Integrate GROMACS GPU implementation into master branch
Signed-off-by: Rafael Ravedutti <rafaelravedutti@gmail.com>
This commit is contained in:
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common/device.c
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68
common/device.c
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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 <stdio.h>
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#include <stdlib.h>
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//---
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#include <device.h>
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#ifdef CUDA_TARGET
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#include <cuda_runtime.h>
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void cuda_assert(const char *label, cudaError_t err) {
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if (err != cudaSuccess) {
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printf("[CUDA Error]: %s: %s\r\n", label, cudaGetErrorString(err));
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exit(-1);
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}
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}
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void *allocateGPU(size_t bytesize) {
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void *ptr;
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#ifdef CUDA_HOST_MEMORY
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cuda_assert("allocateGPU", cudaMallocHost((void **) &ptr, bytesize));
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#else
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cuda_assert("allocateGPU", cudaMalloc((void **) &ptr, bytesize));
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#endif
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return ptr;
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}
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// Data is not preserved
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void *reallocateGPU(void *ptr, size_t new_bytesize) {
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if(ptr != NULL) {
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#ifdef CUDA_HOST_MEMORY
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cudaFreeHost(ptr);
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#else
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cudaFree(ptr);
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#endif
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}
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return allocateGPU(new_bytesize);
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}
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void memcpyToGPU(void *d_ptr, void *h_ptr, size_t bytesize) {
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#ifndef CUDA_HOST_MEMORY
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cuda_assert("memcpyToGPU", cudaMemcpy(d_ptr, h_ptr, bytesize, cudaMemcpyHostToDevice));
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#endif
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}
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void memcpyFromGPU(void *h_ptr, void *d_ptr, size_t bytesize) {
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#ifndef CUDA_HOST_MEMORY
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cuda_assert("memcpyFromGPU", cudaMemcpy(h_ptr, d_ptr, bytesize, cudaMemcpyDeviceToHost));
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#endif
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}
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void memsetGPU(void *d_ptr, int value, size_t bytesize) {
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cuda_assert("memsetGPU", cudaMemset(d_ptr, value, bytesize));
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}
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#else
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void initDevice(Atom *atom, Neighbor *neighbor) {}
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void *allocateGPU(size_t bytesize) { return NULL; }
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void *reallocateGPU(void *ptr, size_t new_bytesize) { return NULL; }
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void memcpyToGPU(void *d_ptr, void *h_ptr, size_t bytesize) {}
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void memcpyFromGPU(void *h_ptr, void *d_ptr, size_t bytesize) {}
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void memsetGPU(void *d_ptr, int value, size_t bytesize) {}
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#endif
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26
common/includes/device.h
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26
common/includes/device.h
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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 <stddef.h>
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//---
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#include <atom.h>
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#include <neighbor.h>
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#ifndef __DEVICE_H_
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#define __DEVICE_H_
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#ifdef CUDA_TARGET
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#include <cuda_runtime.h>
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extern void cuda_assert(const char *msg, cudaError_t err);
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#endif
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extern void initDevice(Atom*, Neighbor*);
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extern void *allocateGPU(size_t bytesize);
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extern void *reallocateGPU(void *ptr, size_t new_bytesize);
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extern void memcpyToGPU(void *d_ptr, void *h_ptr, size_t bytesize);
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extern void memcpyFromGPU(void *h_ptr, void *d_ptr, size_t bytesize);
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extern void memsetGPU(void *d_ptr, int value, size_t bytesize);
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#endif
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