Fix cmake policy warning

[alexxy/gromacs.git] / src / gromacs / ewald / pme_gather.clh

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/*! \internal \file
 *  \brief Implements PME OpenCL force gathering kernel.
 * When including this and other PME OpenCL kernel files, plenty of common
 * constants/macros are expected to be defined (such as "order" which is PME interpolation order).
 * For details, please see how pme_program.cl is compiled in pme_gpu_program_impl_ocl.cpp.
 *
 * This file's kernels specifically expect the following definitions:
 *
 * - atomsPerBlock which expresses how many atoms are processed by a single work group
 * - order which is a PME interpolation order
 * - overwriteForces must evaluate to either true or false to specify whether the kernel
 * overwrites or reduces into the forces buffer
 * - wrapX and wrapY must evaluate to either true or false to specify whether the grid overlap
 * in dimension X/Y is to be used
 *
 *  \author Aleksei Iupinov <a.yupinov@gmail.com>
 */

#include "pme_gpu_types.h"
#include "pme_gpu_utils.clh"

#ifndef COMPILE_GATHER_HELPERS_ONCE
#define COMPILE_GATHER_HELPERS_ONCE

/*! \brief
 * Unrolls the dynamic index accesses to the constant grid sizes to avoid local memory operations.
 */
inline float read_grid_size(const float *realGridSizeFP,
                            const int    dimIndex)
{
    switch (dimIndex)
    {
        case XX: return realGridSizeFP[XX];
        case YY: return realGridSizeFP[YY];
        case ZZ: return realGridSizeFP[ZZ];
    }
    assert(false);
    return 0.0f;
}

/*! \brief Reduce the partial force contributions.
 *
 * FIXME: this reduction should be simplified and improved, it does 3x16 force component
 *        reduction per 16 threads so no extra shared mem should be needed for intermediates
 *        or passing results back.
 *
 * \param[out]      sm_forces          Local memory array with the output forces (rvec).
 * \param[in]       atomIndexLocal     Local atom index
 * \param[in]       splineIndex        Spline index
 * \param[in]       lineIndex          Line index (same as threadLocalId)
 * \param[in]       realGridSizeFP     Local grid size constant
 * \param[in]       fx                 Input force partial component X
 * \param[in]       fy                 Input force partial component Y
 * \param[in]       fz                 Input force partial component Z
 * \param[in,out]   sm_forceReduction  Reduction working buffer
 * \param[in]       sm_forceTemp       Convenience pointers into \p sm_forceReduction
 */
inline void reduce_atom_forces(__local float * __restrict__  sm_forces,
                               const int                     atomIndexLocal,
                               const int                     splineIndex,
                               const int                     lineIndex,
                               const float                  *realGridSizeFP,
                               float                         fx,
                               float                         fy,
                               float                         fz,
                               __local float * __restrict__  sm_forceReduction,
                               __local float ** __restrict__ sm_forceTemp
                               )

{
    // TODO: implement AMD intrinsics reduction, like with shuffles in CUDA version. #2514

    /* Number of data components and threads for a single atom */
#define atomDataSize threadsPerAtom
    // We use blockSize local memory elements to read fx, or fy, or fz, and then reduce them to fit into smemPerDim elements
    // All those guys are defines and not consts, because they go into the local memory array size.
#define blockSize (atomsPerBlock * atomDataSize)
#define smemPerDim warp_size
#define smemReserved  (DIM * smemPerDim)

    const int numWarps  = blockSize / smemPerDim;
    const int minStride = max(1, atomDataSize / numWarps);

#pragma unroll DIM
    for (int dimIndex = 0; dimIndex < DIM; dimIndex++)
    {
        int elementIndex = smemReserved + lineIndex;
        // Store input force contributions
        sm_forceReduction[elementIndex] = (dimIndex == XX) ? fx : (dimIndex == YY) ? fy : fz;
        /* This barrier was not needed in CUDA. Different OpenCL compilers might have different ideas
         * about #pragma unroll, though. OpenCL 2 has _attribute__((opencl_unroll_hint)).
         * #2519
         */
        barrier(CLK_LOCAL_MEM_FENCE);

        // Reduce to fit into smemPerDim (warp size)
#pragma unroll
        for (int redStride = atomDataSize >> 1; redStride > minStride; redStride >>= 1)
        {
            if (splineIndex < redStride)
            {
                sm_forceReduction[elementIndex] += sm_forceReduction[elementIndex + redStride];
            }
        }
        barrier(CLK_LOCAL_MEM_FENCE);
        // Last iteration - packing everything to be nearby, storing convenience pointer
        sm_forceTemp[dimIndex] = sm_forceReduction + dimIndex * smemPerDim;
        int redStride = minStride;
        if (splineIndex < redStride)
        {
            const int packedIndex = atomIndexLocal * redStride + splineIndex;
            sm_forceTemp[dimIndex][packedIndex] = sm_forceReduction[elementIndex] + sm_forceReduction[elementIndex + redStride];
        }
    }

    barrier(CLK_LOCAL_MEM_FENCE);

    assert ((blockSize / warp_size) >= DIM);

    const int warpIndex = lineIndex / warp_size;
    const int dimIndex  = warpIndex;

    // First 3 warps can now process 1 dimension each
    if (dimIndex < DIM)
    {
        int sourceIndex = lineIndex % warp_size;
#pragma unroll
        for (int redStride = minStride >> 1; redStride > 1; redStride >>= 1)
        {
            if (!(splineIndex & redStride))
            {
                sm_forceTemp[dimIndex][sourceIndex] += sm_forceTemp[dimIndex][sourceIndex + redStride];
            }
        }

        const float n = read_grid_size(realGridSizeFP, dimIndex);

        const int   atomIndex = sourceIndex / minStride;
        if (sourceIndex == minStride * atomIndex)
        {
            sm_forces[atomIndex * DIM + dimIndex] = (sm_forceTemp[dimIndex][sourceIndex] + sm_forceTemp[dimIndex][sourceIndex + 1]) * n;
        }
    }
}

#endif //COMPILE_GATHER_HELPERS_ONCE

/*! \brief
 * An OpenCL kernel which gathers the atom forces from the grid.
 * The grid is assumed to be wrapped in dimension Z.
 * Please see the file description for additional defines which this kernel expects.
 *
 * \param[in]     kernelParams         All the PME GPU data.
 * \param[in]     gm_coefficients      Atom charges/coefficients.
 * \param[in]     gm_grid              Global 3D grid.
 * \param[in]     gm_theta             Atom spline parameter values
 * \param[in]     gm_dtheta            Atom spline parameter derivatives
 * \param[in]     gm_gridlineIndices   Atom gridline indices (ivec)
 * \param[in,out] gm_forces            Atom forces (rvec)
 */
__attribute__((reqd_work_group_size(order, order, atomsPerBlock)))
__kernel void CUSTOMIZED_KERNEL_NAME(pme_gather_kernel)(const struct PmeOpenCLKernelParams   kernelParams,
                                                        __global const float * __restrict__  gm_coefficients,
                                                        __global const float * __restrict__  gm_grid,
                                                        __global const float * __restrict__  gm_theta,
                                                        __global const float * __restrict__  gm_dtheta,
                                                        __global const int * __restrict__    gm_gridlineIndices,
                                                        __global float * __restrict__        gm_forces
                                                        )
{
    /* These are the atom indices - for the shared and global memory */
    const int         atomIndexLocal    = get_local_id(ZZ);
    const int         atomIndexOffset   = get_group_id(XX) * atomsPerBlock;
    const int         atomIndexGlobal   = atomIndexOffset + atomIndexLocal;

    /* Some sizes which are defines and not consts because they go into the array size */
    #define blockSize (atomsPerBlock * atomDataSize)
    assert(blockSize == (get_local_size(0) * get_local_size(1) * get_local_size(2)));
    #define smemPerDim warp_size
    #define smemReserved  (DIM * smemPerDim)
    #define totalSharedMemory (smemReserved + blockSize)
    #define gridlineIndicesSize (atomsPerBlock * DIM)
    #define splineParamsSize (atomsPerBlock * DIM * order)

    __local int    sm_gridlineIndices[gridlineIndicesSize];
    __local float2 sm_splineParams[splineParamsSize]; /* Theta/dtheta pairs  as .x/.y */

    /* Spline Y/Z coordinates */
    const int ithy = get_local_id(YY);
    const int ithz = get_local_id(XX);

    const int threadLocalId = (get_local_id(2) * get_local_size(1) + get_local_id(1)) * get_local_size(0) + get_local_id(0);

    /* These are the spline contribution indices in shared memory */
    const int splineIndex = (get_local_id(1) * get_local_size(0) + get_local_id(0)); /* Relative to the current particle , 0..15 for order 4 */
    const int lineIndex   = threadLocalId;                                           /* And to all the block's particles */

    /* Staging the atom gridline indices, DIM * atomsPerBlock threads */
    const int localGridlineIndicesIndex  = threadLocalId;
    const int globalGridlineIndicesIndex = get_group_id(XX) * gridlineIndicesSize + localGridlineIndicesIndex;
    const int globalCheckIndices         = pme_gpu_check_atom_data_index(globalGridlineIndicesIndex, kernelParams.atoms.nAtoms * DIM);
    if ((localGridlineIndicesIndex < gridlineIndicesSize) & globalCheckIndices)
    {
        sm_gridlineIndices[localGridlineIndicesIndex] = gm_gridlineIndices[globalGridlineIndicesIndex];
        assert(sm_gridlineIndices[localGridlineIndicesIndex] >= 0);
    }
    /* Staging the spline parameters, DIM * order * atomsPerBlock threads */
    const int localSplineParamsIndex  = threadLocalId;
    const int globalSplineParamsIndex = get_group_id(XX) * splineParamsSize + localSplineParamsIndex;
    const int globalCheckSplineParams = pme_gpu_check_atom_data_index(globalSplineParamsIndex, kernelParams.atoms.nAtoms * DIM * order);
    if ((localSplineParamsIndex < splineParamsSize) && globalCheckSplineParams)
    {
        sm_splineParams[localSplineParamsIndex].x = gm_theta[globalSplineParamsIndex];
        sm_splineParams[localSplineParamsIndex].y = gm_dtheta[globalSplineParamsIndex];
        assert(isfinite(sm_splineParams[localSplineParamsIndex].x));
        assert(isfinite(sm_splineParams[localSplineParamsIndex].y));
    }
    barrier(CLK_LOCAL_MEM_FENCE);

    float           fx = 0.0f;
    float           fy = 0.0f;
    float           fz = 0.0f;

    const int       globalCheck = pme_gpu_check_atom_data_index(atomIndexGlobal, kernelParams.atoms.nAtoms);
    const int       chargeCheck = pme_gpu_check_atom_charge(gm_coefficients[atomIndexGlobal]);

    if (chargeCheck & globalCheck)
    {
        const int    nx        = kernelParams.grid.realGridSize[XX];
        const int    ny        = kernelParams.grid.realGridSize[YY];
        const int    nz        = kernelParams.grid.realGridSize[ZZ];
        const int    pny       = kernelParams.grid.realGridSizePadded[YY];
        const int    pnz       = kernelParams.grid.realGridSizePadded[ZZ];

        const int    atomWarpIndex = atomIndexLocal % atomsPerWarp;
        const int    warpIndex     = atomIndexLocal / atomsPerWarp;

        const int    splineIndexBase = getSplineParamIndexBase(warpIndex, atomWarpIndex);
        const int    splineIndexY    = getSplineParamIndex(splineIndexBase, YY, ithy);
        const float2 tdy             = sm_splineParams[splineIndexY];
        const int    splineIndexZ    = getSplineParamIndex(splineIndexBase, ZZ, ithz);
        const float2 tdz             = sm_splineParams[splineIndexZ];

        const int    ixBase         = sm_gridlineIndices[atomIndexLocal * DIM + XX];
        int          iy             = sm_gridlineIndices[atomIndexLocal * DIM + YY] + ithy;
        if (wrapY & (iy >= ny))
        {
            iy -= ny;
        }
        int iz  = sm_gridlineIndices[atomIndexLocal * DIM + ZZ] + ithz;
        if (iz >= nz)
        {
            iz -= nz;
        }
        const int constOffset    = iy * pnz + iz;

#pragma unroll order
        for (int ithx = 0; (ithx < order); ithx++)
        {
            int ix = ixBase + ithx;
            if (wrapX & (ix >= nx))
            {
                ix -= nx;
            }
            const int     gridIndexGlobal  = ix * pny * pnz + constOffset;
            assert(gridIndexGlobal >= 0);
            const float   gridValue    = gm_grid[gridIndexGlobal];
            assert(isfinite(gridValue));
            const int     splineIndexX = getSplineParamIndex(splineIndexBase, XX, ithx);
            const float2  tdx          = sm_splineParams[splineIndexX];
            const float   fxy1         = tdz.x * gridValue;
            const float   fz1          = tdz.y * gridValue;
            fx += tdx.y * tdy.x * fxy1;
            fy += tdx.x * tdy.y * fxy1;
            fz += tdx.x * tdy.x * fz1;
        }
    }

    // Reduction of partial force contributions
    __local float  sm_forces[atomsPerBlock * DIM];

    __local float  sm_forceReduction[totalSharedMemory];
    __local float *sm_forceTemp[DIM];

    reduce_atom_forces(sm_forces,
                       atomIndexLocal, splineIndex, lineIndex,
                       kernelParams.grid.realGridSizeFP,
                       fx, fy, fz,
                       sm_forceReduction,
                       sm_forceTemp);
    barrier(CLK_LOCAL_MEM_FENCE);

    /* Calculating the final forces with no component branching, atomsPerBlock threads */
    const int forceIndexLocal  = threadLocalId;
    const int forceIndexGlobal = atomIndexOffset + forceIndexLocal;
    const int calcIndexCheck   = pme_gpu_check_atom_data_index(forceIndexGlobal, kernelParams.atoms.nAtoms);
    if ((forceIndexLocal < atomsPerBlock) & calcIndexCheck)
    {
        const float3  atomForces     = vload3(forceIndexLocal, sm_forces);
        const float   negCoefficient = -gm_coefficients[forceIndexGlobal];
        float3        result;
        result.x      = negCoefficient * kernelParams.current.recipBox[XX][XX] * atomForces.x;
        result.y      = negCoefficient * (kernelParams.current.recipBox[XX][YY] * atomForces.x +
                                          kernelParams.current.recipBox[YY][YY] * atomForces.y);
        result.z      = negCoefficient * (kernelParams.current.recipBox[XX][ZZ] * atomForces.x +
                                          kernelParams.current.recipBox[YY][ZZ] * atomForces.y +
                                          kernelParams.current.recipBox[ZZ][ZZ] * atomForces.z);
        vstore3(result, forceIndexLocal, sm_forces);
    }

#if !defined(_AMD_SOURCE_) && !defined(_NVIDIA_SOURCE_)
    /* This is only here for execution of e.g. 32-sized warps on 16-wide hardware; this was gmx_syncwarp() in CUDA.
     * #2519
     */
    barrier(CLK_LOCAL_MEM_FENCE);
#endif

    assert(atomsPerBlock <= warp_size);

    /* Writing or adding the final forces component-wise, single warp */
    const int blockForcesSize = atomsPerBlock * DIM;
    const int numIter         = (blockForcesSize + warp_size - 1) / warp_size;
    const int iterThreads     = blockForcesSize / numIter;
    if (threadLocalId < iterThreads)
    {
#pragma unroll
        for (int i = 0; i < numIter; i++)
        {
            const int outputIndexLocal  = i * iterThreads + threadLocalId;
            const int outputIndexGlobal = get_group_id(XX) * blockForcesSize + outputIndexLocal;
            const int globalOutputCheck = pme_gpu_check_atom_data_index(outputIndexGlobal, kernelParams.atoms.nAtoms * DIM);
            if (globalOutputCheck)
            {
                const float outputForceComponent = sm_forces[outputIndexLocal];
                if (overwriteForces)
                {
                    gm_forces[outputIndexGlobal] = outputForceComponent;
                }
                else
                {
                    gm_forces[outputIndexGlobal] += outputForceComponent;
                }
            }
        }
    }
}