#ifndef OPENMM_CUDAPARALLELKERNELS_H_
#define OPENMM_CUDAPARALLELKERNELS_H_

/* -------------------------------------------------------------------------- *
 *                                   OpenMM                                   *
 * -------------------------------------------------------------------------- *
 * This is part of the OpenMM molecular simulation toolkit.                   *
 * See https://openmm.org/development.                                        *
 *                                                                            *
 * Portions copyright (c) 2011-2024 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 <http://www.gnu.org/licenses/>.      *
 * -------------------------------------------------------------------------- */

#include "CudaPlatform.h"
#include "CudaContext.h"
#include "CudaKernels.h"
#include "openmm/common/CommonKernels.h"

namespace OpenMM {

/**
 * This kernel is invoked at the beginning and end of force and energy computations.  It gives the
 * Platform a chance to clear buffers and do other initialization at the beginning, and to do any
 * necessary work at the end to determine the final results.
 */
class CudaParallelCalcForcesAndEnergyKernel : public CalcForcesAndEnergyKernel {
public:
    CudaParallelCalcForcesAndEnergyKernel(std::string name, const Platform& platform, CudaPlatform::PlatformData& data);
    ~CudaParallelCalcForcesAndEnergyKernel();
    CudaCalcForcesAndEnergyKernel& getKernel(int index) {
        return dynamic_cast<CudaCalcForcesAndEnergyKernel&>(kernels[index].getImpl());
    }
    /**
     * Initialize the kernel.
     *
     * @param system     the System this kernel will be applied to
     */
    void initialize(const System& system);
    /**
     * This is called at the beginning of each force/energy computation, before calcForcesAndEnergy() has been called on
     * any ForceImpl.
     *
     * @param context       the context in which to execute this kernel
     * @param includeForce  true if forces should be computed
     * @param includeEnergy true if potential energy should be computed
     * @param groups        a set of bit flags for which force groups to include
     */
    void beginComputation(ContextImpl& context, bool includeForce, bool includeEnergy, int groups);
    /**
     * This is called at the end of each force/energy computation, after calcForcesAndEnergy() has been called on
     * every ForceImpl.
     *
     * @param context       the context in which to execute this kernel
     * @param includeForce  true if forces should be computed
     * @param includeEnergy true if potential energy should be computed
     * @param groups        a set of bit flags for which force groups to include
     * @param valid         the method may set this to false to indicate the results are invalid and the force/energy
     *                      calculation should be repeated
     * @return the potential energy of the system.  This value is added to all values returned by ForceImpls'
     * calcForcesAndEnergy() methods.  That is, each force kernel may <i>either</i> return its contribution to the
     * energy directly, <i>or</i> add it to an internal buffer so that it will be included here.
     */
    double finishComputation(ContextImpl& context, bool includeForce, bool includeEnergy, int groups, bool& valid);
private:
    class BeginComputationTask;
    class FinishComputationTask;
    CudaPlatform::PlatformData& data;
    std::vector<Kernel> kernels;
    std::vector<double> completionTimes;
    std::vector<double> contextNonbondedFractions;
    bool loadBalance;
    int2* interactionCounts;
    CudaArray contextForces;
    void* pinnedPositionBuffer;
    long long* pinnedForceBuffer;
    CUfunction sumKernel;
    CUevent event;
    std::vector<CUevent> peerCopyEvent;
    std::vector<CUevent> peerCopyEventLocal;
    std::vector<CUstream> peerCopyStream;
};

/**
 * This kernel is invoked by NonbondedForce to calculate the forces acting on the system.
 */
class CudaParallelCalcNonbondedForceKernel : public CalcNonbondedForceKernel {
public:
    CudaParallelCalcNonbondedForceKernel(std::string name, const Platform& platform, CudaPlatform::PlatformData& data, const System& system);
    CudaCalcNonbondedForceKernel& getKernel(int index) {
        return dynamic_cast<CudaCalcNonbondedForceKernel&>(kernels[index].getImpl());
    }
    /**
     * Initialize the kernel.
     *
     * @param system     the System this kernel will be applied to
     * @param force      the NonbondedForce this kernel will be used for
     */
    void initialize(const System& system, const NonbondedForce& force);
    /**
     * Execute the kernel to calculate the forces and/or energy.
     *
     * @param context        the context in which to execute this kernel
     * @param includeForces  true if forces should be calculated
     * @param includeEnergy  true if the energy should be calculated
     * @param includeReciprocal  true if reciprocal space interactions should be included
     * @param includeReciprocal  true if reciprocal space interactions should be included
     * @return the potential energy due to the force
     */
    double execute(ContextImpl& context, bool includeForces, bool includeEnergy, bool includeDirect, bool includeReciprocal);
    /**
     * Copy changed parameters over to a context.
     *
     * @param context        the context to copy parameters to
     * @param force          the NonbondedForce to copy the parameters from
     * @param firstParticle  the index of the first particle whose parameters might have changed
     * @param lastParticle   the index of the last particle whose parameters might have changed
     * @param firstException the index of the first exception whose parameters might have changed
     * @param lastException  the index of the last exception whose parameters might have changed
     */
    void copyParametersToContext(ContextImpl& context, const NonbondedForce& force, int firstParticle, int lastParticle, int firstException, int lastException);
    /**
     * Get the parameters being used for PME.
     * 
     * @param alpha   the separation parameter
     * @param nx      the number of grid points along the X axis
     * @param ny      the number of grid points along the Y axis
     * @param nz      the number of grid points along the Z axis
     */
    void getPMEParameters(double& alpha, int& nx, int& ny, int& nz) const;
    /**
     * Get the dispersion parameters being used for the dispersion term in LJPME.
     * 
     * @param alpha   the separation parameter
     * @param nx      the number of grid points along the X axis
     * @param ny      the number of grid points along the Y axis
     * @param nz      the number of grid points along the Z axis
     */
    void getLJPMEParameters(double& alpha, int& nx, int& ny, int& nz) const;
private:
    class Task;
    CudaPlatform::PlatformData& data;
    std::vector<Kernel> kernels;
};

} // namespace OpenMM

#endif /*OPENMM_CUDAPARALLELKERNELS_H_*/
