#include #include #ifdef USE_CUDA #ifndef __CUDACC__ #include "cuda_runtime.h" #endif #endif #include "include/memory_management.h" #include "include/colors.h" #include "include/utils.h" #define BLOCKSIZE_x 16 #define BLOCKSIZE_y 8 #define BLOCKSIZE_z 8 int i_div_up(int a, int b) { // Partie entière supérieure de a/b return ((a % b) != 0) ? (a / b + 1) : (a / b); } #ifdef __CUDACC__ extern "C" #endif bool check_cuda_compatibility() { #ifdef __CUDACC__ int nDevices; cudaDeviceProp prop; cudaGetDeviceCount(&nDevices); if (nDevices == 0) { printf("Pas d'utilisation du GPU\n\n"); return false; } printf("GPUs disponibles:\n"); for (int i=0; i < nDevices; i++) { cudaGetDeviceProperties(&prop, i); printf(" - %s\n\t - Compute Capability: %d.%d\n\t - Memory available: ", prop.name, prop.major, prop.minor); printf_memory(prop.totalGlobalMem); printf("\n\t - Shared Memory per block: "); printf_memory(prop.sharedMemPerBlock); printf("\n\n"); } cudaGetDeviceProperties(&prop, 0); printf("Utilisation du GPU: " BLUE "%s" RESET "\n\n", prop.name); if (prop.sharedMemPerBlock != MEMORY_BLOCK) { printf_warning((char*)"La taille des blocs mémoire du GPU et celle utilisée dans le code diffèrent.\n"); printf("\tCela peut mener à une utilisation supplémentaire de VRAM.\n"); printf("\tChanger MEMORY_BLOCK à %ld dans src/include/memory_management.h\n", prop.sharedMemPerBlock); } return true; #else printf("Pas d'utilisation du GPU\n\n"); return false; #endif } #ifdef __CUDACC__ __global__ void copy_3d_array_kernel(float*** source, float*** dest, int dimension1, int dimension2, int dimension3) { int idx = threadIdx.x + blockDim.x*blockIdx.x; // < dimension1 int idy = threadIdx.y + blockDim.y*blockIdx.y; // < dimension2 int idz = threadIdx.z + blockDim.z*blockIdx.z; // < dimension3 if (idx >= dimension1 || idy >= dimension2 || idz >= dimension3) { return; } dest[idx][idy][idz] = source[idx][idy][idz]; } void copy_3d_array(float*** source, float*** dest, int dimension1, int dimension2, int dimension3) { dim3 gridSize(i_div_up(dimension1, BLOCKSIZE_x), i_div_up(dimension2, BLOCKSIZE_y), i_div_up(dimension3, BLOCKSIZE_z)); dim3 blockSize(BLOCKSIZE_x, BLOCKSIZE_y, BLOCKSIZE_z); copy_3d_array_kernel<<>>(source, dest, dimension1, dimension2, dimension3); gpuErrchk( cudaPeekAtLastError() ); gpuErrchk( cudaDeviceSynchronize() ); } #else void copy_3d_array(float*** source, float*** dest, int dimension1, int dimension2, int dimension3) { for (int i=0; i < dimension1; i++) { for (int j=0; j < dimension2; j++) { for (int k=0; k < dimension3; k++) { dest[i][j][k] = source[i][j][k]; } } } } #endif #ifdef __CUDACC__ __global__ void reset_3d_array_kernel(float*** dest, int dimension1, int dimension2, int dimension3) { int idx = threadIdx.x + blockDim.x*blockIdx.x; // < dimension1 int idy = threadIdx.y + blockDim.y*blockIdx.y; // < dimension2 int idz = threadIdx.z + blockDim.z*blockIdx.z; // < dimension3 if (idx >= dimension1 || idy >= dimension2 || idz >= dimension3) { return; } dest[idx][idy][idz] = 0.; } extern "C" void reset_3d_array(float*** dest, int dimension1, int dimension2, int dimension3) { dim3 gridSize(i_div_up(dimension1, BLOCKSIZE_x), i_div_up(dimension2, BLOCKSIZE_y), i_div_up(dimension3, BLOCKSIZE_z)); dim3 blockSize(BLOCKSIZE_x, BLOCKSIZE_y, BLOCKSIZE_z); reset_3d_array_kernel<<>>(dest, dimension1, dimension2, dimension3); gpuErrchk( cudaPeekAtLastError() ); gpuErrchk( cudaDeviceSynchronize() ); } #else void reset_3d_array(float*** dest, int dimension1, int dimension2, int dimension3) { for (int i=0; i < dimension1; i++) { for (int j=0; j < dimension2; j++) { for (int k=0; k < dimension3; k++) { dest[i][j][k] = 0.; } } } } #endif