MD-Bench/lammps/allocate.c

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/*
* =======================================================================================
*
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* Author: Jan Eitzinger (je), jan.eitzinger@fau.de
* Copyright (c) 2020 RRZE, University Erlangen-Nuremberg
*
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* This file is part of MD-Bench.
*
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* 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.
*
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* 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.
*
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* 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>
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#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;
}
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void *reallocate(void* ptr, int alignment, size_t newBytesize, size_t oldBytesize) {
void *newarray = allocate(alignment, newBytesize);
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if(ptr != NULL) {
memcpy(newarray, ptr, oldBytesize);
free(ptr);
}
return newarray;
}
#ifndef CUDA_TARGET
void *allocate_gpu(int alignment, size_t bytesize) { return NULL; }
void *reallocate_gpu(void *ptr, int alignment, size_t newBytesize, size_t oldBytesize) { return NULL; }
#else
void *allocate_gpu(int alignment, size_t bytesize) {
void *ptr;
checkCUDAError("allocate_gpu", cudaMallocHost((void **) &ptr, bytesize));
return ptr;
}
// Data is not preserved
void *reallocate_gpu(void *ptr, int alignment, size_t newBytesize, size_t oldBytesize) {
void *newarray = allocate_gpu(alignment, newBytesize);
if(ptr != NULL) {
cudaFreeHost(ptr);
}
return newarray;
}
#endif