nbnxm_sycl_kernel_body.h File Reference

#include "gromacs/gpu_utils/device_utils_hip_sycl.h"
#include "gromacs/gpu_utils/devicebuffer.h"
#include "gromacs/gpu_utils/gmxsycl.h"
#include "gromacs/math/functions.h"
#include "gromacs/mdtypes/simulation_workload.h"
#include "gromacs/nbnxm/nbnxm_enums.h"
#include "gromacs/nbnxm/nbnxm_kernel_utils.h"
#include "gromacs/pbcutil/ishift.h"
#include "gromacs/utility/template_mp.h"
#include "nbnxm_sycl_kernel.h"
#include "nbnxm_sycl_kernel_utils.h"
#include "nbnxm_sycl_types.h"

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Description

NBNXM SYCL kernels.

Classes
class	gmx::NbnxmKernel< doPruneNBL, doCalcEnergies, elecType, vdwType, subGroupSize >
	Class name for NBNXM kernel. More...

Macros
#define	GMX_NBNXM_ENABLE_PACKED_FLOAT3   1
	Macro to control the enablement of manually-packed Float3 structure. More...

Typedefs
using	gmx::FCiFloat3 = Float3

Functions
constexpr bool	gmx::c_avoidFloatingPointAtomics (PairlistType layoutType)
	Should we avoid FP atomics to the same location from the same work-group? More...
static void	gmx::reduceForceJShuffle (Float3 f, const sycl::nd_item< 3 > &itemIdx, const int tidxi, const int aidx, sycl::global_ptr< Float3 > a_f)
	Reduce c_clSize j-force components using shifts and atomically accumulate into a_f. More...
template<int subGroupSize, int groupSize>
static float	gmx::groupReduce (const sycl::nd_item< 3 > itemIdx, const unsigned int tidxi, sycl::local_ptr< float > sm_buf, float valueToReduce)
	Do workgroup-level reduction of a single float. More...
static void	gmx::reduceForceJGeneric (sycl::local_ptr< float > sm_buf, Float3 f, const sycl::nd_item< 3 > &itemIdx, const int tidxi, const int tidxj, const int aidx, sycl::global_ptr< Float3 > a_f)
	Reduce c_clSize j-force components using local memory and atomically accumulate into a_f. More...
template<bool useShuffleReduction>
static void	gmx::reduceForceJ (sycl::local_ptr< float > sm_buf, Float3 f, const sycl::nd_item< 3 > itemIdx, const int tidxi, const int tidxj, const int aidx, sycl::global_ptr< Float3 > a_f)
	Reduce c_clSize j-force components using either shifts or local memory and atomically accumulate into a_f.
template<typename FCiBufferWrapperX , typename FCiBufferWrapperY , typename FCiBufferWrapperZ >
static void	gmx::reduceForceIAndFShiftGeneric (sycl::local_ptr< float > sm_buf, const FCiBufferWrapperX &fCiBufX, const FCiBufferWrapperY &fCiBufY, const FCiBufferWrapperZ &fCiBufZ, const bool calcFShift, const sycl::nd_item< 3 > itemIdx, const int tidxi, const int tidxj, const int sci, const int shift, sycl::global_ptr< Float3 > a_f, sycl::global_ptr< Float3 > a_fShift)
	Local memory-based i-force reduction. More...
template<int numShuffleReductionSteps, typename FCiBufferWrapperX , typename FCiBufferWrapperY , typename FCiBufferWrapperZ >
static std::enable_if_t < numShuffleReductionSteps!=1, void >	gmx::reduceForceIAndFShiftShuffles (const FCiBufferWrapperX &fCiBufX, const FCiBufferWrapperY &fCiBufY, const FCiBufferWrapperZ &fCiBufZ, const bool calcFShift, const sycl::nd_item< 3 > itemIdx, const int tidxi, const int tidxj, const int sci, const int shift, sycl::global_ptr< Float3 > a_f, sycl::global_ptr< Float3 > a_fShift)
	Shuffle-based i-force reduction. More...
template<int numShuffleReductionSteps, typename FCiBufferWrapperX , typename FCiBufferWrapperY , typename FCiBufferWrapperZ >
static std::enable_if_t < numShuffleReductionSteps==1, void >	gmx::reduceForceIAndFShiftShuffles (const FCiBufferWrapperX &fCiBufX, const FCiBufferWrapperY &fCiBufY, const FCiBufferWrapperZ &fCiBufZ, const bool calcFShift, const sycl::nd_item< 3 > itemIdx, const int tidxi, const int tidxj, const int sci, const int shift, sycl::global_ptr< Float3 > a_f, sycl::global_ptr< Float3 > a_fShift)
	reduceForceIAndFShiftShuffles specialization for single-step reduction (e.g., Intel iGPUs). More...
template<bool useShuffleReduction, int subGroupSize, typename FCiBufferWrapperX , typename FCiBufferWrapperY , typename FCiBufferWrapperZ >
static void	gmx::reduceForceIAndFShift (sycl::local_ptr< float > sm_buf, const FCiBufferWrapperX &fCiBufX, const FCiBufferWrapperY &fCiBufY, const FCiBufferWrapperZ &fCiBufZ, const bool calcFShift, const sycl::nd_item< 3 > itemIdx, const int tidxi, const int tidxj, const int sci, const int shift, sycl::global_ptr< Float3 > a_f, sycl::global_ptr< Float3 > a_fShift)
	Final i-force reduction. More...
template<int subGroupSize, bool doPruneNBL, bool doCalcEnergies, enum ElecType elecType, enum VdwType vdwType>
static auto	gmx::nbnxmKernel (sycl::handler &cgh, const Float4 *__restrict__ gm_xq, Float3 *__restrict__ gm_f, const Float3 *__restrict__ gm_shiftVec, Float3 *__restrict__ gm_fShift, float *__restrict__ gm_energyElec, float *__restrict__ gm_energyVdw, nbnxn_cj_packed_t *__restrict__ gm_plistCJPacked, const nbnxn_sci_t *__restrict__ gm_plistSci, const nbnxn_excl_t *__restrict__ gm_plistExcl, const Float2 *__restrict__ gm_ljComb, const int *__restrict__ gm_atomTypes, const Float2 *__restrict__ gm_nbfp, const Float2 *__restrict__ gm_nbfpComb, const float *__restrict__ gm_coulombTab, int *__restrict__ gm_sciHistogram, int *__restrict__ gm_sciCount, const int numTypes, const float rCoulombSq, const float rVdwSq, const float twoKRf, const float ewaldBeta, const float rlistOuterSq, const float ewaldShift, const float epsFac, const float ewaldCoeffLJ_2, const float cRF, const shift_consts_t dispersionShift, const shift_consts_t repulsionShift, const switch_consts_t vdwSwitch, const float rVdwSwitch, const float ljEwaldShift, const float coulombTabScale, const bool calcShift)
	Main kernel for NBNXM. More...
template<int subGroupSize, bool doPruneNBL, bool doCalcEnergies, enum ElecType elecType, enum VdwType vdwType, class... Args>
static void	gmx::launchNbnxmKernel (const DeviceStream &deviceStream, const int numSci, Args &&...args)
	NBNXM kernel launch code.
template<int subGroupSize, bool doPruneNBL, bool doCalcEnergies, class... Args>
void	gmx::chooseAndLaunchNbnxmKernel (enum ElecType elecType, enum VdwType vdwType, Args &&...args)
	Select templated kernel and launch it.
template<bool isMultiGpuBoard, bool doPruneNBL, bool doCalcEnergies>
void	gmx::launchNbnxmKernelHelper (NbnxmGpu *nb, const StepWorkload &stepWork, InteractionLocality iloc)

Macro Definition Documentation

#define GMX_NBNXM_ENABLE_PACKED_FLOAT3   1

Macro to control the enablement of manually-packed Float3 structure.

If enabled (default), the explicit packed math will be used on devices where it is known to be beneficial (currently, AMD MI250X / gfx90a). If disabled, packed math will never be explicitly used.

This only controls the use of AmdPackedFloat3 datastructure, not the layout of fCi buffer.

See issue #4854