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/*! \internal \file
 *
 * \brief Implements Leap-Frog using CUDA
 *
 * This file contains CUDA implementation of back-end specific code for Leap-Frog.
 *
 * \author Artem Zhmurov <zhmurov@gmail.com>
 *
 * \ingroup module_mdlib
 */
#include "gmxpre.h"

#include "leapfrog_gpu_internal.h"

#include "gromacs/gpu_utils/cudautils.cuh"
#include "gromacs/gpu_utils/devicebuffer.h"
#include "gromacs/gpu_utils/typecasts_cuda_hip.h"
#include "gromacs/gpu_utils/vectype_ops_cuda.h"
#include "gromacs/mdtypes/group.h"
#include "gromacs/pbcutil/pbc.h"
#include "gromacs/pbcutil/pbc_aiuc_cuda.cuh"
#include "gromacs/utility/arrayref.h"
#include "gromacs/utility/template_mp.h"
#include "gromacs/utility/vec.h"

namespace gmx
{

/*!\brief Number of CUDA threads in a block
 *
 * \todo Check if using smaller block size will lead to better performance.
 */
constexpr static int c_threadsPerBlock = 256;
//! Maximum number of threads in a block (for __launch_bounds__)
constexpr static int c_maxThreadsPerBlock = c_threadsPerBlock;

/*! \brief Main kernel for Leap-Frog integrator.
 *
 *  The coordinates and velocities are updated on the GPU. Also saves the intermediate values of the coordinates for
 *   further use in constraints.
 *
 *  Each GPU thread works with a single particle. Empty declaration is needed to
 *  avoid "no previous prototype for function" clang warning.
 *
 *  \todo Check if the force should be set to zero here.
 *  \todo This kernel can also accumulate incidental temperatures for each atom.
 *
 * \tparam        numTempScaleValues               The number of different T-couple values.
 * \tparam        parrinelloRahmanVelocityScaling  The properties of the Parrinello-Rahman velocity scaling matrix.
 * \param[in]     numAtoms                         Total number of atoms.
 * \param[in,out] gm_x                             Coordinates to update upon integration.
 * \param[out]    gm_x0                            A copy of the coordinates before the integration (for constraints).
 * \param[in,out] gm_v                             Velocities to update.
 * \param[in]     gm_f                             Atomic forces.
 * \param[in]     gm_inverseMasses                 Reciprocal masses.
 * \param[in]     dt                               Timestep.
 * \param[in]     gm_lambdas                       Temperature scaling factors (one per group)
 * \param[in]     gm_tempScaleGroups               Mapping of atoms into groups.
 * \param[in]     prVelocityScalingMatrixDiagonal  Diagonal elements of Parrinello-Rahman velocity scaling matrix
 */
template<NumTempScaleValues numTempScaleValues, ParrinelloRahmanVelocityScaling parrinelloRahmanVelocityScaling>
__launch_bounds__(c_maxThreadsPerBlock) __global__
        void leapFrogKernel(const int numAtoms,
                            float3* __restrict__ gm_x,
                            float3* __restrict__ gm_x0,
                            float3* __restrict__ gm_v,
                            const float3* __restrict__ gm_f,
                            const float* __restrict__ gm_inverseMasses,
                            const float dt,
                            const float* __restrict__ gm_lambdas,
                            const unsigned short* __restrict__ gm_tempScaleGroups,
                            const float3 prVelocityScalingMatrixDiagonal)
{
    int threadIndex = blockIdx.x * blockDim.x + threadIdx.x;
    if (threadIndex < numAtoms)
    {
        float3 x    = gm_x[threadIndex];
        float3 v    = gm_v[threadIndex];
        float3 f    = gm_f[threadIndex];
        float  im   = gm_inverseMasses[threadIndex];
        float  imdt = im * dt;

        gm_x0[threadIndex] = x;

        if constexpr (numTempScaleValues != NumTempScaleValues::None
                      || parrinelloRahmanVelocityScaling != ParrinelloRahmanVelocityScaling::No)
        {
            float3 vp = v;

            if constexpr (numTempScaleValues != NumTempScaleValues::None)
            {
                float lambda = 1.0F;
                if constexpr (numTempScaleValues == NumTempScaleValues::Single)
                {
                    lambda = gm_lambdas[0];
                }
                else if constexpr (numTempScaleValues == NumTempScaleValues::Multiple)
                {
                    int tempScaleGroup = gm_tempScaleGroups[threadIndex];
                    lambda             = gm_lambdas[tempScaleGroup];
                }
                vp *= lambda;
            }

            if constexpr (parrinelloRahmanVelocityScaling == ParrinelloRahmanVelocityScaling::Diagonal)
            {
                vp.x -= prVelocityScalingMatrixDiagonal.x * v.x;
                vp.y -= prVelocityScalingMatrixDiagonal.y * v.y;
                vp.z -= prVelocityScalingMatrixDiagonal.z * v.z;
            }

            v = vp;
        }

        v += f * imdt;

        x += v * dt;
        gm_v[threadIndex] = v;
        gm_x[threadIndex] = x;
    }
}

void launchLeapFrogKernel(const int                             numAtoms,
                          DeviceBuffer<Float3>                  d_x,
                          DeviceBuffer<Float3>                  d_xp,
                          DeviceBuffer<Float3>                  d_v,
                          const DeviceBuffer<Float3>            d_f,
                          const DeviceBuffer<float>             d_inverseMasses,
                          const float                           dt,
                          const bool                            doTemperatureScaling,
                          const int                             numTempScaleValues,
                          const DeviceBuffer<unsigned short>    d_tempScaleGroups,
                          const DeviceBuffer<float>             d_lambdas,
                          const ParrinelloRahmanVelocityScaling parrinelloRahmanVelocityScaling,
                          const Float3                          prVelocityScalingMatrixDiagonal,
                          const DeviceStream&                   deviceStream)
{
    // Checking the buffer types against the kernel argument types
    static_assert(sizeof(*d_inverseMasses) == sizeof(float), "Incompatible types");

    KernelLaunchConfig kernelLaunchConfig;

    kernelLaunchConfig.gridSize[0]      = divideRoundUp(numAtoms, c_threadsPerBlock);
    kernelLaunchConfig.blockSize[0]     = c_threadsPerBlock;
    kernelLaunchConfig.blockSize[1]     = 1;
    kernelLaunchConfig.blockSize[2]     = 1;
    kernelLaunchConfig.sharedMemorySize = 0;

    gmx::dispatchTemplatedFunction(
            [&](auto tempScalingType_, auto pressureScalingType_)
            {
                auto kernelPtr = leapFrogKernel<tempScalingType_, pressureScalingType_>;

                const auto kernelArgs = prepareGpuKernelArguments(kernelPtr,
                                                                  kernelLaunchConfig,
                                                                  &numAtoms,
                                                                  asFloat3Pointer(&d_x),
                                                                  asFloat3Pointer(&d_xp),
                                                                  asFloat3Pointer(&d_v),
                                                                  asFloat3Pointer(&d_f),
                                                                  &d_inverseMasses,
                                                                  &dt,
                                                                  &d_lambdas,
                                                                  &d_tempScaleGroups,
                                                                  &prVelocityScalingMatrixDiagonal);
                launchGpuKernel(
                        kernelPtr, kernelLaunchConfig, deviceStream, nullptr, "leapfrog_kernel", kernelArgs);
            },
            getTempScalingType(doTemperatureScaling, numTempScaleValues),
            parrinelloRahmanVelocityScaling);
}

} // namespace gmx
