MD-Bench/lammps/allocate.c
Rafael Ravedutti 065b596074 Initial refactoring of CUDA code
Signed-off-by: Rafael Ravedutti <rafaelravedutti@gmail.com>
2022-08-12 04:19:38 +02:00

110 lines
3.3 KiB
C

/*
* =======================================================================================
*
* Author: Jan Eitzinger (je), jan.eitzinger@fau.de
* Copyright (c) 2020 RRZE, University Erlangen-Nuremberg
*
* This file is part of MD-Bench.
*
* MD-Bench is free software: you can redistribute it and/or modify it
* under the terms of the GNU Lesser General Public License as published
* by the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* MD-Bench is distributed in the hope that it will be useful, but WITHOUT ANY
* WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A
* PARTICULAR PURPOSE. See the GNU Lesser General Public License for more
* details.
*
* You should have received a copy of the GNU Lesser General Public License along
* with MD-Bench. If not, see <https://www.gnu.org/licenses/>.
* =======================================================================================
*/
#include <stdlib.h>
#include <stdio.h>
#include <string.h>
#include <errno.h>
#include <util.h>
void *allocate(int alignment, size_t bytesize) {
int errorCode;
void* ptr;
errorCode = posix_memalign(&ptr, alignment, bytesize);
if(errorCode == EINVAL) {
fprintf(stderr, "Error: Alignment parameter is not a power of two\n");
exit(EXIT_FAILURE);
}
if(errorCode == ENOMEM) {
fprintf(stderr, "Error: Insufficient memory to fulfill the request\n");
exit(EXIT_FAILURE);
}
if(ptr == NULL) {
fprintf(stderr, "Error: posix_memalign failed!\n");
exit(EXIT_FAILURE);
}
return ptr;
}
void *reallocate(void* ptr, int alignment, size_t new_bytesize, size_t old_bytesize) {
void *newarray = allocate(alignment, new_bytesize);
if(ptr != NULL) {
memcpy(newarray, ptr, old_bytesize);
free(ptr);
}
return newarray;
}
#ifndef CUDA_TARGET
void *allocateGPU(size_t bytesize) { return NULL; }
void *reallocateGPU(void *ptr, size_t new_bytesize) { return NULL; }
void memcpyToGPU(void *d_ptr, void *h_ptr, size_t bytesize) {}
void memcpyFromGPU(void *h_ptr, void *d_ptr, size_t bytesize) {}
void memsetGPU(void *d_ptr, int value, size_t bytesize) {}
#else
#include <cuda_runtime.h>
#include <cuda_atom.h>
void *allocateGPU(size_t bytesize) {
void *ptr;
#ifdef CUDA_HOST_MEMORY
cuda_assert("allocateGPU", cudaMallocHost((void **) &ptr, bytesize));
#else
cuda_assert("allocateGPU", cudaMalloc((void **) &ptr, bytesize));
#endif
return ptr;
}
// Data is not preserved
void *reallocateGPU(void *ptr, size_t new_bytesize) {
if(ptr != NULL) {
#ifdef CUDA_HOST_MEMORY
cudaFreeHost(ptr);
#else
cudaFree(ptr);
#endif
}
return allocateGPU(new_bytesize);
}
void memcpyToGPU(void *d_ptr, void *h_ptr, size_t bytesize) {
#ifndef CUDA_HOST_MEMORY
cuda_assert("memcpyToGPU", cudaMemcpy(d_ptr, h_ptr, bytesize, cudaMemcpyHostToDevice));
#endif
}
void memcpyFromGPU(void *h_ptr, void *d_ptr, size_t bytesize) {
#ifndef CUDA_HOST_MEMORY
cuda_assert("memcpyFromGPU", cudaMemcpy(h_ptr, d_ptr, bytesize, cudaMemcpyDeviceToHost));
#endif
}
void memsetGPU(void *d_ptr, int value, size_t bytesize) {
cuda_assert("memsetGPU", cudaMemset(d_ptr, value, bytesize));
}
#endif