Integrate GROMACS GPU implementation into master branch
Signed-off-by: Rafael Ravedutti <rafaelravedutti@gmail.com>
This commit is contained in:
@@ -11,29 +11,43 @@
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#define DELTA 20000
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#define CLUSTER_M 4
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// Nbnxn layouts (as of GROMACS):
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// Simd4xN: M=4, N=VECTOR_WIDTH
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// Simd2xNN: M=4, N=(VECTOR_WIDTH/2)
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// Cuda: M=8, N=VECTOR_WIDTH
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// Simd2xNN (here used for single-precision)
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#if VECTOR_WIDTH > CLUSTER_M * 2
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# define KERNEL_NAME "Simd2xNN"
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# define CLUSTER_N (VECTOR_WIDTH / 2)
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# define computeForceLJ computeForceLJ_2xnn
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// Simd4xN
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#else
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# define KERNEL_NAME "Simd4xN"
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#ifdef CUDA_TARGET
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# undef VECTOR_WIDTH
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# define VECTOR_WIDTH 8
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# define KERNEL_NAME "CUDA"
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# define CLUSTER_M 8
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# define CLUSTER_N VECTOR_WIDTH
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# define computeForceLJ computeForceLJ_4xn
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#endif
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#ifdef USE_REFERENCE_VERSION
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# undef KERNEL_NAME
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# undef computeForceLJ
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# define KERNEL_NAME "Reference"
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# define computeForceLJ computeForceLJ_ref
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# define computeForceLJ computeForceLJ_cuda
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# define initialIntegrate cudaInitialIntegrate
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# define finalIntegrate cudaFinalIntegrate
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# define updatePbc cudaUpdatePbc
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#else
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# define CLUSTER_M 4
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// Simd2xNN (here used for single-precision)
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# if VECTOR_WIDTH > CLUSTER_M * 2
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# define KERNEL_NAME "Simd2xNN"
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# define CLUSTER_N (VECTOR_WIDTH / 2)
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# define computeForceLJ computeForceLJ_2xnn
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// Simd4xN
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# else
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# define KERNEL_NAME "Simd4xN"
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# define CLUSTER_N VECTOR_WIDTH
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# define computeForceLJ computeForceLJ_4xn
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# endif
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# ifdef USE_REFERENCE_VERSION
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# undef KERNEL_NAME
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# undef computeForceLJ
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# define KERNEL_NAME "Reference"
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# define computeForceLJ computeForceLJ_ref
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# endif
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# define initialIntegrate cpuInitialIntegrate
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# define finalIntegrate cpuFinalIntegrate
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# define updatePbc cpuUpdatePbc
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#endif
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#if CLUSTER_M == CLUSTER_N
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56
gromacs/includes/integrate.h
Normal file
56
gromacs/includes/integrate.h
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@@ -0,0 +1,56 @@
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/*
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* Copyright (C) 2022 NHR@FAU, University Erlangen-Nuremberg.
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* All rights reserved. This file is part of MD-Bench.
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* Use of this source code is governed by a LGPL-3.0
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* license that can be found in the LICENSE file.
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*/
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#include <stdbool.h>
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//---
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#include <atom.h>
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#include <parameter.h>
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#include <util.h>
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void cpuInitialIntegrate(Parameter *param, Atom *atom) {
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DEBUG_MESSAGE("cpuInitialIntegrate start\n");
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for(int ci = 0; ci < atom->Nclusters_local; ci++) {
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int ci_vec_base = CI_VECTOR_BASE_INDEX(ci);
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MD_FLOAT *ci_x = &atom->cl_x[ci_vec_base];
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MD_FLOAT *ci_v = &atom->cl_v[ci_vec_base];
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MD_FLOAT *ci_f = &atom->cl_f[ci_vec_base];
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for(int cii = 0; cii < atom->iclusters[ci].natoms; cii++) {
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ci_v[CL_X_OFFSET + cii] += param->dtforce * ci_f[CL_X_OFFSET + cii];
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ci_v[CL_Y_OFFSET + cii] += param->dtforce * ci_f[CL_Y_OFFSET + cii];
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ci_v[CL_Z_OFFSET + cii] += param->dtforce * ci_f[CL_Z_OFFSET + cii];
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ci_x[CL_X_OFFSET + cii] += param->dt * ci_v[CL_X_OFFSET + cii];
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ci_x[CL_Y_OFFSET + cii] += param->dt * ci_v[CL_Y_OFFSET + cii];
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ci_x[CL_Z_OFFSET + cii] += param->dt * ci_v[CL_Z_OFFSET + cii];
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}
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}
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DEBUG_MESSAGE("cpuInitialIntegrate end\n");
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}
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void cpuFinalIntegrate(Parameter *param, Atom *atom) {
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DEBUG_MESSAGE("cpuFinalIntegrate start\n");
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for(int ci = 0; ci < atom->Nclusters_local; ci++) {
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int ci_vec_base = CI_VECTOR_BASE_INDEX(ci);
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MD_FLOAT *ci_v = &atom->cl_v[ci_vec_base];
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MD_FLOAT *ci_f = &atom->cl_f[ci_vec_base];
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for(int cii = 0; cii < atom->iclusters[ci].natoms; cii++) {
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ci_v[CL_X_OFFSET + cii] += param->dtforce * ci_f[CL_X_OFFSET + cii];
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ci_v[CL_Y_OFFSET + cii] += param->dtforce * ci_f[CL_Y_OFFSET + cii];
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ci_v[CL_Z_OFFSET + cii] += param->dtforce * ci_f[CL_Z_OFFSET + cii];
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}
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}
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DEBUG_MESSAGE("cpuFinalIntegrate end\n");
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}
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#ifdef CUDA_TARGET
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void cudaInitialIntegrate(Parameter*, Atom*);
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void cudaFinalIntegrate(Parameter*, Atom*);
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#endif
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@@ -10,7 +10,11 @@
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#ifndef __PBC_H_
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#define __PBC_H_
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extern void initPbc();
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extern void updatePbc(Atom*, Parameter*, int);
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extern void cpuUpdatePbc(Atom*, Parameter*, int);
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extern void updateAtomsPbc(Atom*, Parameter*);
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extern void setupPbc(Atom*, Parameter*);
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#ifdef CUDA_TARGET
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extern void cudaUpdatePbc(Atom*, Parameter*, int);
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#endif
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#endif
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