CudaForceInfo {
public:
    CudaCustomManyParticleForceInfo(const CustomManyParticleForce& force) : force(force) {
    }
    bool areParticlesIdentical(int particle1, int particle2) {
        vector<double> params1, params2;
        int type1, type2;
        force.getParticleParameters(particle1, params1, type1);
        force.getParticleParameters(particle2, params2, type2);
        if (type1 != type2)
            return false;
        for (int i = 0; i < (int) params1.size(); i++)
            if (params1[i] != params2[i])
                return false;
        return true;
    }
    int getNumParticleGroups() {
4574
        return force.getNumExclusions();
4575
4576
    }
    void getParticlesInGroup(int index, vector<int>& particles) {
4577
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        int particle1, particle2;
        force.getExclusionParticles(index, particle1, particle2);
        particles.resize(2);
        particles[0] = particle1;
        particles[1] = particle2;
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    }
    bool areGroupsIdentical(int group1, int group2) {
        return true;
    }
private:
    const CustomManyParticleForce& force;
};

CudaCalcCustomManyParticleForceKernel::~CudaCalcCustomManyParticleForceKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
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    if (orderIndex != NULL)
        delete orderIndex;
    if (particleOrder != NULL)
        delete particleOrder;
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    if (particleTypes != NULL)
        delete particleTypes;
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    if (exclusions != NULL)
        delete exclusions;
    if (exclusionStartIndex != NULL)
        delete exclusionStartIndex;
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    if (blockCenter != NULL)
        delete blockCenter;
    if (blockBoundingBox != NULL)
        delete blockBoundingBox;
    if (neighborPairs != NULL)
        delete neighborPairs;
    if (numNeighborPairs != NULL)
        delete numNeighborPairs;
    if (neighborStartIndex != NULL)
        delete neighborStartIndex;
    if (neighbors != NULL)
        delete neighbors;
    if (numNeighborsForAtom != NULL)
        delete numNeighborsForAtom;
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    for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
        delete tabulatedFunctions[i];
}

void CudaCalcCustomManyParticleForceKernel::initialize(const System& system, const CustomManyParticleForce& force) {
    cu.setAsCurrent();
    int numParticles = force.getNumParticles();
    int particlesPerSet = force.getNumParticlesPerSet();
4626
    bool centralParticleMode = (force.getPermutationMode() == CustomManyParticleForce::UniqueCentralParticle);
4627
    nonbondedMethod = CalcCustomManyParticleForceKernel::NonbondedMethod(force.getNonbondedMethod());
4628
    forceWorkgroupSize = 128;
4629
    findNeighborsWorkgroupSize = 128;
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    // Record parameter values.
    
    params = new CudaParameterSet(cu, force.getNumPerParticleParameters(), numParticles, "customManyParticleParameters");
    vector<vector<float> > paramVector(numParticles);
    for (int i = 0; i < numParticles; i++) {
        vector<double> parameters;
        int type;
        force.getParticleParameters(i, parameters, type);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    cu.addForce(new CudaCustomManyParticleForceInfo(force));

    // Record the tabulated functions.

    map<string, Lepton::CustomFunction*> functions;
    vector<pair<string, string> > functionDefinitions;
    vector<const TabulatedFunction*> functionList;
    stringstream tableArgs;
    for (int i = 0; i < force.getNumTabulatedFunctions(); i++) {
        functionList.push_back(&force.getTabulatedFunction(i));
        string name = force.getTabulatedFunctionName(i);
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        string arrayName = "table"+cu.intToString(i);
        functionDefinitions.push_back(make_pair(name, arrayName));
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        functions[name] = cu.getExpressionUtilities().getFunctionPlaceholder(force.getTabulatedFunction(i));
        int width;
        vector<float> f = cu.getExpressionUtilities().computeFunctionCoefficients(force.getTabulatedFunction(i), width);
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        tabulatedFunctions.push_back(CudaArray::create<float>(cu, f.size(), "TabulatedFunction"));
        tabulatedFunctions[tabulatedFunctions.size()-1]->upload(f);
        tableArgs << ", const float";
        if (width > 1)
            tableArgs << width;
        tableArgs << "* __restrict__ " << arrayName;
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    }
    
    // Record information about parameters.

    globalParamNames.resize(force.getNumGlobalParameters());
    globalParamValues.resize(force.getNumGlobalParameters());
    for (int i = 0; i < force.getNumGlobalParameters(); i++) {
        globalParamNames[i] = force.getGlobalParameterName(i);
        globalParamValues[i] = (float) force.getGlobalParameterDefaultValue(i);
    }
4676
    vector<pair<ExpressionTreeNode, string> > variables;
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    for (int i = 0; i < particlesPerSet; i++) {
        string index = cu.intToString(i+1);
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        variables.push_back(makeVariable("x"+index, "pos"+index+".x"));
        variables.push_back(makeVariable("y"+index, "pos"+index+".y"));
        variables.push_back(makeVariable("z"+index, "pos"+index+".z"));
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    }
    for (int i = 0; i < force.getNumPerParticleParameters(); i++) {
        const string& name = force.getPerParticleParameterName(i);
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        for (int j = 0; j < particlesPerSet; j++) {
            string index = cu.intToString(j+1);
            variables.push_back(makeVariable(name+index, "params"+params->getParameterSuffix(i, index)));
        }
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    }
    if (force.getNumGlobalParameters() > 0) {
        for (int i = 0; i < force.getNumGlobalParameters(); i++) {
            const string& name = force.getGlobalParameterName(i);
            string value = "globals["+cu.intToString(i)+"]";
4694
            variables.push_back(makeVariable(name, value));
4695
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        }
    }
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    // Build data structures for type filters.
    
    vector<int> particleTypesVec;
    vector<int> orderIndexVec;
    vector<std::vector<int> > particleOrderVec;
    int numTypes;
    CustomManyParticleForceImpl::buildFilterArrays(force, numTypes, particleTypesVec, orderIndexVec, particleOrderVec);
    bool hasTypeFilters = (particleOrderVec.size() > 1);
    if (hasTypeFilters) {
        particleTypes = CudaArray::create<int>(cu, particleTypesVec.size(), "customManyParticleTypes");
        orderIndex = CudaArray::create<int>(cu, orderIndexVec.size(), "customManyParticleOrderIndex");
        particleOrder = CudaArray::create<int>(cu, particleOrderVec.size()*particlesPerSet, "customManyParticleOrder");
        particleTypes->upload(particleTypesVec);
        orderIndex->upload(orderIndexVec);
        vector<int> flattenedOrder(particleOrder->getSize());
        for (int i = 0; i < (int) particleOrderVec.size(); i++)
            for (int j = 0; j < particlesPerSet; j++)
                flattenedOrder[i*particlesPerSet+j] = particleOrderVec[i][j];
        particleOrder->upload(flattenedOrder);
    }
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    // Build data structures for exclusions.
    
    if (force.getNumExclusions() > 0) {
        vector<vector<int> > particleExclusions(numParticles);
        for (int i = 0; i < force.getNumExclusions(); i++) {
            int p1, p2;
            force.getExclusionParticles(i, p1, p2);
            particleExclusions[p1].push_back(p2);
            particleExclusions[p2].push_back(p1);
        }
        vector<int> exclusionsVec;
        vector<int> exclusionStartIndexVec(numParticles+1);
        exclusionStartIndexVec[0] = 0;
        for (int i = 0; i < numParticles; i++) {
            sort(particleExclusions[i].begin(), particleExclusions[i].end());
            exclusionsVec.insert(exclusionsVec.end(), particleExclusions[i].begin(), particleExclusions[i].end());
            exclusionStartIndexVec[i+1] = exclusionsVec.size();
        }
        exclusions = CudaArray::create<int>(cu, exclusionsVec.size(), "customManyParticleExclusions");
        exclusionStartIndex = CudaArray::create<int>(cu, exclusionStartIndexVec.size(), "customManyParticleExclusionStart");
        exclusions->upload(exclusionsVec);
        exclusionStartIndex->upload(exclusionStartIndexVec);
    }
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    // Build data structures for the neighbor list.
    
    if (nonbondedMethod != NoCutoff) {
        int numAtomBlocks = cu.getNumAtomBlocks();
        int elementSize = (cu.getUseDoublePrecision() ? sizeof(double) : sizeof(float));
        blockCenter = new CudaArray(cu, numAtomBlocks, 4*elementSize, "blockCenter");
        blockBoundingBox = new CudaArray(cu, numAtomBlocks, 4*elementSize, "blockBoundingBox");
        numNeighborPairs = CudaArray::create<int>(cu, 1, "customManyParticleNumNeighborPairs");
        neighborStartIndex = CudaArray::create<int>(cu, numParticles+1, "customManyParticleNeighborStartIndex");
        numNeighborsForAtom = CudaArray::create<int>(cu, numParticles, "customManyParticleNumNeighborsForAtom");
        CHECK_RESULT(cuEventCreate(&event, CU_EVENT_DISABLE_TIMING), "Error creating event for CustomManyParticleForce");

        // Select a size for the array that holds the neighbor list.  We have to make a fairly
        // arbitrary guess, but if this turns out to be too small we'll increase it later.

        maxNeighborPairs = 150*numParticles;
        neighborPairs = CudaArray::create<int2>(cu, maxNeighborPairs, "customManyParticleNeighborPairs");
        neighbors = CudaArray::create<int>(cu, maxNeighborPairs, "customManyParticleNeighbors");
    }
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4783

    // Now to generate the kernel.  First, it needs to calculate all distances, angles,
    // and dihedrals the expression depends on.

    map<string, vector<int> > distances;
    map<string, vector<int> > angles;
    map<string, vector<int> > dihedrals;
    Lepton::ParsedExpression energyExpression = CustomManyParticleForceImpl::prepareExpression(force, functions, distances, angles, dihedrals);
    map<string, Lepton::ParsedExpression> forceExpressions;
    set<string> computedDeltas;
    vector<string> atomNames, posNames;
    for (int i = 0; i < particlesPerSet; i++) {
        string index = cu.intToString(i+1);
        atomNames.push_back("P"+index);
        posNames.push_back("pos"+index);
    }
    stringstream compute;
    int index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        if (computedDeltas.count(deltaName) == 0) {
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            compute<<"real4 delta"<<deltaName<<" = delta("<<posNames[atoms[0]]<<", "<<posNames[atoms[1]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName);
        }
        compute<<"real r_"<<deltaName<<" = sqrt(delta"<<deltaName<<".w);\n";
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        variables.push_back(makeVariable(iter->first, "r_"+deltaName));
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        forceExpressions["real dEdDistance"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        string angleName = "angle_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]];
        if (computedDeltas.count(deltaName1) == 0) {
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            compute<<"real4 delta"<<deltaName1<<" = delta("<<posNames[atoms[1]]<<", "<<posNames[atoms[0]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
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            compute<<"real4 delta"<<deltaName2<<" = delta("<<posNames[atoms[1]]<<", "<<posNames[atoms[2]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName2);
        }
        compute<<"real "<<angleName<<" = computeAngle(delta"<<deltaName1<<", delta"<<deltaName2<<");\n";
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        variables.push_back(makeVariable(iter->first, angleName));
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        forceExpressions["real dEdAngle"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        string dihedralName = "dihedral_"+atomNames[atoms[0]]+atomNames[atoms[1]]+atomNames[atoms[2]]+atomNames[atoms[3]];
        if (computedDeltas.count(deltaName1) == 0) {
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            compute<<"real4 delta"<<deltaName1<<" = delta("<<posNames[atoms[0]]<<", "<<posNames[atoms[1]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName1);
        }
        if (computedDeltas.count(deltaName2) == 0) {
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            compute<<"real4 delta"<<deltaName2<<" = delta("<<posNames[atoms[2]]<<", "<<posNames[atoms[1]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName2);
        }
        if (computedDeltas.count(deltaName3) == 0) {
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            compute<<"real4 delta"<<deltaName3<<" = delta("<<posNames[atoms[2]]<<", "<<posNames[atoms[3]]<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ);\n";
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            computedDeltas.insert(deltaName3);
        }
        compute<<"real4 "<<crossName1<<" = computeCross(delta"<<deltaName1<<", delta"<<deltaName2<<");\n";
        compute<<"real4 "<<crossName2<<" = computeCross(delta"<<deltaName2<<", delta"<<deltaName3<<");\n";
        compute<<"real "<<dihedralName<<" = computeAngle("<<crossName1<<", "<<crossName2<<");\n";
        compute<<dihedralName<<" *= (delta"<<deltaName1<<".x*"<<crossName2<<".x + delta"<<deltaName1<<".y*"<<crossName2<<".y + delta"<<deltaName1<<".z*"<<crossName2<<".z < 0 ? -1 : 1);\n";
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        variables.push_back(makeVariable(iter->first, dihedralName));
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        forceExpressions["real dEdDihedral"+cu.intToString(index)+" = "] = energyExpression.differentiate(iter->first).optimize();
    }

    // Now evaluate the expressions.

    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
        compute<<buffer.getType()<<" params"<<(i+1)<<" = global_params"<<(i+1)<<"[index];\n";
    }
    forceExpressions["energy += "] = energyExpression;
    compute << cu.getExpressionUtilities().createExpressions(forceExpressions, variables, functionList, functionDefinitions, "temp");

    // Apply forces to atoms.

    vector<string> forceNames;
    for (int i = 0; i < particlesPerSet; i++) {
        string istr = cu.intToString(i+1);
        string forceName = "force"+istr;
        forceNames.push_back(forceName);
        compute<<"real3 "<<forceName<<" = make_real3(0);\n";
        compute<<"{\n";
        Lepton::ParsedExpression forceExpressionX = energyExpression.differentiate("x"+istr).optimize();
        Lepton::ParsedExpression forceExpressionY = energyExpression.differentiate("y"+istr).optimize();
        Lepton::ParsedExpression forceExpressionZ = energyExpression.differentiate("z"+istr).optimize();
        map<string, Lepton::ParsedExpression> expressions;
        if (!isZeroExpression(forceExpressionX))
            expressions[forceName+".x -= "] = forceExpressionX;
        if (!isZeroExpression(forceExpressionY))
            expressions[forceName+".y -= "] = forceExpressionY;
        if (!isZeroExpression(forceExpressionZ))
            expressions[forceName+".z -= "] = forceExpressionZ;
        if (expressions.size() > 0)
            compute<<cu.getExpressionUtilities().createExpressions(expressions, variables, functionList, functionDefinitions, "coordtemp");
        compute<<"}\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = distances.begin(); iter != distances.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName = atomNames[atoms[0]]+atomNames[atoms[1]];
        string value = "(dEdDistance"+cu.intToString(index)+"/r_"+deltaName+")*trim(delta"+deltaName+")";
        compute<<forceNames[atoms[0]]<<" += "<<"-"<<value<<";\n";
        compute<<forceNames[atoms[1]]<<" += "<<value<<";\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = angles.begin(); iter != angles.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[1]]+atomNames[atoms[0]];
        string deltaName2 = atomNames[atoms[1]]+atomNames[atoms[2]];
        compute<<"{\n";
        compute<<"real3 crossProd = cross(delta"<<deltaName2<<", delta"<<deltaName1<<");\n";
        compute<<"real lengthCross = max(SQRT(dot(crossProd, crossProd)), 1e-6f);\n";
        compute<<"real3 deltaCross0 = -cross(trim(delta"<<deltaName1<<"), crossProd)*dEdAngle"<<cu.intToString(index)<<"/(delta"<<deltaName1<<".w*lengthCross);\n";
        compute<<"real3 deltaCross2 = cross(trim(delta"<<deltaName2<<"), crossProd)*dEdAngle"<<cu.intToString(index)<<"/(delta"<<deltaName2<<".w*lengthCross);\n";
        compute<<"real3 deltaCross1 = -(deltaCross0+deltaCross2);\n";
        compute<<forceNames[atoms[0]]<<" += deltaCross0;\n";
        compute<<forceNames[atoms[1]]<<" += deltaCross1;\n";
        compute<<forceNames[atoms[2]]<<" += deltaCross2;\n";
        compute<<"}\n";
    }
    index = 0;
    for (map<string, vector<int> >::const_iterator iter = dihedrals.begin(); iter != dihedrals.end(); ++iter, ++index) {
        const vector<int>& atoms = iter->second;
        string deltaName1 = atomNames[atoms[0]]+atomNames[atoms[1]];
        string deltaName2 = atomNames[atoms[2]]+atomNames[atoms[1]];
        string deltaName3 = atomNames[atoms[2]]+atomNames[atoms[3]];
        string crossName1 = "cross_"+deltaName1+"_"+deltaName2;
        string crossName2 = "cross_"+deltaName2+"_"+deltaName3;
        compute<<"{\n";
        compute<<"real r = sqrt(delta"<<deltaName2<<".w);\n";
        compute<<"real4 ff;\n";
        compute<<"ff.x = (-dEdDihedral"<<cu.intToString(index)<<"*r)/"<<crossName1<<".w;\n";
        compute<<"ff.y = (delta"<<deltaName1<<".x*delta"<<deltaName2<<".x + delta"<<deltaName1<<".y*delta"<<deltaName2<<".y + delta"<<deltaName1<<".z*delta"<<deltaName2<<".z)/delta"<<deltaName2<<".w;\n";
        compute<<"ff.z = (delta"<<deltaName3<<".x*delta"<<deltaName2<<".x + delta"<<deltaName3<<".y*delta"<<deltaName2<<".y + delta"<<deltaName3<<".z*delta"<<deltaName2<<".z)/delta"<<deltaName2<<".w;\n";
        compute<<"ff.w = (dEdDihedral"<<cu.intToString(index)<<"*r)/"<<crossName2<<".w;\n";
        compute<<"real3 internalF0 = ff.x*trim("<<crossName1<<");\n";
        compute<<"real3 internalF3 = ff.w*trim("<<crossName2<<");\n";
        compute<<"real3 s = ff.y*internalF0 - ff.z*internalF3;\n";
        compute<<forceNames[atoms[0]]<<" += internalF0;\n";
        compute<<forceNames[atoms[1]]<<" += s-internalF0;\n";
        compute<<forceNames[atoms[2]]<<" += -s-internalF3;\n";
        compute<<forceNames[atoms[3]]<<" += internalF3;\n";
        compute<<"}\n";
    }
    
    // Store forces to global memory.
    
    for (int i = 0; i < particlesPerSet; i++)
        compute<<"storeForce(atom"<<(i+1)<<", "<<forceNames[i]<<", forceBuffers);\n";
    
    // Create other replacements that depend on the number of particles per set.
    
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    stringstream numCombinations, atomsForCombination, isValidCombination, permute, loadData, verifyCutoff, verifyExclusions;
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    if (hasTypeFilters) {
        permute<<"int particleSet[] = {";
        for (int i = 0; i < particlesPerSet; i++) {
            permute<<"p"<<(i+1);
            if (i < particlesPerSet-1)
                permute<<", ";
        }
        permute<<"};\n";
    }
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    for (int i = 0; i < particlesPerSet; i++) {
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        if (hasTypeFilters)
peastman's avatar
Bug fix  
peastman committed
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            permute<<"int atom"<<(i+1)<<" = particleSet[particleOrder["<<particlesPerSet<<"*order+"<<i<<"]];\n";
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        else
            permute<<"int atom"<<(i+1)<<" = p"<<(i+1)<<";\n";
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        loadData<<"real3 pos"<<(i+1)<<" = trim(posq[atom"<<(i+1)<<"]);\n";
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        for (int j = 0; j < (int) params->getBuffers().size(); j++)
            loadData<<params->getBuffers()[j].getType()<<" params"<<(j+1)<<(i+1)<<" = global_params"<<(j+1)<<"[atom"<<(i+1)<<"];\n";
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    }
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    if (centralParticleMode) {
        for (int i = 1; i < particlesPerSet; i++) {
            if (i > 1)
                isValidCombination<<" && p"<<(i+1)<<">p"<<i<<" && ";
            isValidCombination<<"p"<<(i+1)<<"!=p1";
        }
    }
    else {
        for (int i = 2; i < particlesPerSet; i++) {
            if (i > 2)
                isValidCombination<<" && ";
            isValidCombination<<"a"<<(i+1)<<">a"<<i;
        }
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    }
    atomsForCombination<<"int tempIndex = index;\n";
    for (int i = 1; i < particlesPerSet; i++) {
        if (i > 1)
            numCombinations<<"*";
        numCombinations<<"numNeighbors";
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        if (centralParticleMode)
            atomsForCombination<<"int a"<<(i+1)<<" = tempIndex%numNeighbors;\n";
        else
            atomsForCombination<<"int a"<<(i+1)<<" = 1+tempIndex%numNeighbors;\n";
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        if (i < particlesPerSet-1)
            atomsForCombination<<"tempIndex /= numNeighbors;\n";
    }
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    if (particlesPerSet > 2) {
        if (centralParticleMode)
            atomsForCombination<<"a2 = (a3%2 == 0 ? a2 : numNeighbors-a2-1);\n";
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        else
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            atomsForCombination<<"a2 = (a3%2 == 0 ? a2 : numNeighbors-a2+1);\n";
    }
    for (int i = 1; i < particlesPerSet; i++) {
        if (nonbondedMethod == NoCutoff) {
            if (centralParticleMode)
                atomsForCombination<<"int p"<<(i+1)<<" = a"<<(i+1)<<";\n";
            else
                atomsForCombination<<"int p"<<(i+1)<<" = p1+a"<<(i+1)<<";\n";
        }
        else {
            if (centralParticleMode)
                atomsForCombination<<"int p"<<(i+1)<<" = neighbors[firstNeighbor+a"<<(i+1)<<"];\n";
            else
                atomsForCombination<<"int p"<<(i+1)<<" = neighbors[firstNeighbor-1+a"<<(i+1)<<"];\n";
        }
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    }
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    if (nonbondedMethod != NoCutoff) {
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        for (int i = 1; i < particlesPerSet; i++)
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            verifyCutoff<<"real3 pos"<<(i+1)<<" = trim(posq[p"<<(i+1)<<"]);\n";
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        if (!centralParticleMode) {
            for (int i = 1; i < particlesPerSet; i++) {
                for (int j = i+1; j < particlesPerSet; j++)
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                    verifyCutoff<<"includeInteraction &= (delta(pos"<<(i+1)<<", pos"<<(j+1)<<", periodicBoxSize, invPeriodicBoxSize, periodicBoxVecX, periodicBoxVecY, periodicBoxVecZ).w < CUTOFF_SQUARED);\n";
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            }
        }
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    }
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    if (force.getNumExclusions() > 0) {
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        int startCheckFrom = (nonbondedMethod == NoCutoff ? 0 : 1);
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        for (int i = startCheckFrom; i < particlesPerSet; i++)
            for (int j = i+1; j < particlesPerSet; j++)
                verifyExclusions<<"includeInteraction &= !isInteractionExcluded(p"<<(i+1)<<", p"<<(j+1)<<", exclusions, exclusionStartIndex);\n";
    }
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    string computeTypeIndex = "particleTypes[p"+cu.intToString(particlesPerSet)+"]";
    for (int i = particlesPerSet-2; i >= 0; i--)
        computeTypeIndex = "particleTypes[p"+cu.intToString(i+1)+"]+"+cu.intToString(numTypes)+"*("+computeTypeIndex+")";
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    // Create replacements for extra arguments.
    
    stringstream extraArgs;
    for (int i = 0; i < (int) params->getBuffers().size(); i++) {
        CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
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        extraArgs<<", const "<<buffer.getType()<<"* __restrict__ global_params"<<(i+1);
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    }

    // Create the kernels.

    map<string, string> replacements;
    replacements["COMPUTE_INTERACTION"] = compute.str();
    replacements["NUM_CANDIDATE_COMBINATIONS"] = numCombinations.str();
    replacements["FIND_ATOMS_FOR_COMBINATION_INDEX"] = atomsForCombination.str();
    replacements["IS_VALID_COMBINATION"] = isValidCombination.str();
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    replacements["VERIFY_CUTOFF"] = verifyCutoff.str();
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    replacements["VERIFY_EXCLUSIONS"] = verifyExclusions.str();
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    replacements["PERMUTE_ATOMS"] = permute.str();
    replacements["LOAD_PARTICLE_DATA"] = loadData.str();
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    replacements["COMPUTE_TYPE_INDEX"] = computeTypeIndex;
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    replacements["PARAMETER_ARGUMENTS"] = extraArgs.str()+tableArgs.str();
    map<string, string> defines;
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    if (nonbondedMethod != NoCutoff)
        defines["USE_CUTOFF"] = "1";
    if (nonbondedMethod == CutoffPeriodic)
        defines["USE_PERIODIC"] = "1";
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    if (centralParticleMode)
        defines["USE_CENTRAL_PARTICLE"] = "1";
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    if (hasTypeFilters)
        defines["USE_FILTERS"] = "1";
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    if (force.getNumExclusions() > 0)
        defines["USE_EXCLUSIONS"] = "1";
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    defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
    defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
    defines["M_PI"] = cu.doubleToString(M_PI);
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    defines["CUTOFF_SQUARED"] = cu.doubleToString(force.getCutoffDistance()*force.getCutoffDistance());
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    defines["TILE_SIZE"] = cu.intToString(CudaContext::TileSize);
    defines["NUM_BLOCKS"] = cu.intToString(cu.getNumAtomBlocks());
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    defines["NUM_GLOBALS"] = cu.intToString(max(1, force.getNumGlobalParameters()));
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    defines["FIND_NEIGHBORS_WORKGROUP_SIZE"] = cu.intToString(findNeighborsWorkgroupSize);
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    CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::vectorOps+CudaKernelSources::customManyParticle, replacements), defines);
    forceKernel = cu.getKernel(module, "computeInteraction");
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    blockBoundsKernel = cu.getKernel(module, "findBlockBounds");
    neighborsKernel = cu.getKernel(module, "findNeighbors");
    startIndicesKernel = cu.getKernel(module, "computeNeighborStartIndices");
    copyPairsKernel = cu.getKernel(module, "copyPairsToNeighborList");
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    cuFuncSetCacheConfig(forceKernel, CU_FUNC_CACHE_PREFER_L1);
    cuFuncSetCacheConfig(neighborsKernel, CU_FUNC_CACHE_PREFER_L1);
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    size_t bytes;
    CHECK_RESULT(cuModuleGetGlobal(&globalsPtr, &bytes, module, "globals"), "Error getting address for constant memory")
    cuMemcpyHtoD(globalsPtr, &globalParamValues[0], globalParamValues.size()*sizeof(float));
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}

double CudaCalcCustomManyParticleForceKernel::execute(ContextImpl& context, bool includeForces, bool includeEnergy) {
    if (!hasInitializedKernel) {
        hasInitializedKernel = true;
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        // Set arguments for the force kernel.
        
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        forceArgs.push_back(&cu.getForce().getDevicePointer());
        forceArgs.push_back(&cu.getEnergyBuffer().getDevicePointer());
        forceArgs.push_back(&cu.getPosq().getDevicePointer());
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        forceArgs.push_back(cu.getPeriodicBoxSizePointer());
        forceArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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        forceArgs.push_back(cu.getPeriodicBoxVecXPointer());
        forceArgs.push_back(cu.getPeriodicBoxVecYPointer());
        forceArgs.push_back(cu.getPeriodicBoxVecZPointer());
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        if (nonbondedMethod != NoCutoff) {
            forceArgs.push_back(&neighbors->getDevicePointer());
            forceArgs.push_back(&neighborStartIndex->getDevicePointer());
        }
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        if (particleTypes != NULL) {
            forceArgs.push_back(&particleTypes->getDevicePointer());
            forceArgs.push_back(&orderIndex->getDevicePointer());
            forceArgs.push_back(&particleOrder->getDevicePointer());
        }
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        if (exclusions != NULL) {
            forceArgs.push_back(&exclusions->getDevicePointer());
            forceArgs.push_back(&exclusionStartIndex->getDevicePointer());
        }
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        for (int i = 0; i < (int) params->getBuffers().size(); i++) {
            CudaNonbondedUtilities::ParameterInfo& buffer = params->getBuffers()[i];
            forceArgs.push_back(&buffer.getMemory());
        }
        for (int i = 0; i < (int) tabulatedFunctions.size(); i++)
            forceArgs.push_back(&tabulatedFunctions[i]->getDevicePointer());
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        if (nonbondedMethod != NoCutoff) {
            // Set arguments for the block bounds kernel.

            blockBoundsArgs.push_back(cu.getPeriodicBoxSizePointer());
            blockBoundsArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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            blockBoundsArgs.push_back(cu.getPeriodicBoxVecXPointer());
            blockBoundsArgs.push_back(cu.getPeriodicBoxVecYPointer());
            blockBoundsArgs.push_back(cu.getPeriodicBoxVecZPointer());
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            blockBoundsArgs.push_back(&cu.getPosq().getDevicePointer());
            blockBoundsArgs.push_back(&blockCenter->getDevicePointer());
            blockBoundsArgs.push_back(&blockBoundingBox->getDevicePointer());
            blockBoundsArgs.push_back(&numNeighborPairs->getDevicePointer());

            // Set arguments for the neighbor list kernel.

            neighborsArgs.push_back(cu.getPeriodicBoxSizePointer());
            neighborsArgs.push_back(cu.getInvPeriodicBoxSizePointer());
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            neighborsArgs.push_back(cu.getPeriodicBoxVecXPointer());
            neighborsArgs.push_back(cu.getPeriodicBoxVecYPointer());
            neighborsArgs.push_back(cu.getPeriodicBoxVecZPointer());
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            neighborsArgs.push_back(&cu.getPosq().getDevicePointer());
            neighborsArgs.push_back(&blockCenter->getDevicePointer());
            neighborsArgs.push_back(&blockBoundingBox->getDevicePointer());
            neighborsArgs.push_back(&neighborPairs->getDevicePointer());
            neighborsArgs.push_back(&numNeighborPairs->getDevicePointer());
            neighborsArgs.push_back(&numNeighborsForAtom->getDevicePointer());
            neighborsArgs.push_back(&maxNeighborPairs);
            if (exclusions != NULL) {
                neighborsArgs.push_back(&exclusions->getDevicePointer());
                neighborsArgs.push_back(&exclusionStartIndex->getDevicePointer());
            }
            
            // Set arguments for the kernel to find neighbor list start indices.
            
            startIndicesArgs.push_back(&numNeighborsForAtom->getDevicePointer());
            startIndicesArgs.push_back(&neighborStartIndex->getDevicePointer());
5134
5135
            startIndicesArgs.push_back(&numNeighborPairs->getDevicePointer());
            startIndicesArgs.push_back(&maxNeighborPairs);
5136
5137
5138
5139
5140
5141
5142
5143
5144
5145

            // Set arguments for the kernel to assemble the final neighbor list.
            
            copyPairsArgs.push_back(&neighborPairs->getDevicePointer());
            copyPairsArgs.push_back(&neighbors->getDevicePointer());
            copyPairsArgs.push_back(&numNeighborPairs->getDevicePointer());
            copyPairsArgs.push_back(&maxNeighborPairs);
            copyPairsArgs.push_back(&numNeighborsForAtom->getDevicePointer());
            copyPairsArgs.push_back(&neighborStartIndex->getDevicePointer());
       }
5146
    }
5147
    if (globalParamValues.size() > 0) {
5148
5149
5150
5151
5152
5153
5154
5155
        bool changed = false;
        for (int i = 0; i < (int) globalParamNames.size(); i++) {
            float value = (float) context.getParameter(globalParamNames[i]);
            if (value != globalParamValues[i])
                changed = true;
            globalParamValues[i] = value;
        }
        if (changed)
5156
            cuMemcpyHtoD(globalsPtr, &globalParamValues[0], globalParamValues.size()*sizeof(float));
5157
    }
5158
5159
5160
5161
    while (true) {
        int* numPairs = (int*) cu.getPinnedBuffer();
        if (nonbondedMethod != NoCutoff) {
            cu.executeKernel(blockBoundsKernel, &blockBoundsArgs[0], cu.getNumAtomBlocks());
5162
            cu.executeKernel(neighborsKernel, &neighborsArgs[0], cu.getNumAtoms(), findNeighborsWorkgroupSize);
5163
5164
5165
5166
5167
5168
5169
5170
5171

            // We need to make sure there was enough memory for the neighbor list.  Download the
            // information asynchronously so kernels can be running at the same time.

            numNeighborPairs->download(numPairs, false);
            CHECK_RESULT(cuEventRecord(event, 0), "Error recording event for CustomManyParticleForce");
            cu.executeKernel(startIndicesKernel, &startIndicesArgs[0], 256, 256, 256*sizeof(int));
            cu.executeKernel(copyPairsKernel, &copyPairsArgs[0], maxNeighborPairs);
        }
5172
5173
        int maxThreads = min(cu.getNumAtoms()*forceWorkgroupSize, cu.getEnergyBuffer().getSize());
        cu.executeKernel(forceKernel, &forceArgs[0], maxThreads, forceWorkgroupSize);
5174
5175
5176
5177
5178
5179
5180
5181
5182
5183
5184
5185
5186
5187
        if (nonbondedMethod != NoCutoff) {
            // Make sure there was enough memory for the neighbor list.

            CHECK_RESULT(cuEventSynchronize(event), "Error synchronizing on event for CustomManyParticleForce");
            if (*numPairs > maxNeighborPairs) {
                // Resize the arrays and run the calculation again.

                delete neighborPairs;
                neighborPairs = NULL;
                delete neighbors;
                neighbors = NULL;
                maxNeighborPairs = (int) (1.1*(*numPairs));
                neighborPairs = CudaArray::create<int2>(cu, maxNeighborPairs, "customManyParticleNeighborPairs");
                neighbors = CudaArray::create<int>(cu, maxNeighborPairs, "customManyParticleNeighbors");
5188
5189
5190
5191
                forceArgs[5] = &neighbors->getDevicePointer();
                neighborsArgs[5] = &neighborPairs->getDevicePointer();
                copyPairsArgs[0] = &neighborPairs->getDevicePointer();
                copyPairsArgs[1] = &neighbors->getDevicePointer();
5192
5193
5194
5195
5196
                continue;
            }
        }
        break;
    }
5197
5198
5199
5200
5201
5202
5203
5204
5205
5206
5207
5208
5209
5210
5211
5212
5213
5214
5215
5216
5217
5218
5219
5220
5221
5222
5223
    return 0.0;
}

void CudaCalcCustomManyParticleForceKernel::copyParametersToContext(ContextImpl& context, const CustomManyParticleForce& force) {
    cu.setAsCurrent();
    int numParticles = force.getNumParticles();
    if (numParticles != cu.getNumAtoms())
        throw OpenMMException("updateParametersInContext: The number of particles has changed");
    
    // Record the per-particle parameters.
    
    vector<vector<float> > paramVector(numParticles);
    vector<double> parameters;
    int type;
    for (int i = 0; i < numParticles; i++) {
        force.getParticleParameters(i, parameters, type);
        paramVector[i].resize(parameters.size());
        for (int j = 0; j < (int) parameters.size(); j++)
            paramVector[i][j] = (float) parameters[j];
    }
    params->setParameterValues(paramVector);
    
    // Mark that the current reordering may be invalid.
    
    cu.invalidateMolecules();
}

5224
5225
5226
5227
5228
CudaIntegrateVerletStepKernel::~CudaIntegrateVerletStepKernel() {
}

void CudaIntegrateVerletStepKernel::initialize(const System& system, const VerletIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
5229
    cu.setAsCurrent();
5230
5231
5232
5233
5234
5235
5236
5237
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::verlet, defines, "");
    kernel1 = cu.getKernel(module, "integrateVerletPart1");
    kernel2 = cu.getKernel(module, "integrateVerletPart2");
    prevStepSize = -1.0;
}

void CudaIntegrateVerletStepKernel::execute(ContextImpl& context, const VerletIntegrator& integrator) {
5238
    cu.setAsCurrent();
5239
5240
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
5241
    int paddedNumAtoms = cu.getPaddedNumAtoms();
5242
5243
    double dt = integrator.getStepSize();
    if (dt != prevStepSize) {
5244
        if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
5245
5246
5247
5248
5249
5250
5251
5252
5253
5254
5255
5256
5257
5258
            vector<double2> stepSizeVec(1);
            stepSizeVec[0] = make_double2(dt, dt);
            cu.getIntegrationUtilities().getStepSize().upload(stepSizeVec);
        }
        else {
            vector<float2> stepSizeVec(1);
            stepSizeVec[0] = make_float2((float) dt, (float) dt);
            cu.getIntegrationUtilities().getStepSize().upload(stepSizeVec);
        }
        prevStepSize = dt;
    }

    // Call the first integration kernel.

5259
    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
5260
    void* args1[] = {&numAtoms, &paddedNumAtoms, &cu.getIntegrationUtilities().getStepSize().getDevicePointer(), &cu.getPosq().getDevicePointer(), &posCorrection,
5261
5262
5263
5264
5265
5266
5267
5268
5269
            &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer(), &integration.getPosDelta().getDevicePointer()};
    cu.executeKernel(kernel1, args1, numAtoms);

    // Apply constraints.

    integration.applyConstraints(integrator.getConstraintTolerance());

    // Call the second integration kernel.

5270
    void* args2[] = {&numAtoms, &cu.getIntegrationUtilities().getStepSize().getDevicePointer(), &cu.getPosq().getDevicePointer(), &posCorrection,
5271
5272
5273
5274
5275
5276
5277
5278
            &cu.getVelm().getDevicePointer(), &integration.getPosDelta().getDevicePointer()};
    cu.executeKernel(kernel2, args2, numAtoms);
    integration.computeVirtualSites();

    // Update the time and step count.

    cu.setTime(cu.getTime()+dt);
    cu.setStepCount(cu.getStepCount()+1);
5279
    cu.reorderAtoms();
5280
5281
}

5282
5283
5284
5285
double CudaIntegrateVerletStepKernel::computeKineticEnergy(ContextImpl& context, const VerletIntegrator& integrator) {
    return cu.getIntegrationUtilities().computeKineticEnergy(0.5*integrator.getStepSize());
}

5286
5287
5288
5289
5290
5291
5292
5293
CudaIntegrateLangevinStepKernel::~CudaIntegrateLangevinStepKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
}

void CudaIntegrateLangevinStepKernel::initialize(const System& system, const LangevinIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
5294
    cu.setAsCurrent();
5295
5296
5297
5298
5299
    cu.getIntegrationUtilities().initRandomNumberGenerator(integrator.getRandomNumberSeed());
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::langevin, defines, "");
    kernel1 = cu.getKernel(module, "integrateLangevinPart1");
    kernel2 = cu.getKernel(module, "integrateLangevinPart2");
5300
    params = new CudaArray(cu, 3, cu.getUseDoublePrecision() || cu.getUseMixedPrecision() ? sizeof(double) : sizeof(float), "langevinParams");
5301
5302
5303
5304
    prevStepSize = -1.0;
}

void CudaIntegrateLangevinStepKernel::execute(ContextImpl& context, const LangevinIntegrator& integrator) {
5305
    cu.setAsCurrent();
5306
5307
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
5308
    int paddedNumAtoms = cu.getPaddedNumAtoms();
5309
5310
5311
5312
5313
5314
5315
5316
5317
5318
5319
    double temperature = integrator.getTemperature();
    double friction = integrator.getFriction();
    double stepSize = integrator.getStepSize();
    if (temperature != prevTemp || friction != prevFriction || stepSize != prevStepSize) {
        // Calculate the integration parameters.

        double tau = (friction == 0.0 ? 0.0 : 1.0/friction);
        double kT = BOLTZ*temperature;
        double vscale = exp(-stepSize/tau);
        double fscale = (1-vscale)*tau;
        double noisescale = sqrt(2*kT/tau)*sqrt(0.5*(1-vscale*vscale)*tau);
5320
        if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
5321
5322
5323
5324
5325
5326
5327
5328
5329
5330
5331
5332
5333
5334
5335
5336
5337
5338
5339
5340
5341
5342
5343
5344
5345
            vector<double> p(params->getSize());
            p[0] = vscale;
            p[1] = fscale;
            p[2] = noisescale;
            params->upload(p);
            double2 ss = make_double2(0, stepSize);
            integration.getStepSize().upload(&ss);
        }
        else {
            vector<float> p(params->getSize());
            p[0] = (float) vscale;
            p[1] = (float) fscale;
            p[2] = (float) noisescale;
            params->upload(p);
            float2 ss = make_float2(0, (float) stepSize);
            integration.getStepSize().upload(&ss);
        }
        prevTemp = temperature;
        prevFriction = friction;
        prevStepSize = stepSize;
    }

    // Call the first integration kernel.

    int randomIndex = integration.prepareRandomNumbers(cu.getPaddedNumAtoms());
5346
    void* args1[] = {&numAtoms, &paddedNumAtoms, &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer(), &integration.getPosDelta().getDevicePointer(),
5347
5348
5349
5350
5351
5352
5353
5354
5355
            &params->getDevicePointer(), &integration.getStepSize().getDevicePointer(), &integration.getRandom().getDevicePointer(), &randomIndex};
    cu.executeKernel(kernel1, args1, numAtoms);

    // Apply constraints.

    integration.applyConstraints(integrator.getConstraintTolerance());

    // Call the second integration kernel.

5356
    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
5357
    void* args2[] = {&numAtoms, &cu.getPosq().getDevicePointer(), &posCorrection, &integration.getPosDelta().getDevicePointer(),
5358
5359
5360
5361
5362
5363
5364
5365
            &cu.getVelm().getDevicePointer(), &integration.getStepSize().getDevicePointer()};
    cu.executeKernel(kernel2, args2, numAtoms);
    integration.computeVirtualSites();

    // Update the time and step count.

    cu.setTime(cu.getTime()+stepSize);
    cu.setStepCount(cu.getStepCount()+1);
5366
    cu.reorderAtoms();
5367
5368
}

5369
5370
5371
5372
double CudaIntegrateLangevinStepKernel::computeKineticEnergy(ContextImpl& context, const LangevinIntegrator& integrator) {
    return cu.getIntegrationUtilities().computeKineticEnergy(0.5*integrator.getStepSize());
}

5373
5374
5375
5376
5377
CudaIntegrateBrownianStepKernel::~CudaIntegrateBrownianStepKernel() {
}

void CudaIntegrateBrownianStepKernel::initialize(const System& system, const BrownianIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
5378
    cu.setAsCurrent();
5379
5380
5381
5382
5383
5384
5385
5386
5387
    cu.getIntegrationUtilities().initRandomNumberGenerator(integrator.getRandomNumberSeed());
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::brownian, defines, "");
    kernel1 = cu.getKernel(module, "integrateBrownianPart1");
    kernel2 = cu.getKernel(module, "integrateBrownianPart2");
    prevStepSize = -1.0;
}

void CudaIntegrateBrownianStepKernel::execute(ContextImpl& context, const BrownianIntegrator& integrator) {
5388
    cu.setAsCurrent();
5389
5390
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
5391
    int paddedNumAtoms = cu.getPaddedNumAtoms();
5392
5393
5394
5395
5396
5397
5398
5399
5400
    double temperature = integrator.getTemperature();
    double friction = integrator.getFriction();
    double stepSize = integrator.getStepSize();
    double tau = (friction == 0.0 ? 0.0 : 1.0/friction);
    double tauDt = tau*stepSize;
    double noise = sqrt(2.0f*BOLTZ*temperature*stepSize*tau);
    float stepSizeFloat = (float) stepSize;
    float tauDtFloat = (float) tauDt;
    float noiseFloat = (float) noise;
5401
    bool useDouble = cu.getUseDoublePrecision() || cu.getUseMixedPrecision();
5402
5403
5404
5405

    // Call the first integration kernel.

    int randomIndex = integration.prepareRandomNumbers(cu.getPaddedNumAtoms());
5406
    void* args1[] = {&numAtoms, &paddedNumAtoms, useDouble ? (void*) &tauDt : (void*) &tauDtFloat,
5407
            useDouble ? (void*) &noise : (void*) &noiseFloat,
5408
5409
5410
5411
5412
5413
5414
5415
5416
5417
            &cu.getForce().getDevicePointer(), &integration.getPosDelta().getDevicePointer(),
            &cu.getVelm().getDevicePointer(), &integration.getRandom().getDevicePointer(), &randomIndex};
    cu.executeKernel(kernel1, args1, numAtoms);

    // Apply constraints.

    integration.applyConstraints(integrator.getConstraintTolerance());

    // Call the second integration kernel.

5418
    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
5419
    void* args2[] = {&numAtoms, useDouble ? (void*) &stepSize : (void*) &stepSizeFloat,
5420
            &cu.getPosq().getDevicePointer(), &posCorrection, &cu.getVelm().getDevicePointer(), &integration.getPosDelta().getDevicePointer()};
5421
5422
5423
5424
5425
5426
5427
    cu.executeKernel(kernel2, args2, numAtoms);
    integration.computeVirtualSites();

    // Update the time and step count.

    cu.setTime(cu.getTime()+stepSize);
    cu.setStepCount(cu.getStepCount()+1);
5428
    cu.reorderAtoms();
5429
5430
}

5431
5432
5433
5434
double CudaIntegrateBrownianStepKernel::computeKineticEnergy(ContextImpl& context, const BrownianIntegrator& integrator) {
    return cu.getIntegrationUtilities().computeKineticEnergy(0);
}

5435
5436
5437
5438
5439
CudaIntegrateVariableVerletStepKernel::~CudaIntegrateVariableVerletStepKernel() {
}

void CudaIntegrateVariableVerletStepKernel::initialize(const System& system, const VariableVerletIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
5440
    cu.setAsCurrent();
5441
5442
5443
5444
5445
5446
5447
5448
5449
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::verlet, defines, "");
    kernel1 = cu.getKernel(module, "integrateVerletPart1");
    kernel2 = cu.getKernel(module, "integrateVerletPart2");
    selectSizeKernel = cu.getKernel(module, "selectVerletStepSize");
    blockSize = min(256, system.getNumParticles());
}

double CudaIntegrateVariableVerletStepKernel::execute(ContextImpl& context, const VariableVerletIntegrator& integrator, double maxTime) {
5450
    cu.setAsCurrent();
5451
5452
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
5453
    int paddedNumAtoms = cu.getPaddedNumAtoms();
5454
5455
5456
5457
5458
5459
5460

    // Select the step size to use.

    double maxStepSize = maxTime-cu.getTime();
    float maxStepSizeFloat = (float) maxStepSize;
    double tol = integrator.getErrorTolerance();
    float tolFloat = (float) tol;
5461
    bool useDouble = cu.getUseDoublePrecision() || cu.getUseMixedPrecision();
5462
    void* argsSelect[] = {&numAtoms, &paddedNumAtoms, useDouble ? (void*) &maxStepSize : (void*) &maxStepSizeFloat,
5463
            useDouble ? (void*) &tol : (void*) &tolFloat,
5464
5465
            &cu.getIntegrationUtilities().getStepSize().getDevicePointer(),
            &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer()};
5466
    int sharedSize = blockSize*(useDouble ? sizeof(double) : sizeof(float));
5467
5468
5469
5470
    cu.executeKernel(selectSizeKernel, argsSelect, blockSize, blockSize, sharedSize);

    // Call the first integration kernel.

5471
    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
5472
    void* args1[] = {&numAtoms, &paddedNumAtoms, &cu.getIntegrationUtilities().getStepSize().getDevicePointer(), &cu.getPosq().getDevicePointer(), &posCorrection,
5473
5474
5475
5476
5477
5478
5479
5480
5481
            &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer(), &integration.getPosDelta().getDevicePointer()};
    cu.executeKernel(kernel1, args1, numAtoms);

    // Apply constraints.

    integration.applyConstraints(integrator.getConstraintTolerance());

    // Call the second integration kernel.

5482
    void* args2[] = {&numAtoms, &cu.getIntegrationUtilities().getStepSize().getDevicePointer(), &cu.getPosq().getDevicePointer(), &posCorrection,
5483
5484
5485
5486
5487
5488
5489
            &cu.getVelm().getDevicePointer(), &integration.getPosDelta().getDevicePointer()};
    cu.executeKernel(kernel2, args2, numAtoms);
    integration.computeVirtualSites();

    // Update the time and step count.

    double dt, time;
5490
    if (useDouble) {
5491
5492
5493
5494
5495
5496
5497
5498
5499
5500
5501
5502
5503
5504
5505
5506
5507
        double2 stepSize;
        cu.getIntegrationUtilities().getStepSize().download(&stepSize);
        dt = stepSize.y;
        time = cu.getTime()+dt;
        if (dt == maxStepSize)
            time = maxTime; // Avoid round-off error
    }
    else {
        float2 stepSize;
        cu.getIntegrationUtilities().getStepSize().download(&stepSize);
        dt = stepSize.y;
        time = cu.getTime()+dt;
        if (dt == maxStepSizeFloat)
            time = maxTime; // Avoid round-off error
    }
    cu.setTime(time);
    cu.setStepCount(cu.getStepCount()+1);
5508
    cu.reorderAtoms();
5509
5510
5511
    return dt;
}

5512
5513
5514
5515
double CudaIntegrateVariableVerletStepKernel::computeKineticEnergy(ContextImpl& context, const VariableVerletIntegrator& integrator) {
    return cu.getIntegrationUtilities().computeKineticEnergy(0.5*integrator.getStepSize());
}

5516
5517
5518
5519
5520
5521
5522
5523
CudaIntegrateVariableLangevinStepKernel::~CudaIntegrateVariableLangevinStepKernel() {
    cu.setAsCurrent();
    if (params != NULL)
        delete params;
}

void CudaIntegrateVariableLangevinStepKernel::initialize(const System& system, const VariableLangevinIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
5524
    cu.setAsCurrent();
5525
5526
5527
5528
5529
5530
    cu.getIntegrationUtilities().initRandomNumberGenerator(integrator.getRandomNumberSeed());
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::langevin, defines, "");
    kernel1 = cu.getKernel(module, "integrateLangevinPart1");
    kernel2 = cu.getKernel(module, "integrateLangevinPart2");
    selectSizeKernel = cu.getKernel(module, "selectLangevinStepSize");
5531
    params = new CudaArray(cu, 3, cu.getUseDoublePrecision() || cu.getUseMixedPrecision() ? sizeof(double) : sizeof(float), "langevinParams");
5532
5533
5534
5535
5536
    blockSize = min(256, system.getNumParticles());
    blockSize = max(blockSize, params->getSize());
}

double CudaIntegrateVariableLangevinStepKernel::execute(ContextImpl& context, const VariableLangevinIntegrator& integrator, double maxTime) {
5537
    cu.setAsCurrent();
5538
5539
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
5540
    int paddedNumAtoms = cu.getPaddedNumAtoms();
5541
5542
5543
5544
5545
5546
5547
5548
5549
5550
5551

    // Select the step size to use.

    double maxStepSize = maxTime-cu.getTime();
    float maxStepSizeFloat = (float) maxStepSize;
    double tol = integrator.getErrorTolerance();
    float tolFloat = (float) tol;
    double tau = integrator.getFriction() == 0.0 ? 0.0 : 1.0/integrator.getFriction();
    float tauFloat = (float) tau;
    double kT = BOLTZ*integrator.getTemperature();
    float kTFloat = (float) kT;
5552
    bool useDouble = cu.getUseDoublePrecision() || cu.getUseMixedPrecision();
5553
    void* argsSelect[] = {&numAtoms, &paddedNumAtoms, useDouble ? (void*) &maxStepSize : (void*) &maxStepSizeFloat,
5554
5555
5556
            useDouble ? (void*) &tol : (void*) &tolFloat,
            useDouble ? (void*) &tau : (void*) &tauFloat,
            useDouble ? (void*) &kT : (void*) &kTFloat,
5557
5558
            &cu.getIntegrationUtilities().getStepSize().getDevicePointer(),
            &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer(), &params->getDevicePointer()};
5559
    int sharedSize = 2*blockSize*(useDouble ? sizeof(double) : sizeof(float));
5560
5561
5562
5563
5564
    cu.executeKernel(selectSizeKernel, argsSelect, blockSize, blockSize, sharedSize);

    // Call the first integration kernel.

    int randomIndex = integration.prepareRandomNumbers(cu.getPaddedNumAtoms());
5565
    void* args1[] = {&numAtoms, &paddedNumAtoms, &cu.getVelm().getDevicePointer(), &cu.getForce().getDevicePointer(), &integration.getPosDelta().getDevicePointer(),
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            &params->getDevicePointer(), &integration.getStepSize().getDevicePointer(), &integration.getRandom().getDevicePointer(), &randomIndex};
    cu.executeKernel(kernel1, args1, numAtoms);

    // Apply constraints.

    integration.applyConstraints(integrator.getConstraintTolerance());

    // Call the second integration kernel.

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    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
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    void* args2[] = {&numAtoms, &cu.getPosq().getDevicePointer(), &posCorrection, &integration.getPosDelta().getDevicePointer(),
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            &cu.getVelm().getDevicePointer(), &integration.getStepSize().getDevicePointer()};
    cu.executeKernel(kernel2, args2, numAtoms);
    integration.computeVirtualSites();

    // Update the time and step count.

    double dt, time;
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    if (useDouble) {
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        double2 stepSize;
        cu.getIntegrationUtilities().getStepSize().download(&stepSize);
        dt = stepSize.y;
        time = cu.getTime()+dt;
        if (dt == maxStepSize)
            time = maxTime; // Avoid round-off error
    }
    else {
        float2 stepSize;
        cu.getIntegrationUtilities().getStepSize().download(&stepSize);
        dt = stepSize.y;
        time = cu.getTime()+dt;
        if (dt == maxStepSizeFloat)
            time = maxTime; // Avoid round-off error
    }
    cu.setTime(time);
    cu.setStepCount(cu.getStepCount()+1);
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    cu.reorderAtoms();
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    return dt;
}

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double CudaIntegrateVariableLangevinStepKernel::computeKineticEnergy(ContextImpl& context, const VariableLangevinIntegrator& integrator) {
    return cu.getIntegrationUtilities().computeKineticEnergy(0.5*integrator.getStepSize());
}

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class CudaIntegrateCustomStepKernel::ReorderListener : public CudaContext::ReorderListener {
public:
    ReorderListener(CudaContext& cu, CudaParameterSet& perDofValues, vector<vector<float> >& localPerDofValuesFloat, vector<vector<double> >& localPerDofValuesDouble, bool& deviceValuesAreCurrent) :
            cu(cu), perDofValues(perDofValues), localPerDofValuesFloat(localPerDofValuesFloat), localPerDofValuesDouble(localPerDofValuesDouble), deviceValuesAreCurrent(deviceValuesAreCurrent) {
        int numAtoms = cu.getNumAtoms();
        lastAtomOrder.resize(numAtoms);
        for (int i = 0; i < numAtoms; i++)
            lastAtomOrder[i] = cu.getAtomIndex()[i];
    }
    void execute() {
        // Reorder the per-DOF variables to reflect the new atom order.

        if (perDofValues.getNumParameters() == 0)
            return;
        int numAtoms = cu.getNumAtoms();
        const vector<int>& order = cu.getAtomIndex();
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        if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
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            if (deviceValuesAreCurrent)
                perDofValues.getParameterValues(localPerDofValuesDouble);
            vector<vector<double> > swap(3*numAtoms);
            for (int i = 0; i < numAtoms; i++) {
                swap[3*lastAtomOrder[i]] = localPerDofValuesDouble[3*i];
                swap[3*lastAtomOrder[i]+1] = localPerDofValuesDouble[3*i+1];
                swap[3*lastAtomOrder[i]+2] = localPerDofValuesDouble[3*i+2];
            }
            for (int i = 0; i < numAtoms; i++) {
                localPerDofValuesDouble[3*i] = swap[3*order[i]];
                localPerDofValuesDouble[3*i+1] = swap[3*order[i]+1];
                localPerDofValuesDouble[3*i+2] = swap[3*order[i]+2];
            }
            perDofValues.setParameterValues(localPerDofValuesDouble);
        }
        else {
            if (deviceValuesAreCurrent)
                perDofValues.getParameterValues(localPerDofValuesFloat);
            vector<vector<float> > swap(3*numAtoms);
            for (int i = 0; i < numAtoms; i++) {
                swap[3*lastAtomOrder[i]] = localPerDofValuesFloat[3*i];
                swap[3*lastAtomOrder[i]+1] = localPerDofValuesFloat[3*i+1];
                swap[3*lastAtomOrder[i]+2] = localPerDofValuesFloat[3*i+2];
            }
            for (int i = 0; i < numAtoms; i++) {
                localPerDofValuesFloat[3*i] = swap[3*order[i]];
                localPerDofValuesFloat[3*i+1] = swap[3*order[i]+1];
                localPerDofValuesFloat[3*i+2] = swap[3*order[i]+2];
            }
            perDofValues.setParameterValues(localPerDofValuesFloat);
        }
        for (int i = 0; i < numAtoms; i++)
            lastAtomOrder[i] = order[i];
        deviceValuesAreCurrent = true;
    }
private:
    CudaContext& cu;
    CudaParameterSet& perDofValues;
    vector<vector<float> >& localPerDofValuesFloat;
    vector<vector<double> >& localPerDofValuesDouble;
    bool& deviceValuesAreCurrent;
    vector<int> lastAtomOrder;
};

CudaIntegrateCustomStepKernel::~CudaIntegrateCustomStepKernel() {
    cu.setAsCurrent();
    if (globalValues != NULL)
        delete globalValues;
    if (sumBuffer != NULL)
        delete sumBuffer;
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    if (summedValue != NULL)
        delete summedValue;
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    if (uniformRandoms != NULL)
        delete uniformRandoms;
    if (randomSeed != NULL)
        delete randomSeed;
    if (perDofValues != NULL)
        delete perDofValues;
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    for (map<int, CudaArray*>::iterator iter = savedForces.begin(); iter != savedForces.end(); ++iter)
        delete iter->second;
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}

void CudaIntegrateCustomStepKernel::initialize(const System& system, const CustomIntegrator& integrator) {
    cu.getPlatformData().initializeContexts(system);
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    cu.setAsCurrent();
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    cu.getIntegrationUtilities().initRandomNumberGenerator(integrator.getRandomNumberSeed());
    numGlobalVariables = integrator.getNumGlobalVariables();
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    int elementSize = (cu.getUseDoublePrecision() || cu.getUseMixedPrecision() ? sizeof(double) : sizeof(float));
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    sumBuffer = new CudaArray(cu, ((3*system.getNumParticles()+3)/4)*4, elementSize, "sumBuffer");
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    summedValue = new CudaArray(cu, 1, elementSize, "summedValue");
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    perDofValues = new CudaParameterSet(cu, integrator.getNumPerDofVariables(), 3*system.getNumParticles(), "perDofVariables", false, cu.getUseDoublePrecision() || cu.getUseMixedPrecision());
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    cu.addReorderListener(new ReorderListener(cu, *perDofValues, localPerDofValuesFloat, localPerDofValuesDouble, deviceValuesAreCurrent));
    prevStepSize = -1.0;
    SimTKOpenMMUtilities::setRandomNumberSeed(integrator.getRandomNumberSeed());
}

string CudaIntegrateCustomStepKernel::createPerDofComputation(const string& variable, const Lepton::ParsedExpression& expr, int component, CustomIntegrator& integrator, const string& forceName, const string& energyName) {
    const string suffixes[] = {".x", ".y", ".z"};
    string suffix = suffixes[component];
    map<string, Lepton::ParsedExpression> expressions;
    if (variable == "x")
        expressions["position"+suffix+" = "] = expr;
    else if (variable == "v")
        expressions["velocity"+suffix+" = "] = expr;
    else if (variable == "")
        expressions["sum[3*index+"+cu.intToString(component)+"] = "] = expr;
    else {
        for (int i = 0; i < integrator.getNumPerDofVariables(); i++)
            if (variable == integrator.getPerDofVariableName(i))
                expressions["perDof"+suffix.substr(1)+perDofValues->getParameterSuffix(i)+" = "] = expr;
    }
    if (expressions.size() == 0)
        throw OpenMMException("Unknown per-DOF variable: "+variable);
    map<string, string> variables;
    variables["x"] = "position"+suffix;
    variables["v"] = "velocity"+suffix;
    variables[forceName] = "f"+suffix;
    variables["gaussian"] = "gaussian"+suffix;
    variables["uniform"] = "uniform"+suffix;
    variables["m"] = "mass";
    variables["dt"] = "stepSize";
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    if (energyName != "")
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        variables[energyName] = "energy";
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    for (int i = 0; i < integrator.getNumGlobalVariables(); i++)
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        variables[integrator.getGlobalVariableName(i)] = "globals["+cu.intToString(globalVariableIndex[i])+"]";
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    for (int i = 0; i < integrator.getNumPerDofVariables(); i++)
        variables[integrator.getPerDofVariableName(i)] = "perDof"+suffix.substr(1)+perDofValues->getParameterSuffix(i);
    for (int i = 0; i < (int) parameterNames.size(); i++)
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        variables[parameterNames[i]] = "globals["+cu.intToString(parameterVariableIndex[i])+"]";
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    vector<const TabulatedFunction*> functions;
    vector<pair<string, string> > functionNames;
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    return cu.getExpressionUtilities().createExpressions(expressions, variables, functions, functionNames, "temp"+cu.intToString(component)+"_", "double");
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}

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void CudaIntegrateCustomStepKernel::prepareForComputation(ContextImpl& context, CustomIntegrator& integrator, bool& forcesAreValid) {
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    cu.setAsCurrent();
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    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
    int numSteps = integrator.getNumComputations();
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    bool useDouble = cu.getUseDoublePrecision() || cu.getUseMixedPrecision();
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    if (!hasInitializedKernels) {
        hasInitializedKernels = true;
        
        // Initialize various data structures.
        
        const map<string, double>& params = context.getParameters();
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        for (map<string, double>::const_iterator iter = params.begin(); iter != params.end(); ++iter)
            parameterNames.push_back(iter->first);
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        kernels.resize(integrator.getNumComputations());
        kernelArgs.resize(integrator.getNumComputations());
        requiredGaussian.resize(integrator.getNumComputations(), 0);
        requiredUniform.resize(integrator.getNumComputations(), 0);
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        needsGlobals.resize(numSteps, false);
        globalExpressions.resize(numSteps);
        stepType.resize(numSteps);
        stepTarget.resize(numSteps);
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        merged.resize(numSteps, false);
        modifiesParameters = false;
        map<string, string> defines;
        defines["NUM_ATOMS"] = cu.intToString(cu.getNumAtoms());
        defines["PADDED_NUM_ATOMS"] = cu.intToString(cu.getPaddedNumAtoms());
        defines["WORK_GROUP_SIZE"] = cu.intToString(CudaContext::ThreadBlockSize);
        defines["SUM_BUFFER_SIZE"] = "0";
        
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        // Record information about all the computation steps.

        vector<string> variable(numSteps);
        vector<int> forceGroup;
        vector<vector<Lepton::ParsedExpression> > expression;
        CustomIntegratorUtilities::analyzeComputations(context, integrator, expression, comparisons, blockEnd, invalidatesForces, needsForces, needsEnergy, computeBothForceAndEnergy, forceGroup);
        for (int step = 0; step < numSteps; step++) {
            string expr;
            integrator.getComputationStep(step, stepType[step], variable[step], expr);
            if (stepType[step] == CustomIntegrator::BeginWhileBlock)
                blockEnd[blockEnd[step]] = step; // Record where to branch back to.
            if (stepType[step] == CustomIntegrator::ComputeGlobal || stepType[step] == CustomIntegrator::BeginIfBlock || stepType[step] == CustomIntegrator::BeginWhileBlock)
                for (int i = 0; i < (int) expression[step].size(); i++)
                    globalExpressions[step].push_back(expression[step][i].createCompiledExpression());
        }
        for (int step = 0; step < numSteps; step++) {
            for (int i = 0; i < (int) globalExpressions[step].size(); i++)
                expressionSet.registerExpression(globalExpressions[step][i]);
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        }
        
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        // Record the indices for variables in the CompiledExpressionSet.
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        gaussianVariableIndex = expressionSet.getVariableIndex("gaussian");
        uniformVariableIndex = expressionSet.getVariableIndex("uniform");
        dtVariableIndex = expressionSet.getVariableIndex("dt");
        for (int i = 0; i < integrator.getNumGlobalVariables(); i++)
            globalVariableIndex.push_back(expressionSet.getVariableIndex(integrator.getGlobalVariableName(i)));
        for (int i = 0; i < (int) parameterNames.size(); i++)
            parameterVariableIndex.push_back(expressionSet.getVariableIndex(parameterNames[i]));

        // Record the variable names and flags for the force and energy in each step.

        forceGroupFlags.resize(numSteps, -1);
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        vector<string> forceGroupName;
        vector<string> energyGroupName;
        for (int i = 0; i < 32; i++) {
            stringstream fname;
            fname << "f" << i;
            forceGroupName.push_back(fname.str());
            stringstream ename;
            ename << "energy" << i;
            energyGroupName.push_back(ename.str());
        }
        vector<string> forceName(numSteps, "f");
        vector<string> energyName(numSteps, "energy");
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        stepEnergyVariableIndex.resize(numSteps, expressionSet.getVariableIndex("energy"));
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        for (int step = 0; step < numSteps; step++) {
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            if (needsForces[step] && forceGroup[step] > -1)
                forceName[step] = forceGroupName[forceGroup[step]];
            if (needsEnergy[step] && forceGroup[step] > -1) {
                energyName[step] = energyGroupName[forceGroup[step]];
                stepEnergyVariableIndex[step] = expressionSet.getVariableIndex(energyName[step]);
            }
            if (forceGroup[step] > -1)
                forceGroupFlags[step] = 1<<forceGroup[step];
            if (forceGroupFlags[step] == -2 && step > 0)
                forceGroupFlags[step] = forceGroupFlags[step-1];
            if (forceGroupFlags[step] != -2 && savedForces.find(forceGroupFlags[step]) == savedForces.end())
                savedForces[forceGroupFlags[step]] = new CudaArray(cu, cu.getForce().getSize(), cu.getForce().getElementSize(), "savedForces");
        }
        
        // Allocate space for storing global values, both on the host and the device.
        
        globalValuesFloat.resize(expressionSet.getNumVariables());
        globalValuesDouble.resize(expressionSet.getNumVariables());
        int elementSize = (cu.getUseDoublePrecision() || cu.getUseMixedPrecision() ? sizeof(double) : sizeof(float));
        globalValues = new CudaArray(cu, expressionSet.getNumVariables(), elementSize, "globalValues");
        for (int i = 0; i < integrator.getNumGlobalVariables(); i++) {
            globalValuesDouble[globalVariableIndex[i]] = initialGlobalVariables[i];
            expressionSet.setVariable(globalVariableIndex[i], initialGlobalVariables[i]);
        }
        for (int i = 0; i < (int) parameterVariableIndex.size(); i++) {
            double value = context.getParameter(parameterNames[i]);
            globalValuesDouble[parameterVariableIndex[i]] = value;
            expressionSet.setVariable(parameterVariableIndex[i], value);
        }
        
        // Record information about the targets of steps that will be stored in global variables.
        
        for (int step = 0; step < numSteps; step++) {
            if (stepType[step] == CustomIntegrator::ComputeGlobal || stepType[step] == CustomIntegrator::ComputeSum) {
                if (variable[step] == "dt")
                    stepTarget[step].type = DT;
                for (int i = 0; i < integrator.getNumGlobalVariables(); i++)
                    if (variable[step] == integrator.getGlobalVariableName(i))
                        stepTarget[step].type = VARIABLE;
                for (int i = 0; i < (int) parameterNames.size(); i++)
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                    if (variable[step] == parameterNames[i]) {
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                        stepTarget[step].type = PARAMETER;
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                        modifiesParameters = true;
                    }
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                stepTarget[step].variableIndex = expressionSet.getVariableIndex(variable[step]);
            }
        }

        // Identify which per-DOF steps are going to require global variables or context parameters.

        for (int step = 0; step < numSteps; step++) {
            if (stepType[step] == CustomIntegrator::ComputePerDof || stepType[step] == CustomIntegrator::ComputeSum) {
                for (int i = 0; i < integrator.getNumGlobalVariables(); i++)
                    if (usesVariable(expression[step][0], integrator.getGlobalVariableName(i)))
                        needsGlobals[step] = true;
                for (int i = 0; i < (int) parameterNames.size(); i++)
                    if (usesVariable(expression[step][0], parameterNames[i]))
                        needsGlobals[step] = true;
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            }
        }
        
        // Determine how each step will represent the position (as just a value, or a value plus a delta).
        
        vector<bool> storePosAsDelta(numSteps, false);
        vector<bool> loadPosAsDelta(numSteps, false);
        bool beforeConstrain = false;
        for (int step = numSteps-1; step >= 0; step--) {
            if (stepType[step] == CustomIntegrator::ConstrainPositions)
                beforeConstrain = true;
            else if (stepType[step] == CustomIntegrator::ComputePerDof && variable[step] == "x" && beforeConstrain)
                storePosAsDelta[step] = true;
        }
        bool storedAsDelta = false;
        for (int step = 0; step < numSteps; step++) {
            loadPosAsDelta[step] = storedAsDelta;
            if (storePosAsDelta[step] == true)
                storedAsDelta = true;
            if (stepType[step] == CustomIntegrator::ConstrainPositions)
                storedAsDelta = false;
        }
        
        // Identify steps that can be merged into a single kernel.
        
        for (int step = 1; step < numSteps; step++) {
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            if (invalidatesForces[step] || ((needsForces[step] || needsEnergy[step]) && forceGroupFlags[step] != forceGroupFlags[step-1]))
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                continue;
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            if (stepType[step-1] == CustomIntegrator::ComputePerDof && stepType[step] == CustomIntegrator::ComputePerDof)
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                merged[step] = true;
        }
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        for (int step = numSteps-1; step > 0; step--)
            if (merged[step]) {
                needsForces[step-1] = (needsForces[step] || needsForces[step-1]);
                needsEnergy[step-1] = (needsEnergy[step] || needsEnergy[step-1]);
                needsGlobals[step-1] = (needsGlobals[step] || needsGlobals[step-1]);
            }
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        // Loop over all steps and create the kernels for them.
        
        for (int step = 0; step < numSteps; step++) {
            if ((stepType[step] == CustomIntegrator::ComputePerDof || stepType[step] == CustomIntegrator::ComputeSum) && !merged[step]) {
                // Compute a per-DOF value.
                
                stringstream compute;
                for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++) {
                    CudaNonbondedUtilities::ParameterInfo& buffer = perDofValues->getBuffers()[i];
                    compute << buffer.getType()<<" perDofx"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index];\n";
                    compute << buffer.getType()<<" perDofy"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index+1];\n";
                    compute << buffer.getType()<<" perDofz"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index+2];\n";
                }
                int numGaussian = 0, numUniform = 0;
                for (int j = step; j < numSteps && (j == step || merged[j]); j++) {
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                    numGaussian += numAtoms*usesVariable(expression[j][0], "gaussian");
                    numUniform += numAtoms*usesVariable(expression[j][0], "uniform");
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                    compute << "{\n";
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                    if (numGaussian > 0)
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                        compute << "float4 gaussian = gaussianValues[gaussianIndex+index];\n";
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                    if (numUniform > 0)
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                        compute << "float4 uniform = uniformValues[uniformIndex+index];\n";
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                    for (int i = 0; i < 3; i++)
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                        compute << createPerDofComputation(stepType[j] == CustomIntegrator::ComputePerDof ? variable[j] : "", expression[j][0], i, integrator, forceName[j], energyName[j]);
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                    if (variable[j] == "x") {
                        if (storePosAsDelta[j])
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                            compute << "posDelta[index] = convertFromDouble4(position-convertToDouble4(loadPos(posq, posqCorrection, index)));\n";
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                        else
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                            compute << "storePos(posq, posqCorrection, index, convertFromDouble4(position));\n";
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                    }
                    else if (variable[j] == "v")
                        compute << "velm[index] = convertFromDouble4(velocity);\n";
                    else {
                        for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++) {
                            CudaNonbondedUtilities::ParameterInfo& buffer = perDofValues->getBuffers()[i];
                            compute << "perDofValues"<<cu.intToString(i+1)<<"[3*index] = perDofx"<<cu.intToString(i+1)<<";\n";
                            compute << "perDofValues"<<cu.intToString(i+1)<<"[3*index+1] = perDofy"<<cu.intToString(i+1)<<";\n";
                            compute << "perDofValues"<<cu.intToString(i+1)<<"[3*index+2] = perDofz"<<cu.intToString(i+1)<<";\n";
                        }
                    }
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                    if (numGaussian > 0)
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                        compute << "gaussianIndex += NUM_ATOMS;\n";
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                    if (numUniform > 0)
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                        compute << "uniformIndex += NUM_ATOMS;\n";
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                    compute << "}\n";
                }
                map<string, string> replacements;
                replacements["COMPUTE_STEP"] = compute.str();
                stringstream args;
                for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++) {
                    CudaNonbondedUtilities::ParameterInfo& buffer = perDofValues->getBuffers()[i];
                    string valueName = "perDofValues"+cu.intToString(i+1);
                    args << ", " << buffer.getType() << "* __restrict__ " << valueName;
                }
                replacements["PARAMETER_ARGUMENTS"] = args.str();
                if (loadPosAsDelta[step])
                    defines["LOAD_POS_AS_DELTA"] = "1";
                else if (defines.find("LOAD_POS_AS_DELTA") != defines.end())
                    defines.erase("LOAD_POS_AS_DELTA");
                CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::vectorOps+CudaKernelSources::customIntegratorPerDof, replacements), defines);
                CUfunction kernel = cu.getKernel(module, "computePerDof");
                kernels[step].push_back(kernel);
                requiredGaussian[step] = numGaussian;
                requiredUniform[step] = numUniform;
                vector<void*> args1;
                args1.push_back(&cu.getPosq().getDevicePointer());
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                args1.push_back(NULL);
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                args1.push_back(&integration.getPosDelta().getDevicePointer());
                args1.push_back(&cu.getVelm().getDevicePointer());
                args1.push_back(&cu.getForce().getDevicePointer());
                args1.push_back(&integration.getStepSize().getDevicePointer());
                args1.push_back(&globalValues->getDevicePointer());
                args1.push_back(&sumBuffer->getDevicePointer());
                args1.push_back(NULL);
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                args1.push_back(NULL);
                args1.push_back(NULL);
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                if (cu.getUseDoublePrecision())
                    args1.push_back(&energy);
                else
                    args1.push_back(&energyFloat);
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                for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++)
                    args1.push_back(&perDofValues->getBuffers()[i].getMemory());
                kernelArgs[step].push_back(args1);
                if (stepType[step] == CustomIntegrator::ComputeSum) {
                    // Create a second kernel for this step that sums the values.

                    vector<void*> args2;
                    args2.push_back(&sumBuffer->getDevicePointer());
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                    args2.push_back(&summedValue->getDevicePointer());
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                    defines["SUM_BUFFER_SIZE"] = cu.intToString(3*numAtoms);
                    module = cu.createModule(CudaKernelSources::customIntegrator, defines);
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                    kernel = cu.getKernel(module, useDouble ? "computeDoubleSum" : "computeFloatSum");
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                    kernels[step].push_back(kernel);
                    kernelArgs[step].push_back(args2);
                }
            }
            else if (stepType[step] == CustomIntegrator::ConstrainPositions) {
                // Apply position constraints.

                CUmodule module = cu.createModule(CudaKernelSources::customIntegrator, defines);
                CUfunction kernel = cu.getKernel(module, "applyPositionDeltas");
                kernels[step].push_back(kernel);
                vector<void*> args;
                args.push_back(&cu.getPosq().getDevicePointer());
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                args.push_back(NULL);
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                args.push_back(&integration.getPosDelta().getDevicePointer());
                kernelArgs[step].push_back(args);
            }
        }
        
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        // Initialize the random number generator.
        
        int maxUniformRandoms = 1;
        for (int i = 0; i < (int) requiredUniform.size(); i++)
            maxUniformRandoms = max(maxUniformRandoms, requiredUniform[i]);
        uniformRandoms = CudaArray::create<float4>(cu, maxUniformRandoms, "uniformRandoms");
        randomSeed = CudaArray::create<int4>(cu, cu.getNumThreadBlocks()*CudaContext::ThreadBlockSize, "randomSeed");
        vector<int4> seed(randomSeed->getSize());
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        int rseed = integrator.getRandomNumberSeed();
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        // A random seed of 0 means use a unique one
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        if (rseed == 0)
            rseed = osrngseed();
        unsigned int r = (unsigned int) (rseed+1);
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        for (int i = 0; i < randomSeed->getSize(); i++) {
            seed[i].x = r = (1664525*r + 1013904223) & 0xFFFFFFFF;
            seed[i].y = r = (1664525*r + 1013904223) & 0xFFFFFFFF;
            seed[i].z = r = (1664525*r + 1013904223) & 0xFFFFFFFF;
            seed[i].w = r = (1664525*r + 1013904223) & 0xFFFFFFFF;
        }
        randomSeed->upload(seed);
        CUmodule randomProgram = cu.createModule(CudaKernelSources::customIntegrator, defines);
        randomKernel = cu.getKernel(randomProgram, "generateRandomNumbers");
        
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        // Create the kernel for computing kinetic energy.

        stringstream computeKE;
        for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++) {
            const CudaNonbondedUtilities::ParameterInfo& buffer = perDofValues->getBuffers()[i];
            computeKE << buffer.getType()<<" perDofx"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index];\n";
            computeKE << buffer.getType()<<" perDofy"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index+1];\n";
            computeKE << buffer.getType()<<" perDofz"<<cu.intToString(i+1)<<" = perDofValues"<<cu.intToString(i+1)<<"[3*index+2];\n";
        }
        Lepton::ParsedExpression keExpression = Lepton::Parser::parse(integrator.getKineticEnergyExpression()).optimize();
        for (int i = 0; i < 3; i++)
            computeKE << createPerDofComputation("", keExpression, i, integrator, "f", "");
        map<string, string> replacements;
        replacements["COMPUTE_STEP"] = computeKE.str();
        stringstream args;
        for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++) {
            const CudaNonbondedUtilities::ParameterInfo& buffer = perDofValues->getBuffers()[i];
            string valueName = "perDofValues"+cu.intToString(i+1);
            args << ", " << buffer.getType() << "* __restrict__ " << valueName;
        }
        replacements["PARAMETER_ARGUMENTS"] = args.str();
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        defines["SUM_BUFFER_SIZE"] = cu.intToString(3*numAtoms);
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        if (defines.find("LOAD_POS_AS_DELTA") != defines.end())
            defines.erase("LOAD_POS_AS_DELTA");
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        CUmodule module = cu.createModule(cu.replaceStrings(CudaKernelSources::customIntegratorPerDof, replacements), defines);
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        kineticEnergyKernel = cu.getKernel(module, "computePerDof");
        kineticEnergyArgs.push_back(&cu.getPosq().getDevicePointer());
        kineticEnergyArgs.push_back(NULL);
        kineticEnergyArgs.push_back(&integration.getPosDelta().getDevicePointer());
        kineticEnergyArgs.push_back(&cu.getVelm().getDevicePointer());
        kineticEnergyArgs.push_back(&cu.getForce().getDevicePointer());
        kineticEnergyArgs.push_back(&integration.getStepSize().getDevicePointer());
        kineticEnergyArgs.push_back(&globalValues->getDevicePointer());
        kineticEnergyArgs.push_back(&sumBuffer->getDevicePointer());
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        kineticEnergyArgs.push_back(NULL);
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        kineticEnergyArgs.push_back(NULL);
        kineticEnergyArgs.push_back(&uniformRandoms->getDevicePointer());
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        if (cu.getUseDoublePrecision())
            kineticEnergyArgs.push_back(&energy);
        else
            kineticEnergyArgs.push_back(&energyFloat);
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        for (int i = 0; i < (int) perDofValues->getBuffers().size(); i++)
            kineticEnergyArgs.push_back(&perDofValues->getBuffers()[i].getMemory());
        keNeedsForce = usesVariable(keExpression, "f");

        // Create a second kernel to sum the values.

        defines["SUM_BUFFER_SIZE"] = cu.intToString(3*numAtoms);
        module = cu.createModule(CudaKernelSources::customIntegrator, defines);
        sumKineticEnergyKernel = cu.getKernel(module, useDouble ? "computeDoubleSum" : "computeFloatSum");
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    }
    
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    // Make sure all values (variables, parameters, etc.) are up to date.
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    if (!deviceValuesAreCurrent) {
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        if (useDouble)
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            perDofValues->setParameterValues(localPerDofValuesDouble);
        else
            perDofValues->setParameterValues(localPerDofValuesFloat);
        deviceValuesAreCurrent = true;
    }
    localValuesAreCurrent = false;
    double stepSize = integrator.getStepSize();
    if (stepSize != prevStepSize) {
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        recordGlobalValue(stepSize, GlobalTarget(DT, dtVariableIndex));
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    }
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    for (int i = 0; i < (int) parameterNames.size(); i++) {
        double value = context.getParameter(parameterNames[i]);
        if (value != globalValuesDouble[parameterVariableIndex[i]]) {
            globalValuesDouble[parameterVariableIndex[i]] = value;
            deviceGlobalsAreCurrent = false;
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        }
    }
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}

void CudaIntegrateCustomStepKernel::execute(ContextImpl& context, CustomIntegrator& integrator, bool& forcesAreValid) {
    prepareForComputation(context, integrator, forcesAreValid);
    CudaIntegrationUtilities& integration = cu.getIntegrationUtilities();
    int numAtoms = cu.getNumAtoms();
    int numSteps = integrator.getNumComputations();
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    // Loop over computation steps in the integrator and execute them.

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    int maxUniformRandoms = uniformRandoms->getSize();
    void* randomArgs[] = {&maxUniformRandoms, &uniformRandoms->getDevicePointer(), &randomSeed->getDevicePointer()};
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    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
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    for (int step = 0; step < numSteps; ) {
        int nextStep = step+1;
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        int lastForceGroups = context.getLastForceGroups();
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        if ((needsForces[step] || needsEnergy[step]) && (!forcesAreValid || lastForceGroups != forceGroupFlags[step])) {
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            if (forcesAreValid && savedForces.find(lastForceGroups) != savedForces.end()) {
                // The forces are still valid.  We just need a different force group right now.  Save the old
                // forces in case we need them again.
                
                cu.getForce().copyTo(*savedForces[lastForceGroups]);
                validSavedForces.insert(lastForceGroups);
            }
            else
                validSavedForces.clear();
            
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            // Recompute forces and/or energy.  Figure out what is actually needed
            // between now and the next time they get invalidated again.
            
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            bool computeForce = (needsForces[step] || computeBothForceAndEnergy[step]);
            bool computeEnergy = (needsEnergy[step] || computeBothForceAndEnergy[step]);
            if (!computeEnergy && validSavedForces.find(forceGroupFlags[step]) != validSavedForces.end()) {
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                // We can just restore the forces we saved earlier.
                
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                savedForces[forceGroupFlags[step]]->copyTo(cu.getForce());
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            }
            else {
                recordChangedParameters(context);
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                energy = context.calcForcesAndEnergy(computeForce, computeEnergy, forceGroupFlags[step]);
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                energyFloat = (float) energy;
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            }
            forcesAreValid = true;
        }
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        if (needsGlobals[step] && !deviceGlobalsAreCurrent) {
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            // Upload the global values to the device.
            
            if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision())
                globalValues->upload(globalValuesDouble);
            else {
                for (int j = 0; j < (int) globalValuesDouble.size(); j++)
                    globalValuesFloat[j] = (float) globalValuesDouble[j];
                globalValues->upload(globalValuesFloat);
            }
        }
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        if (stepType[step] == CustomIntegrator::ComputePerDof && !merged[step]) {
            int randomIndex = integration.prepareRandomNumbers(requiredGaussian[step]);
            kernelArgs[step][0][1] = &posCorrection;
            kernelArgs[step][0][8] = &integration.getRandom().getDevicePointer();
            kernelArgs[step][0][9] = &randomIndex;
            kernelArgs[step][0][10] = &uniformRandoms->getDevicePointer();
            if (requiredUniform[step] > 0)
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                cu.executeKernel(randomKernel, &randomArgs[0], numAtoms);
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            cu.executeKernel(kernels[step][0], &kernelArgs[step][0][0], numAtoms);
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        }
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        else if (stepType[step] == CustomIntegrator::ComputeGlobal) {
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            expressionSet.setVariable(uniformVariableIndex, SimTKOpenMMUtilities::getUniformlyDistributedRandomNumber());
            expressionSet.setVariable(gaussianVariableIndex, SimTKOpenMMUtilities::getNormallyDistributedRandomNumber());
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            expressionSet.setVariable(stepEnergyVariableIndex[step], energy);
            recordGlobalValue(globalExpressions[step][0].evaluate(), stepTarget[step]);
        }
        else if (stepType[step] == CustomIntegrator::ComputeSum) {
            int randomIndex = integration.prepareRandomNumbers(requiredGaussian[step]);
            kernelArgs[step][0][1] = &posCorrection;
            kernelArgs[step][0][8] = &integration.getRandom().getDevicePointer();
            kernelArgs[step][0][9] = &randomIndex;
            kernelArgs[step][0][10] = &uniformRandoms->getDevicePointer();
            if (requiredUniform[step] > 0)
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                cu.executeKernel(randomKernel, &randomArgs[0], numAtoms);
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            cu.clearBuffer(*sumBuffer);
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            cu.executeKernel(kernels[step][0], &kernelArgs[step][0][0], numAtoms);
            cu.executeKernel(kernels[step][1], &kernelArgs[step][1][0], CudaContext::ThreadBlockSize, CudaContext::ThreadBlockSize);
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            if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
                double value;
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                summedValue->download(&value);
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                globalValuesDouble[stepTarget[step].variableIndex] = value;
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            }
            else {
                float value;
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                summedValue->download(&value);
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                globalValuesDouble[stepTarget[step].variableIndex] = value;
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            }
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        }
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        else if (stepType[step] == CustomIntegrator::UpdateContextState) {
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            recordChangedParameters(context);
            context.updateContextState();
        }
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        else if (stepType[step] == CustomIntegrator::ConstrainPositions) {
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            cu.getIntegrationUtilities().applyConstraints(integrator.getConstraintTolerance());
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            kernelArgs[step][0][1] = &posCorrection;
            cu.executeKernel(kernels[step][0], &kernelArgs[step][0][0], numAtoms);
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            cu.getIntegrationUtilities().computeVirtualSites();
        }
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        else if (stepType[step] == CustomIntegrator::ConstrainVelocities) {
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            cu.getIntegrationUtilities().applyVelocityConstraints(integrator.getConstraintTolerance());
        }
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        else if (stepType[step] == CustomIntegrator::BeginIfBlock) {
            if (!evaluateCondition(step))
                nextStep = blockEnd[step]+1;
        }
        else if (stepType[step] == CustomIntegrator::BeginWhileBlock) {
            if (!evaluateCondition(step))
                nextStep = blockEnd[step]+1;
        }
        else if (stepType[step] == CustomIntegrator::EndBlock) {
            if (blockEnd[step] != -1)
                nextStep = blockEnd[step]; // Return to the start of a while block.
        }
        if (invalidatesForces[step])
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            forcesAreValid = false;
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        step = nextStep;
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    }
    recordChangedParameters(context);

    // Update the time and step count.

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    cu.setTime(cu.getTime()+integrator.getStepSize());
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    cu.setStepCount(cu.getStepCount()+1);
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    cu.reorderAtoms();
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    if (cu.getAtomsWereReordered()) {
        forcesAreValid = false;
        validSavedForces.clear();
    }
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}

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bool CudaIntegrateCustomStepKernel::evaluateCondition(int step) {
    expressionSet.setVariable(uniformVariableIndex, SimTKOpenMMUtilities::getUniformlyDistributedRandomNumber());
    expressionSet.setVariable(gaussianVariableIndex, SimTKOpenMMUtilities::getNormallyDistributedRandomNumber());
    expressionSet.setVariable(stepEnergyVariableIndex[step], energy);
    double lhs = globalExpressions[step][0].evaluate();
    double rhs = globalExpressions[step][1].evaluate();
    switch (comparisons[step]) {
        case CustomIntegratorUtilities::EQUAL:
            return (lhs == rhs);
        case CustomIntegratorUtilities::LESS_THAN:
            return (lhs < rhs);
        case CustomIntegratorUtilities::GREATER_THAN:
            return (lhs > rhs);
        case CustomIntegratorUtilities::NOT_EQUAL:
            return (lhs != rhs);
        case CustomIntegratorUtilities::LESS_THAN_OR_EQUAL:
            return (lhs <= rhs);
        case CustomIntegratorUtilities::GREATER_THAN_OR_EQUAL:
            return (lhs >= rhs);
    }
    throw OpenMMException("Invalid comparison operator");
}

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double CudaIntegrateCustomStepKernel::computeKineticEnergy(ContextImpl& context, CustomIntegrator& integrator, bool& forcesAreValid) {
    prepareForComputation(context, integrator, forcesAreValid);
    if (keNeedsForce && !forcesAreValid) {
        // Compute the force.  We want to then mark that forces are valid, which means also computing
        // potential energy if any steps will expect it to be valid too.
        
        bool willNeedEnergy = false;
        for (int i = 0; i < integrator.getNumComputations(); i++)
            willNeedEnergy |= needsEnergy[i];
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        energy = context.calcForcesAndEnergy(true, willNeedEnergy, -1);
        energyFloat = (float) energy;
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        forcesAreValid = true;
    }
    CUdeviceptr posCorrection = (cu.getUseMixedPrecision() ? cu.getPosqCorrection().getDevicePointer() : 0);
    int randomIndex = 0;
    kineticEnergyArgs[1] = &posCorrection;
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    kineticEnergyArgs[8] = &cu.getIntegrationUtilities().getRandom().getDevicePointer();
    kineticEnergyArgs[9] = &randomIndex;
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    cu.clearBuffer(*sumBuffer);
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    cu.executeKernel(kineticEnergyKernel, &kineticEnergyArgs[0], cu.getNumAtoms());
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    void* args[] = {&sumBuffer->getDevicePointer(), &summedValue->getDevicePointer()};
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    cu.executeKernel(sumKineticEnergyKernel, args, CudaContext::ThreadBlockSize, CudaContext::ThreadBlockSize);
    if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
        double ke;
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        summedValue->download(&ke);
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        return ke;
    }
    else {
        float ke;
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        summedValue->download(&ke);
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        return ke;
    }
}

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void CudaIntegrateCustomStepKernel::recordGlobalValue(double value, GlobalTarget target) {
    switch (target.type) {
        case DT:
            globalValuesDouble[dtVariableIndex] = value;
            deviceGlobalsAreCurrent = false;
            if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
                double size[] = {0, value};
                cu.getIntegrationUtilities().getStepSize().upload(size);
            }
            else {
                float size[] = {0, (float) value};
                cu.getIntegrationUtilities().getStepSize().upload(size);
            }
            prevStepSize = value;
            break;
        case VARIABLE:
        case PARAMETER:
            expressionSet.setVariable(target.variableIndex, value);
            globalValuesDouble[target.variableIndex] = value;
            deviceGlobalsAreCurrent = false;
            break;
    }
}

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void CudaIntegrateCustomStepKernel::recordChangedParameters(ContextImpl& context) {
    if (!modifiesParameters)
        return;
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    for (int i = 0; i < (int) parameterNames.size(); i++) {
        double value = context.getParameter(parameterNames[i]);
        if (value != globalValuesDouble[parameterVariableIndex[i]])
            context.setParameter(parameterNames[i], globalValuesDouble[parameterVariableIndex[i]]);
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    }
}

void CudaIntegrateCustomStepKernel::getGlobalVariables(ContextImpl& context, vector<double>& values) const {
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    if (globalValues == NULL) {
        // The data structures haven't been created yet, so just return the list of values that was given earlier.
        
        values = initialGlobalVariables;
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    }
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    values.resize(numGlobalVariables);
    for (int i = 0; i < numGlobalVariables; i++)
        values[i] = globalValuesDouble[globalVariableIndex[i]];
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}

void CudaIntegrateCustomStepKernel::setGlobalVariables(ContextImpl& context, const vector<double>& values) {
    if (numGlobalVariables == 0)
        return;
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    if (globalValues == NULL) {
        // The data structures haven't been created yet, so just store the list of values.
        
        initialGlobalVariables = values;
        return;
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    }
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    for (int i = 0; i < numGlobalVariables; i++) {
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        globalValuesDouble[globalVariableIndex[i]] = values[i];
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        expressionSet.setVariable(globalVariableIndex[i], values[i]);
    }
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    deviceGlobalsAreCurrent = false;
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}

void CudaIntegrateCustomStepKernel::getPerDofVariable(ContextImpl& context, int variable, vector<Vec3>& values) const {
    values.resize(perDofValues->getNumObjects()/3);
    const vector<int>& order = cu.getAtomIndex();
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    if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
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        if (!localValuesAreCurrent) {
            perDofValues->getParameterValues(localPerDofValuesDouble);
            localValuesAreCurrent = true;
        }
        for (int i = 0; i < (int) values.size(); i++)
            for (int j = 0; j < 3; j++)
                values[order[i]][j] = localPerDofValuesDouble[3*i+j][variable];
    }
    else {
        if (!localValuesAreCurrent) {
            perDofValues->getParameterValues(localPerDofValuesFloat);
            localValuesAreCurrent = true;
        }
        for (int i = 0; i < (int) values.size(); i++)
            for (int j = 0; j < 3; j++)
                values[order[i]][j] = localPerDofValuesFloat[3*i+j][variable];
    }
}

void CudaIntegrateCustomStepKernel::setPerDofVariable(ContextImpl& context, int variable, const vector<Vec3>& values) {
    const vector<int>& order = cu.getAtomIndex();
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    if (cu.getUseDoublePrecision() || cu.getUseMixedPrecision()) {
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        if (!localValuesAreCurrent) {
            perDofValues->getParameterValues(localPerDofValuesDouble);
            localValuesAreCurrent = true;
        }
        for (int i = 0; i < (int) values.size(); i++)
            for (int j = 0; j < 3; j++)
                localPerDofValuesDouble[3*i+j][variable] = values[order[i]][j];
    }
    else {
        if (!localValuesAreCurrent) {
            perDofValues->getParameterValues(localPerDofValuesFloat);
            localValuesAreCurrent = true;
        }
        for (int i = 0; i < (int) values.size(); i++)
            for (int j = 0; j < 3; j++)
                localPerDofValuesFloat[3*i+j][variable] = (float) values[order[i]][j];
    }
    deviceValuesAreCurrent = false;
}
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CudaApplyAndersenThermostatKernel::~CudaApplyAndersenThermostatKernel() {
    cu.setAsCurrent();
    if (atomGroups != NULL)
        delete atomGroups;
}

void CudaApplyAndersenThermostatKernel::initialize(const System& system, const AndersenThermostat& thermostat) {
    cu.setAsCurrent();
    randomSeed = thermostat.getRandomNumberSeed();
    map<string, string> defines;
    CUmodule module = cu.createModule(CudaKernelSources::andersenThermostat, defines);
    kernel = cu.getKernel(module, "applyAndersenThermostat");
    cu.getIntegrationUtilities().initRandomNumberGenerator(randomSeed);

    // Create the arrays with the group definitions.

    vector<vector<int> > groups = AndersenThermostatImpl::calcParticleGroups(system);
    atomGroups = CudaArray::create<int>(cu, cu.getNumAtoms(), "atomGroups");
    vector<int> atoms(atomGroups->getSize());
    for (int i = 0; i < (int) groups.size(); i++) {
        for (int j = 0; j < (int) groups[i].size(); j++)
            atoms[groups[i][j]] = i;
    }
    atomGroups->upload(atoms);
}

void CudaApplyAndersenThermostatKernel::execute(ContextImpl& context) {
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    cu.setAsCurrent();
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    float frequency = (float) context.getParameter(AndersenThermostat::CollisionFrequency());
    float kT = (float) (BOLTZ*context.getParameter(AndersenThermostat::Temperature()));
    int randomIndex = cu.getIntegrationUtilities().prepareRandomNumbers(cu.getPaddedNumAtoms());
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    int numAtoms = cu.getNumAtoms();
    void* args[] = {&numAtoms, &frequency, &kT, &cu.getVelm().getDevicePointer(), &cu.getIntegrationUtilities().getStepSize().getDevicePointer(),
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            &cu.getIntegrationUtilities().getRandom().getDevicePointer(), &randomIndex, &atomGroups->getDevicePointer()};
    cu.executeKernel(kernel, args, cu.getNumAtoms());
}

CudaApplyMonteCarloBarostatKernel::~CudaApplyMonteCarloBarostatKernel() {
    cu.setAsCurrent();
    if (savedPositions != NULL)
        delete savedPositions;
    if (moleculeAtoms != NULL)
        delete moleculeAtoms;
    if (moleculeStartIndex != NULL)
        delete moleculeStartIndex;
}

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void CudaApplyMonteCarloBarostatKernel::initialize(const System& system, const Force& thermostat) {
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    cu.setAsCurrent();
    savedPositions = new CudaArray(cu, cu.getPaddedNumAtoms(), cu.getUseDoublePrecision() ? sizeof(double4) : sizeof(float4), "savedPositions");
    CUmodule module = cu.createModule(CudaKernelSources::monteCarloBarostat);
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    kernel = cu.getKernel(module, "scalePositions");
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}

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void CudaApplyMonteCarloBarostatKernel::scaleCoordinates(ContextImpl& context, double scaleX, double scaleY, double scaleZ) {
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    cu.setAsCurrent();
    if (!hasInitializedKernels) {
        hasInitializedKernels = true;

        // Create the arrays with the molecule definitions.

        vector<vector<int> > molecules = context.getMolecules();
        numMolecules = molecules.size();
        moleculeAtoms = CudaArray::create<int>(cu, cu.getNumAtoms(), "moleculeAtoms");
        moleculeStartIndex = CudaArray::create<int>(cu, numMolecules+1, "moleculeStartIndex");
        vector<int> atoms(moleculeAtoms->getSize());
        vector<int> startIndex(moleculeStartIndex->getSize());
        int index = 0;
        for (int i = 0; i < numMolecules; i++) {
            startIndex[i] = index;
            for (int j = 0; j < (int) molecules[i].size(); j++)
                atoms[index++] = molecules[i][j];
        }
        startIndex[numMolecules] = index;
        moleculeAtoms->upload(atoms);
        moleculeStartIndex->upload(startIndex);

        // Initialize the kernel arguments.
        
    }
    int bytesToCopy = cu.getPosq().getSize()*(cu.getUseDoublePrecision() ? sizeof(double4) : sizeof(float4));
    CUresult result = cuMemcpyDtoD(savedPositions->getDevicePointer(), cu.getPosq().getDevicePointer(), bytesToCopy);
    if (result != CUDA_SUCCESS) {
        std::stringstream m;
        m<<"Error saving positions for MC barostat: "<<cu.getErrorString(result)<<" ("<<result<<")";
        throw OpenMMException(m.str());
    }        
    float scalefX = (float) scaleX;
    float scalefY = (float) scaleY;
    float scalefZ = (float) scaleZ;
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    void* args[] = {&scalefX, &scalefY, &scalefZ, &numMolecules, cu.getPeriodicBoxSizePointer(), cu.getInvPeriodicBoxSizePointer(),
                    cu.getPeriodicBoxVecXPointer(), cu.getPeriodicBoxVecYPointer(), cu.getPeriodicBoxVecZPointer(),
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		    &cu.getPosq().getDevicePointer(), &moleculeAtoms->getDevicePointer(), &moleculeStartIndex->getDevicePointer()};
    cu.executeKernel(kernel, args, cu.getNumAtoms());
    for (int i = 0; i < (int) cu.getPosCellOffsets().size(); i++)
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        cu.getPosCellOffsets()[i] = make_int4(0, 0, 0, 0);
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    lastAtomOrder = cu.getAtomIndex();
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}

void CudaApplyMonteCarloBarostatKernel::restoreCoordinates(ContextImpl& context) {
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    cu.setAsCurrent();
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    int bytesToCopy = cu.getPosq().getSize()*(cu.getUseDoublePrecision() ? sizeof(double4) : sizeof(float4));
    CUresult result = cuMemcpyDtoD(cu.getPosq().getDevicePointer(), savedPositions->getDevicePointer(), bytesToCopy);
    if (result != CUDA_SUCCESS) {
        std::stringstream m;
        m<<"Error restoring positions for MC barostat: "<<cu.getErrorString(result)<<" ("<<result<<")";
        throw OpenMMException(m.str());
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    }
}
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CudaRemoveCMMotionKernel::~CudaRemoveCMMotionKernel() {
    cu.setAsCurrent();
    if (cmMomentum != NULL)
        delete cmMomentum;
}

void CudaRemoveCMMotionKernel::initialize(const System& system, const CMMotionRemover& force) {
    cu.setAsCurrent();
    frequency = force.getFrequency();
    int numAtoms = cu.getNumAtoms();
    cmMomentum = CudaArray::create<float4>(cu, (numAtoms+CudaContext::ThreadBlockSize-1)/CudaContext::ThreadBlockSize, "cmMomentum");
    double totalMass = 0.0;
    for (int i = 0; i < numAtoms; i++)
        totalMass += system.getParticleMass(i);
    map<string, string> defines;
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    defines["INVERSE_TOTAL_MASS"] = cu.doubleToString(totalMass == 0 ? 0.0 : 1.0/totalMass);
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    CUmodule module = cu.createModule(CudaKernelSources::removeCM, defines);
    kernel1 = cu.getKernel(module, "calcCenterOfMassMomentum");
    kernel2 = cu.getKernel(module, "removeCenterOfMassMomentum");
}

void CudaRemoveCMMotionKernel::execute(ContextImpl& context) {
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    cu.setAsCurrent();
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    int numAtoms = cu.getNumAtoms();
    void* args[] = {&numAtoms, &cu.getVelm().getDevicePointer(), &cmMomentum->getDevicePointer()};
    cu.executeKernel(kernel1, args, cu.getNumAtoms(), cu.ThreadBlockSize, cu.ThreadBlockSize*sizeof(float4));
    cu.executeKernel(kernel2, args, cu.getNumAtoms(), cu.ThreadBlockSize, cu.ThreadBlockSize*sizeof(float4));
}