/* -------------------------------------------------------------------------- * * 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. * * * * Portions copyright (c) 2009-2017 Stanford University and the Authors. * * 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 . * * -------------------------------------------------------------------------- */ #include "CudaIntegrationUtilities.h" #include "CudaArray.h" #include "CudaKernelSources.h" #include "openmm/internal/OSRngSeed.h" #include "openmm/HarmonicAngleForce.h" #include "openmm/VirtualSite.h" #include "quern.h" #include "CudaExpressionUtilities.h" #include "ReferenceCCMAAlgorithm.h" #include #include #include #include using namespace OpenMM; using namespace std; #define CHECK_RESULT(result) CHECK_RESULT2(result, errorMessage); #define CHECK_RESULT2(result, prefix) \ if (result != CUDA_SUCCESS) { \ std::stringstream m; \ m< 0 && abs(dist-distance)/distance > 1e-8) || (size > 0 && abs(invMass-peripheralInvMass)/peripheralInvMass > 1e-8)) valid = false; else { peripheralID[size++] = id; distance = dist; peripheralInvMass = invMass; } } void markInvalid(map& allClusters, vector& invalidForShake) { valid = false; invalidForShake[centralID] = true; for (int i = 0; i < size; i++) { invalidForShake[peripheralID[i]] = true; map::iterator otherCluster = allClusters.find(peripheralID[i]); if (otherCluster != allClusters.end() && otherCluster->second.valid) otherCluster->second.markInvalid(allClusters, invalidForShake); } } }; struct CudaIntegrationUtilities::ConstraintOrderer : public binary_function { const vector& atom1; const vector& atom2; const vector& constraints; ConstraintOrderer(const vector& atom1, const vector& atom2, const vector& constraints) : atom1(atom1), atom2(atom2), constraints(constraints) { } bool operator()(int x, int y) { int ix = constraints[x]; int iy = constraints[y]; if (atom1[ix] != atom1[iy]) return atom1[ix] < atom1[iy]; return atom2[ix] < atom2[iy]; } }; CudaIntegrationUtilities::CudaIntegrationUtilities(CudaContext& context, const System& system) : context(context), posDelta(NULL), settleAtoms(NULL), settleParams(NULL), shakeAtoms(NULL), shakeParams(NULL), random(NULL), randomSeed(NULL), randomPos(0), stepSize(NULL), ccmaAtoms(NULL), ccmaDistance(NULL), ccmaReducedMass(NULL), ccmaAtomConstraints(NULL), ccmaNumAtomConstraints(NULL), ccmaConstraintMatrixColumn(NULL), ccmaConstraintMatrixValue(NULL), ccmaDelta1(NULL), ccmaDelta2(NULL), ccmaConverged(NULL), ccmaConvergedMemory(NULL), vsite2AvgAtoms(NULL), vsite2AvgWeights(NULL), vsite3AvgAtoms(NULL), vsite3AvgWeights(NULL), vsiteOutOfPlaneAtoms(NULL), vsiteOutOfPlaneWeights(NULL), vsiteLocalCoordsIndex(NULL), vsiteLocalCoordsAtoms(NULL), vsiteLocalCoordsWeights(NULL), vsiteLocalCoordsPos(NULL), vsiteLocalCoordsStartIndex(NULL) { // Create workspace arrays. lastStepSize = make_double2(0.0, 0.0); if (context.getUseDoublePrecision() || context.getUseMixedPrecision()) { posDelta = CudaArray::create(context, context.getPaddedNumAtoms(), "posDelta"); vector deltas(posDelta->getSize(), make_double4(0.0, 0.0, 0.0, 0.0)); posDelta->upload(deltas); stepSize = CudaArray::create(context, 1, "stepSize"); stepSize->upload(&lastStepSize); } else { posDelta = CudaArray::create(context, context.getPaddedNumAtoms(), "posDelta"); vector deltas(posDelta->getSize(), make_float4(0.0f, 0.0f, 0.0f, 0.0f)); posDelta->upload(deltas); stepSize = CudaArray::create(context, 1, "stepSize"); float2 lastStepSizeFloat = make_float2(0.0f, 0.0f); stepSize->upload(&lastStepSizeFloat); } // Record the set of constraints and how many constraints each atom is involved in. vector atom1; vector atom2; vector distance; vector constraintCount(context.getNumAtoms(), 0); for (int i = 0; i < system.getNumConstraints(); i++) { int p1, p2; double d; system.getConstraintParameters(i, p1, p2, d); if (system.getParticleMass(p1) != 0 || system.getParticleMass(p2) != 0) { atom1.push_back(p1); atom2.push_back(p2); distance.push_back(d); constraintCount[p1]++; constraintCount[p2]++; } } // Identify clusters of three atoms that can be treated with SETTLE. First, for every // atom that might be part of such a cluster, make a list of the two other atoms it is // connected to. int numAtoms = system.getNumParticles(); vector > settleConstraints(numAtoms); for (int i = 0; i < (int)atom1.size(); i++) { if (constraintCount[atom1[i]] == 2 && constraintCount[atom2[i]] == 2) { settleConstraints[atom1[i]][atom2[i]] = (float) distance[i]; settleConstraints[atom2[i]][atom1[i]] = (float) distance[i]; } } // Now remove the ones that don't actually form closed loops of three atoms. vector settleClusters; for (int i = 0; i < (int)settleConstraints.size(); i++) { if (settleConstraints[i].size() == 2) { int partner1 = settleConstraints[i].begin()->first; int partner2 = (++settleConstraints[i].begin())->first; if (settleConstraints[partner1].size() != 2 || settleConstraints[partner2].size() != 2 || settleConstraints[partner1].find(partner2) == settleConstraints[partner1].end()) settleConstraints[i].clear(); else if (i < partner1 && i < partner2) settleClusters.push_back(i); } else settleConstraints[i].clear(); } // Record the SETTLE clusters. vector isShakeAtom(numAtoms, false); if (settleClusters.size() > 0) { vector atoms; vector params; for (int i = 0; i < (int) settleClusters.size(); i++) { int atom1 = settleClusters[i]; int atom2 = settleConstraints[atom1].begin()->first; int atom3 = (++settleConstraints[atom1].begin())->first; float dist12 = settleConstraints[atom1].find(atom2)->second; float dist13 = settleConstraints[atom1].find(atom3)->second; float dist23 = settleConstraints[atom2].find(atom3)->second; if (dist12 == dist13) { // atom1 is the central atom atoms.push_back(make_int4(atom1, atom2, atom3, 0)); params.push_back(make_float2(dist12, dist23)); } else if (dist12 == dist23) { // atom2 is the central atom atoms.push_back(make_int4(atom2, atom1, atom3, 0)); params.push_back(make_float2(dist12, dist13)); } else if (dist13 == dist23) { // atom3 is the central atom atoms.push_back(make_int4(atom3, atom1, atom2, 0)); params.push_back(make_float2(dist13, dist12)); } else continue; // We can't handle this with SETTLE isShakeAtom[atom1] = true; isShakeAtom[atom2] = true; isShakeAtom[atom3] = true; } if (atoms.size() > 0) { settleAtoms = CudaArray::create(context, atoms.size(), "settleAtoms"); settleParams = CudaArray::create(context, params.size(), "settleParams"); settleAtoms->upload(atoms); settleParams->upload(params); } } // Find clusters consisting of a central atom with up to three peripheral atoms. map clusters; vector invalidForShake(numAtoms, false); for (int i = 0; i < (int) atom1.size(); i++) { if (isShakeAtom[atom1[i]]) continue; // This is being taken care of with SETTLE. // Determine which is the central atom. bool firstIsCentral; if (constraintCount[atom1[i]] > 1) firstIsCentral = true; else if (constraintCount[atom2[i]] > 1) firstIsCentral = false; else if (atom1[i] < atom2[i]) firstIsCentral = true; else firstIsCentral = false; int centralID, peripheralID; if (firstIsCentral) { centralID = atom1[i]; peripheralID = atom2[i]; } else { centralID = atom2[i]; peripheralID = atom1[i]; } // Add it to the cluster. if (clusters.find(centralID) == clusters.end()) { clusters[centralID] = ShakeCluster(centralID, 1.0/system.getParticleMass(centralID)); } ShakeCluster& cluster = clusters[centralID]; cluster.addAtom(peripheralID, distance[i], 1.0/system.getParticleMass(peripheralID)); if (constraintCount[peripheralID] != 1 || invalidForShake[atom1[i]] || invalidForShake[atom2[i]]) { cluster.markInvalid(clusters, invalidForShake); map::iterator otherCluster = clusters.find(peripheralID); if (otherCluster != clusters.end() && otherCluster->second.valid) otherCluster->second.markInvalid(clusters, invalidForShake); } } int validShakeClusters = 0; for (map::iterator iter = clusters.begin(); iter != clusters.end(); ++iter) { ShakeCluster& cluster = iter->second; if (cluster.valid) { cluster.valid = !invalidForShake[cluster.centralID] && cluster.size == constraintCount[cluster.centralID]; for (int i = 0; i < cluster.size; i++) if (invalidForShake[cluster.peripheralID[i]]) cluster.valid = false; if (cluster.valid) ++validShakeClusters; } } // Record the SHAKE clusters. if (validShakeClusters > 0) { vector atoms; vector params; int index = 0; for (map::const_iterator iter = clusters.begin(); iter != clusters.end(); ++iter) { const ShakeCluster& cluster = iter->second; if (!cluster.valid) continue; atoms.push_back(make_int4(cluster.centralID, cluster.peripheralID[0], (cluster.size > 1 ? cluster.peripheralID[1] : -1), (cluster.size > 2 ? cluster.peripheralID[2] : -1))); params.push_back(make_float4((float) cluster.centralInvMass, (float) (0.5/(cluster.centralInvMass+cluster.peripheralInvMass)), (float) (cluster.distance*cluster.distance), (float) cluster.peripheralInvMass)); isShakeAtom[cluster.centralID] = true; isShakeAtom[cluster.peripheralID[0]] = true; if (cluster.size > 1) isShakeAtom[cluster.peripheralID[1]] = true; if (cluster.size > 2) isShakeAtom[cluster.peripheralID[2]] = true; ++index; } shakeAtoms = CudaArray::create(context, atoms.size(), "shakeAtoms"); shakeParams = CudaArray::create(context, params.size(), "shakeParams"); shakeAtoms->upload(atoms); shakeParams->upload(params); } // Find connected constraints for CCMA. vector ccmaConstraints; for (unsigned i = 0; i < atom1.size(); i++) if (!isShakeAtom[atom1[i]]) ccmaConstraints.push_back(i); // Record the connections between constraints. int numCCMA = (int) ccmaConstraints.size(); if (numCCMA > 0) { // Record information needed by ReferenceCCMAAlgorithm. vector > refIndices(numCCMA); vector refDistance(numCCMA); for (int i = 0; i < numCCMA; i++) { int index = ccmaConstraints[i]; refIndices[i] = make_pair(atom1[index], atom2[index]); refDistance[i] = distance[index]; } vector refMasses(numAtoms); for (int i = 0; i < numAtoms; ++i) refMasses[i] = system.getParticleMass(i); // Look up angles for CCMA. vector angles; for (int i = 0; i < system.getNumForces(); i++) { const HarmonicAngleForce* force = dynamic_cast(&system.getForce(i)); if (force != NULL) { for (int j = 0; j < force->getNumAngles(); j++) { int atom1, atom2, atom3; double angle, k; force->getAngleParameters(j, atom1, atom2, atom3, angle, k); angles.push_back(ReferenceCCMAAlgorithm::AngleInfo(atom1, atom2, atom3, angle)); } } } // Create a ReferenceCCMAAlgorithm. It will build and invert the constraint matrix for us. ReferenceCCMAAlgorithm ccma(numAtoms, numCCMA, refIndices, refDistance, refMasses, angles, 0.1); vector > > matrix = ccma.getMatrix(); int maxRowElements = 0; for (unsigned i = 0; i < matrix.size(); i++) maxRowElements = max(maxRowElements, (int) matrix[i].size()); maxRowElements++; // Build the list of constraints for each atom. vector > atomConstraints(context.getNumAtoms()); for (int i = 0; i < numCCMA; i++) { atomConstraints[atom1[ccmaConstraints[i]]].push_back(i); atomConstraints[atom2[ccmaConstraints[i]]].push_back(i); } int maxAtomConstraints = 0; for (unsigned i = 0; i < atomConstraints.size(); i++) maxAtomConstraints = max(maxAtomConstraints, (int) atomConstraints[i].size()); // Sort the constraints. vector constraintOrder(numCCMA); for (int i = 0; i < numCCMA; ++i) constraintOrder[i] = i; sort(constraintOrder.begin(), constraintOrder.end(), ConstraintOrderer(atom1, atom2, ccmaConstraints)); vector inverseOrder(numCCMA); for (int i = 0; i < numCCMA; ++i) inverseOrder[constraintOrder[i]] = i; for (int i = 0; i < (int)matrix.size(); ++i) for (int j = 0; j < (int)matrix[i].size(); ++j) matrix[i][j].first = inverseOrder[matrix[i][j].first]; // Record the CCMA data structures. ccmaAtoms = CudaArray::create(context, numCCMA, "CcmaAtoms"); ccmaAtomConstraints = CudaArray::create(context, numAtoms*maxAtomConstraints, "CcmaAtomConstraints"); ccmaNumAtomConstraints = CudaArray::create(context, numAtoms, "CcmaAtomConstraintsIndex"); ccmaConstraintMatrixColumn = CudaArray::create(context, numCCMA*maxRowElements, "ConstraintMatrixColumn"); ccmaConverged = CudaArray::create(context, 2, "ccmaConverged"); CHECK_RESULT2(cuMemHostAlloc((void**) &ccmaConvergedMemory, sizeof(int), CU_MEMHOSTALLOC_DEVICEMAP), "Error allocating pinned memory"); CHECK_RESULT2(cuMemHostGetDevicePointer(&ccmaConvergedDeviceMemory, ccmaConvergedMemory, 0), "Error getting device address for pinned memory"); vector atomsVec(ccmaAtoms->getSize()); vector atomConstraintsVec(ccmaAtomConstraints->getSize()); vector numAtomConstraintsVec(ccmaNumAtomConstraints->getSize()); vector constraintMatrixColumnVec(ccmaConstraintMatrixColumn->getSize()); if (context.getUseDoublePrecision() || context.getUseMixedPrecision()) { ccmaDistance = CudaArray::create(context, numCCMA, "CcmaDistance"); ccmaDelta1 = CudaArray::create(context, numCCMA, "CcmaDelta1"); ccmaDelta2 = CudaArray::create(context, numCCMA, "CcmaDelta2"); ccmaReducedMass = CudaArray::create(context, numCCMA, "CcmaReducedMass"); ccmaConstraintMatrixValue = CudaArray::create(context, numCCMA*maxRowElements, "ConstraintMatrixValue"); vector distanceVec(ccmaDistance->getSize()); vector reducedMassVec(ccmaReducedMass->getSize()); vector constraintMatrixValueVec(ccmaConstraintMatrixValue->getSize()); for (int i = 0; i < numCCMA; i++) { int index = constraintOrder[i]; int c = ccmaConstraints[index]; atomsVec[i].x = atom1[c]; atomsVec[i].y = atom2[c]; distanceVec[i].w = distance[c]; reducedMassVec[i] = (0.5/(1.0/system.getParticleMass(atom1[c])+1.0/system.getParticleMass(atom2[c]))); for (unsigned int j = 0; j < matrix[index].size(); j++) { constraintMatrixColumnVec[i+j*numCCMA] = matrix[index][j].first; constraintMatrixValueVec[i+j*numCCMA] = matrix[index][j].second; } constraintMatrixColumnVec[i+matrix[index].size()*numCCMA] = numCCMA; } ccmaDistance->upload(distanceVec); ccmaReducedMass->upload(reducedMassVec); ccmaConstraintMatrixValue->upload(constraintMatrixValueVec); } else { ccmaDistance = CudaArray::create(context, numCCMA, "CcmaDistance"); ccmaDelta1 = CudaArray::create(context, numCCMA, "CcmaDelta1"); ccmaDelta2 = CudaArray::create(context, numCCMA, "CcmaDelta2"); ccmaReducedMass = CudaArray::create(context, numCCMA, "CcmaReducedMass"); ccmaConstraintMatrixValue = CudaArray::create(context, numCCMA*maxRowElements, "ConstraintMatrixValue"); vector distanceVec(ccmaDistance->getSize()); vector reducedMassVec(ccmaReducedMass->getSize()); vector constraintMatrixValueVec(ccmaConstraintMatrixValue->getSize()); for (int i = 0; i < numCCMA; i++) { int index = constraintOrder[i]; int c = ccmaConstraints[index]; atomsVec[i].x = atom1[c]; atomsVec[i].y = atom2[c]; distanceVec[i].w = (float) distance[c]; reducedMassVec[i] = (float) (0.5/(1.0/system.getParticleMass(atom1[c])+1.0/system.getParticleMass(atom2[c]))); for (unsigned int j = 0; j < matrix[index].size(); j++) { constraintMatrixColumnVec[i+j*numCCMA] = matrix[index][j].first; constraintMatrixValueVec[i+j*numCCMA] = (float) matrix[index][j].second; } constraintMatrixColumnVec[i+matrix[index].size()*numCCMA] = numCCMA; } ccmaDistance->upload(distanceVec); ccmaReducedMass->upload(reducedMassVec); ccmaConstraintMatrixValue->upload(constraintMatrixValueVec); } for (unsigned int i = 0; i < atomConstraints.size(); i++) { numAtomConstraintsVec[i] = atomConstraints[i].size(); for (unsigned int j = 0; j < atomConstraints[i].size(); j++) { bool forward = (atom1[ccmaConstraints[atomConstraints[i][j]]] == i); atomConstraintsVec[i+j*numAtoms] = (forward ? inverseOrder[atomConstraints[i][j]]+1 : -inverseOrder[atomConstraints[i][j]]-1); } } ccmaAtoms->upload(atomsVec); ccmaAtomConstraints->upload(atomConstraintsVec); ccmaNumAtomConstraints->upload(numAtomConstraintsVec); ccmaConstraintMatrixColumn->upload(constraintMatrixColumnVec); } // Build the list of virtual sites. vector vsite2AvgAtomVec; vector vsite2AvgWeightVec; vector vsite3AvgAtomVec; vector vsite3AvgWeightVec; vector vsiteOutOfPlaneAtomVec; vector vsiteOutOfPlaneWeightVec; vector vsiteLocalCoordsIndexVec; vector vsiteLocalCoordsAtomVec; vector vsiteLocalCoordsStartVec; vector vsiteLocalCoordsWeightVec; vector vsiteLocalCoordsPosVec; for (int i = 0; i < numAtoms; i++) { if (system.isVirtualSite(i)) { if (dynamic_cast(&system.getVirtualSite(i)) != NULL) { // A two particle average. const TwoParticleAverageSite& site = dynamic_cast(system.getVirtualSite(i)); vsite2AvgAtomVec.push_back(make_int4(i, site.getParticle(0), site.getParticle(1), 0)); vsite2AvgWeightVec.push_back(make_double2(site.getWeight(0), site.getWeight(1))); } else if (dynamic_cast(&system.getVirtualSite(i)) != NULL) { // A three particle average. const ThreeParticleAverageSite& site = dynamic_cast(system.getVirtualSite(i)); vsite3AvgAtomVec.push_back(make_int4(i, site.getParticle(0), site.getParticle(1), site.getParticle(2))); vsite3AvgWeightVec.push_back(make_double4(site.getWeight(0), site.getWeight(1), site.getWeight(2), 0.0)); } else if (dynamic_cast(&system.getVirtualSite(i)) != NULL) { // An out of plane site. const OutOfPlaneSite& site = dynamic_cast(system.getVirtualSite(i)); vsiteOutOfPlaneAtomVec.push_back(make_int4(i, site.getParticle(0), site.getParticle(1), site.getParticle(2))); vsiteOutOfPlaneWeightVec.push_back(make_double4(site.getWeight12(), site.getWeight13(), site.getWeightCross(), 0.0)); } else if (dynamic_cast(&system.getVirtualSite(i)) != NULL) { // A local coordinates site. const LocalCoordinatesSite& site = dynamic_cast(system.getVirtualSite(i)); int numParticles = site.getNumParticles(); vector origin, x, y; site.getOriginWeights(origin); site.getXWeights(x); site.getYWeights(y); vsiteLocalCoordsIndexVec.push_back(i); vsiteLocalCoordsStartVec.push_back(vsiteLocalCoordsAtomVec.size()); for (int j = 0; j < numParticles; j++) { vsiteLocalCoordsAtomVec.push_back(site.getParticle(j)); vsiteLocalCoordsWeightVec.push_back(origin[j]); vsiteLocalCoordsWeightVec.push_back(x[j]); vsiteLocalCoordsWeightVec.push_back(y[j]); } Vec3 pos = site.getLocalPosition(); vsiteLocalCoordsPosVec.push_back(make_double4(pos[0], pos[1], pos[2], 0.0)); } } } vsiteLocalCoordsStartVec.push_back(vsiteLocalCoordsAtomVec.size()); int num2Avg = vsite2AvgAtomVec.size(); int num3Avg = vsite3AvgAtomVec.size(); int numOutOfPlane = vsiteOutOfPlaneAtomVec.size(); int numLocalCoords = vsiteLocalCoordsPosVec.size(); vsite2AvgAtoms = CudaArray::create(context, max(1, num2Avg), "vsite2AvgAtoms"); vsite3AvgAtoms = CudaArray::create(context, max(1, num3Avg), "vsite3AvgAtoms"); vsiteOutOfPlaneAtoms = CudaArray::create(context, max(1, numOutOfPlane), "vsiteOutOfPlaneAtoms"); vsiteLocalCoordsIndex = CudaArray::create(context, max(1, (int) vsiteLocalCoordsIndexVec.size()), "vsiteLocalCoordsIndex"); vsiteLocalCoordsAtoms = CudaArray::create(context, max(1, (int) vsiteLocalCoordsAtomVec.size()), "vsiteLocalCoordsAtoms"); vsiteLocalCoordsStartIndex = CudaArray::create(context, max(1, (int) vsiteLocalCoordsStartVec.size()), "vsiteLocalCoordsStartIndex"); if (num2Avg > 0) vsite2AvgAtoms->upload(vsite2AvgAtomVec); if (num3Avg > 0) vsite3AvgAtoms->upload(vsite3AvgAtomVec); if (numOutOfPlane > 0) vsiteOutOfPlaneAtoms->upload(vsiteOutOfPlaneAtomVec); if (numLocalCoords > 0) { vsiteLocalCoordsIndex->upload(vsiteLocalCoordsIndexVec); vsiteLocalCoordsAtoms->upload(vsiteLocalCoordsAtomVec); vsiteLocalCoordsStartIndex->upload(vsiteLocalCoordsStartVec); } if (context.getUseDoublePrecision()) { vsite2AvgWeights = CudaArray::create(context, max(1, num2Avg), "vsite2AvgWeights"); vsite3AvgWeights = CudaArray::create(context, max(1, num3Avg), "vsite3AvgWeights"); vsiteOutOfPlaneWeights = CudaArray::create(context, max(1, numOutOfPlane), "vsiteOutOfPlaneWeights"); vsiteLocalCoordsWeights = CudaArray::create(context, max(1, (int) vsiteLocalCoordsWeightVec.size()), "vsiteLocalCoordsWeights"); vsiteLocalCoordsPos = CudaArray::create(context, max(1, (int) vsiteLocalCoordsPosVec.size()), "vsiteLocalCoordsPos"); if (num2Avg > 0) vsite2AvgWeights->upload(vsite2AvgWeightVec); if (num3Avg > 0) vsite3AvgWeights->upload(vsite3AvgWeightVec); if (numOutOfPlane > 0) vsiteOutOfPlaneWeights->upload(vsiteOutOfPlaneWeightVec); if (numLocalCoords > 0) { vsiteLocalCoordsWeights->upload(vsiteLocalCoordsWeightVec); vsiteLocalCoordsPos->upload(vsiteLocalCoordsPosVec); } } else { vsite2AvgWeights = CudaArray::create(context, max(1, num2Avg), "vsite2AvgWeights"); vsite3AvgWeights = CudaArray::create(context, max(1, num3Avg), "vsite3AvgWeights"); vsiteOutOfPlaneWeights = CudaArray::create(context, max(1, numOutOfPlane), "vsiteOutOfPlaneWeights"); vsiteLocalCoordsWeights = CudaArray::create(context, max(1, (int) vsiteLocalCoordsWeightVec.size()), "vsiteLocalCoordsWeights"); vsiteLocalCoordsPos = CudaArray::create(context, max(1, (int) vsiteLocalCoordsPosVec.size()), "vsiteLocalCoordsPos"); if (num2Avg > 0) { vector floatWeights(num2Avg); for (int i = 0; i < num2Avg; i++) floatWeights[i] = make_float2((float) vsite2AvgWeightVec[i].x, (float) vsite2AvgWeightVec[i].y); vsite2AvgWeights->upload(floatWeights); } if (num3Avg > 0) { vector floatWeights(num3Avg); for (int i = 0; i < num3Avg; i++) floatWeights[i] = make_float4((float) vsite3AvgWeightVec[i].x, (float) vsite3AvgWeightVec[i].y, (float) vsite3AvgWeightVec[i].z, 0.0f); vsite3AvgWeights->upload(floatWeights); } if (numOutOfPlane > 0) { vector floatWeights(numOutOfPlane); for (int i = 0; i < numOutOfPlane; i++) floatWeights[i] = make_float4((float) vsiteOutOfPlaneWeightVec[i].x, (float) vsiteOutOfPlaneWeightVec[i].y, (float) vsiteOutOfPlaneWeightVec[i].z, 0.0f); vsiteOutOfPlaneWeights->upload(floatWeights); } if (numLocalCoords > 0) { vector floatWeights(vsiteLocalCoordsWeightVec.size()); for (int i = 0; i < (int) vsiteLocalCoordsWeightVec.size(); i++) floatWeights[i] = (float) vsiteLocalCoordsWeightVec[i]; vsiteLocalCoordsWeights->upload(floatWeights); vector floatPos(vsiteLocalCoordsPosVec.size()); for (int i = 0; i < (int) vsiteLocalCoordsPosVec.size(); i++) floatPos[i] = make_float4((float) vsiteLocalCoordsPosVec[i].x, (float) vsiteLocalCoordsPosVec[i].y, (float) vsiteLocalCoordsPosVec[i].z, 0.0f); vsiteLocalCoordsPos->upload(floatPos); } } // Create the kernels used by this class. map defines; defines["NUM_CCMA_CONSTRAINTS"] = context.intToString(numCCMA); defines["NUM_ATOMS"] = context.intToString(numAtoms); defines["NUM_2_AVERAGE"] = context.intToString(num2Avg); defines["NUM_3_AVERAGE"] = context.intToString(num3Avg); defines["NUM_OUT_OF_PLANE"] = context.intToString(numOutOfPlane); defines["NUM_LOCAL_COORDS"] = context.intToString(numLocalCoords); defines["PADDED_NUM_ATOMS"] = context.intToString(context.getPaddedNumAtoms()); CUmodule module = context.createModule(CudaKernelSources::vectorOps+CudaKernelSources::integrationUtilities, defines); settlePosKernel = context.getKernel(module, "applySettleToPositions"); settleVelKernel = context.getKernel(module, "applySettleToVelocities"); shakePosKernel = context.getKernel(module, "applyShakeToPositions"); shakeVelKernel = context.getKernel(module, "applyShakeToVelocities"); ccmaDirectionsKernel = context.getKernel(module, "computeCCMAConstraintDirections"); ccmaPosForceKernel = context.getKernel(module, "computeCCMAPositionConstraintForce"); ccmaVelForceKernel = context.getKernel(module, "computeCCMAVelocityConstraintForce"); ccmaMultiplyKernel = context.getKernel(module, "multiplyByCCMAConstraintMatrix"); ccmaUpdateKernel = context.getKernel(module, "updateCCMAAtomPositions"); CHECK_RESULT2(cuEventCreate(&ccmaEvent, CU_EVENT_DISABLE_TIMING), "Error creating event for CCMA"); vsitePositionKernel = context.getKernel(module, "computeVirtualSites"); vsiteForceKernel = context.getKernel(module, "distributeVirtualSiteForces"); numVsites = num2Avg+num3Avg+numOutOfPlane+numLocalCoords; randomKernel = context.getKernel(module, "generateRandomNumbers"); timeShiftKernel = context.getKernel(module, "timeShiftVelocities"); } CudaIntegrationUtilities::~CudaIntegrationUtilities() { context.setAsCurrent(); if (posDelta != NULL) delete posDelta; if (settleAtoms != NULL) delete settleAtoms; if (settleParams != NULL) delete settleParams; if (shakeAtoms != NULL) delete shakeAtoms; if (shakeParams != NULL) delete shakeParams; if (random != NULL) delete random; if (randomSeed != NULL) delete randomSeed; if (stepSize != NULL) delete stepSize; if (ccmaAtoms != NULL) delete ccmaAtoms; if (ccmaDistance != NULL) delete ccmaDistance; if (ccmaReducedMass != NULL) delete ccmaReducedMass; if (ccmaAtomConstraints != NULL) delete ccmaAtomConstraints; if (ccmaNumAtomConstraints != NULL) delete ccmaNumAtomConstraints; if (ccmaConstraintMatrixColumn != NULL) delete ccmaConstraintMatrixColumn; if (ccmaConstraintMatrixValue != NULL) delete ccmaConstraintMatrixValue; if (ccmaDelta1 != NULL) delete ccmaDelta1; if (ccmaDelta2 != NULL) delete ccmaDelta2; if (ccmaConverged != NULL) delete ccmaConverged; if (ccmaConvergedMemory != NULL) cuMemFreeHost(ccmaConvergedMemory); if (vsite2AvgAtoms != NULL) delete vsite2AvgAtoms; if (vsite2AvgWeights != NULL) delete vsite2AvgWeights; if (vsite3AvgAtoms != NULL) delete vsite3AvgAtoms; if (vsite3AvgWeights != NULL) delete vsite3AvgWeights; if (vsiteOutOfPlaneAtoms != NULL) delete vsiteOutOfPlaneAtoms; if (vsiteOutOfPlaneWeights != NULL) delete vsiteOutOfPlaneWeights; if (vsiteLocalCoordsIndex != NULL) delete vsiteLocalCoordsIndex; if (vsiteLocalCoordsAtoms != NULL) delete vsiteLocalCoordsAtoms; if (vsiteLocalCoordsWeights != NULL) delete vsiteLocalCoordsWeights; if (vsiteLocalCoordsPos != NULL) delete vsiteLocalCoordsPos; if (vsiteLocalCoordsStartIndex != NULL) delete vsiteLocalCoordsStartIndex; } void CudaIntegrationUtilities::setNextStepSize(double size) { if (size != lastStepSize.x || size != lastStepSize.y) { lastStepSize = make_double2(size, size); if (context.getUseDoublePrecision() || context.getUseMixedPrecision()) stepSize->upload(&lastStepSize); else { float2 lastStepSizeFloat = make_float2((float) size, (float) size); stepSize->upload(&lastStepSizeFloat); } } } double CudaIntegrationUtilities::getLastStepSize() { if (context.getUseDoublePrecision() || context.getUseMixedPrecision()) stepSize->download(&lastStepSize); else { float2 lastStepSizeFloat; stepSize->download(&lastStepSizeFloat); lastStepSize = make_double2(lastStepSizeFloat.x, lastStepSizeFloat.y); } return lastStepSize.y; } void CudaIntegrationUtilities::applyConstraints(double tol) { applyConstraints(false, tol); } void CudaIntegrationUtilities::applyVelocityConstraints(double tol) { applyConstraints(true, tol); } void CudaIntegrationUtilities::applyConstraints(bool constrainVelocities, double tol) { CUfunction settleKernel, shakeKernel, ccmaForceKernel; if (constrainVelocities) { settleKernel = settleVelKernel; shakeKernel = shakeVelKernel; ccmaForceKernel = ccmaVelForceKernel; } else { settleKernel = settlePosKernel; shakeKernel = shakePosKernel; ccmaForceKernel = ccmaPosForceKernel; } float floatTol = (float) tol; void* tolPointer = (context.getUseDoublePrecision() || context.getUseMixedPrecision() ? (void*) &tol : (void*) &floatTol); CUdeviceptr posCorrection = (context.getUseMixedPrecision() ? context.getPosqCorrection().getDevicePointer() : 0); if (settleAtoms != NULL) { int numClusters = settleAtoms->getSize(); void* args[] = {&numClusters, tolPointer, &context.getPosq().getDevicePointer(), &posCorrection, &posDelta->getDevicePointer(), &context.getVelm().getDevicePointer(), &settleAtoms->getDevicePointer(), &settleParams->getDevicePointer()}; context.executeKernel(settleKernel, args, settleAtoms->getSize()); } if (shakeAtoms != NULL) { int numClusters = shakeAtoms->getSize(); void* args[] = {&numClusters, tolPointer, &context.getPosq().getDevicePointer(), &posCorrection, constrainVelocities ? &context.getVelm().getDevicePointer() : &posDelta->getDevicePointer(), &shakeAtoms->getDevicePointer(), &shakeParams->getDevicePointer()}; context.executeKernel(shakeKernel, args, shakeAtoms->getSize()); } if (ccmaAtoms != NULL) { void* directionsArgs[] = {&ccmaAtoms->getDevicePointer(), &ccmaDistance->getDevicePointer(), &context.getPosq().getDevicePointer(), &posCorrection, &ccmaConverged->getDevicePointer()}; context.executeKernel(ccmaDirectionsKernel, directionsArgs, ccmaAtoms->getSize()); int i; void* forceArgs[] = {&ccmaAtoms->getDevicePointer(), &ccmaDistance->getDevicePointer(), constrainVelocities ? &context.getVelm().getDevicePointer() : &posDelta->getDevicePointer(), &ccmaReducedMass->getDevicePointer(), &ccmaDelta1->getDevicePointer(), &ccmaConverged->getDevicePointer(), &ccmaConvergedDeviceMemory, tolPointer, &i}; void* multiplyArgs[] = {&ccmaDelta1->getDevicePointer(), &ccmaDelta2->getDevicePointer(), &ccmaConstraintMatrixColumn->getDevicePointer(), &ccmaConstraintMatrixValue->getDevicePointer(), &ccmaConverged->getDevicePointer(), &i}; void* updateArgs[] = {&ccmaNumAtomConstraints->getDevicePointer(), &ccmaAtomConstraints->getDevicePointer(), &ccmaDistance->getDevicePointer(), constrainVelocities ? &context.getVelm().getDevicePointer() : &posDelta->getDevicePointer(), &context.getVelm().getDevicePointer(), &ccmaDelta1->getDevicePointer(), &ccmaDelta2->getDevicePointer(), &ccmaConverged->getDevicePointer(), &i}; const int checkInterval = 4; ccmaConvergedMemory[0] = 0; for (i = 0; i < 150; i++) { context.executeKernel(ccmaForceKernel, forceArgs, ccmaAtoms->getSize()); if ((i+1)%checkInterval == 0) CHECK_RESULT2(cuEventRecord(ccmaEvent, 0), "Error recording event for CCMA"); context.executeKernel(ccmaMultiplyKernel, multiplyArgs, ccmaAtoms->getSize()); context.executeKernel(ccmaUpdateKernel, updateArgs, context.getNumAtoms()); if ((i+1)%checkInterval == 0) { CHECK_RESULT2(cuEventSynchronize(ccmaEvent), "Error synchronizing on event for CCMA"); if (ccmaConvergedMemory[0]) break; } } } } void CudaIntegrationUtilities::computeVirtualSites() { if (numVsites > 0) { CUdeviceptr posCorrection = (context.getUseMixedPrecision() ? context.getPosqCorrection().getDevicePointer() : 0); void* args[] = {&context.getPosq().getDevicePointer(), &posCorrection, &vsite2AvgAtoms->getDevicePointer(), &vsite2AvgWeights->getDevicePointer(), &vsite3AvgAtoms->getDevicePointer(), &vsite3AvgWeights->getDevicePointer(), &vsiteOutOfPlaneAtoms->getDevicePointer(), &vsiteOutOfPlaneWeights->getDevicePointer(), &vsiteLocalCoordsIndex->getDevicePointer(), &vsiteLocalCoordsAtoms->getDevicePointer(), &vsiteLocalCoordsWeights->getDevicePointer(), &vsiteLocalCoordsPos->getDevicePointer(), &vsiteLocalCoordsStartIndex->getDevicePointer()}; context.executeKernel(vsitePositionKernel, args, numVsites); } } void CudaIntegrationUtilities::distributeForcesFromVirtualSites() { if (numVsites > 0) { CUdeviceptr posCorrection = (context.getUseMixedPrecision() ? context.getPosqCorrection().getDevicePointer() : 0); void* args[] = {&context.getPosq().getDevicePointer(), &posCorrection, &context.getForce().getDevicePointer(), &vsite2AvgAtoms->getDevicePointer(), &vsite2AvgWeights->getDevicePointer(), &vsite3AvgAtoms->getDevicePointer(), &vsite3AvgWeights->getDevicePointer(), &vsiteOutOfPlaneAtoms->getDevicePointer(), &vsiteOutOfPlaneWeights->getDevicePointer(), &vsiteLocalCoordsIndex->getDevicePointer(), &vsiteLocalCoordsAtoms->getDevicePointer(), &vsiteLocalCoordsWeights->getDevicePointer(), &vsiteLocalCoordsPos->getDevicePointer(), &vsiteLocalCoordsStartIndex->getDevicePointer()}; context.executeKernel(vsiteForceKernel, args, numVsites); } } void CudaIntegrationUtilities::initRandomNumberGenerator(unsigned int randomNumberSeed) { if (random != NULL) { if (randomNumberSeed != lastSeed) throw OpenMMException("CudaIntegrationUtilities::initRandomNumberGenerator(): Requested two different values for the random number seed"); return; } // Create the random number arrays. lastSeed = randomNumberSeed; random = CudaArray::create(context, 4*context.getPaddedNumAtoms(), "random"); randomSeed = CudaArray::create(context, context.getNumThreadBlocks()*CudaContext::ThreadBlockSize, "randomSeed"); randomPos = random->getSize(); // Use a quick and dirty RNG to pick seeds for the real random number generator. vector seed(randomSeed->getSize()); unsigned int r = randomNumberSeed; if (r == 0) r = (unsigned int) osrngseed(); 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); } int CudaIntegrationUtilities::prepareRandomNumbers(int numValues) { if (randomPos+numValues <= random->getSize()) { int oldPos = randomPos; randomPos += numValues; return oldPos; } if (numValues > random->getSize()) { delete random; random = CudaArray::create(context, numValues, "random"); } int size = random->getSize(); void* args[] = {&size, &random->getDevicePointer(), &randomSeed->getDevicePointer()}; context.executeKernel(randomKernel, args, random->getSize()); randomPos = numValues; return 0; } void CudaIntegrationUtilities::createCheckpoint(ostream& stream) { if(random == NULL) return; stream.write((char*) &randomPos, sizeof(int)); vector randomVec; random->download(randomVec); stream.write((char*) &randomVec[0], sizeof(float4)*random->getSize()); vector randomSeedVec; randomSeed->download(randomSeedVec); stream.write((char*) &randomSeedVec[0], sizeof(int4)*randomSeed->getSize()); } void CudaIntegrationUtilities::loadCheckpoint(istream& stream) { if(random == NULL) return; stream.read((char*) &randomPos, sizeof(int)); vector randomVec(random->getSize()); stream.read((char*) &randomVec[0], sizeof(float4)*random->getSize()); random->upload(randomVec); vector randomSeedVec(randomSeed->getSize()); stream.read((char*) &randomSeedVec[0], sizeof(int4)*randomSeed->getSize()); randomSeed->upload(randomSeedVec); } double CudaIntegrationUtilities::computeKineticEnergy(double timeShift) { int numParticles = context.getNumAtoms(); if (timeShift != 0) { float timeShiftFloat = (float) timeShift; void* timeShiftPtr = (context.getUseDoublePrecision() ? (void*) &timeShift : (void*) &timeShiftFloat); // Copy the velocities into the posDelta array while we temporarily modify them. context.getVelm().copyTo(*posDelta); // Apply the time shift. void* args[] = {&context.getVelm().getDevicePointer(), &context.getForce().getDevicePointer(), timeShiftPtr}; context.executeKernel(timeShiftKernel, args, numParticles); applyConstraints(true, 1e-4); } // Compute the kinetic energy. double energy = 0.0; if (context.getUseDoublePrecision() || context.getUseMixedPrecision()) { vector velm; context.getVelm().download(velm); for (int i = 0; i < numParticles; i++) { double4 v = velm[i]; if (v.w != 0) energy += (v.x*v.x+v.y*v.y+v.z*v.z)/v.w; } } else { vector velm; context.getVelm().download(velm); for (int i = 0; i < numParticles; i++) { float4 v = velm[i]; if (v.w != 0) energy += (v.x*v.x+v.y*v.y+v.z*v.z)/v.w; } } // Restore the velocities. if (timeShift != 0) posDelta->copyTo(context.getVelm()); return 0.5*energy; }