/* StarPU --- Runtime system for heterogeneous multicore architectures. * * Copyright (C) 2011 Centre National de la Recherche Scientifique * * StarPU 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 2.1 of the License, or (at * your option) any later version. * * StarPU 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 in COPYING.LGPL for more details. */ #include #include void func_cpu(void *descr[], __attribute__ ((unused)) void *_args) { unsigned *matrix = (unsigned *)STARPU_MATRIX_GET_PTR(descr[0]); int nx = (int)STARPU_MATRIX_GET_NX(descr[0]); int ny = (int)STARPU_MATRIX_GET_NY(descr[0]); int ld = (int)STARPU_MATRIX_GET_LD(descr[0]); int i, j; unsigned sum=0; for (i = 0; i < nx; i++) { for (j = 0; j < ny; j++) { sum += matrix[i+j*ld]; } } for (i = 0; i < nx; i++) { for (j = 0; j < ny; j++) { matrix[i+j*ld] = sum;///(nx*ny); } } } starpu_codelet mycodelet = { .where = STARPU_CPU, .cpu_func = func_cpu, .nbuffers = 1 }; #define SIZE 6 #define BLOCKS 3 /* Returns the MPI node number where data indexes index is */ int my_distrib(int x, int y, int nb_nodes) { return x % nb_nodes; } int main(int argc, char **argv) { int rank, size, x, y, loop; int value=0; unsigned matrix[SIZE*SIZE]; starpu_data_handle data_handles[SIZE][SIZE]; starpu_init(NULL); starpu_mpi_initialize_extended(1, &rank, &size); for(x = 0; x < SIZE; x++) { for (y = 0; y < SIZE; y++) { matrix[x+y*SIZE] = rank*100 + value; value++; } } #if 1 for(x = 0; x < SIZE; x++) { fprintf(stdout, "[%d] ", rank); for (y = 0; y < SIZE; y++) { fprintf(stdout, "%3d ", matrix[x+y*SIZE]); } fprintf(stdout, "\n"); } #endif for(x = 0; x < BLOCKS ; x++) { for (y = 0; y < BLOCKS; y++) { int mpi_rank = my_distrib(x, y, size); if (mpi_rank == rank) { //fprintf(stderr, "[%d] Owning data[%d][%d]\n", rank, x, y); starpu_matrix_data_register(&data_handles[x][y], 0, (uintptr_t)&(matrix[((SIZE/BLOCKS)*x) + ((SIZE/BLOCKS)*y) * SIZE]), SIZE, SIZE/BLOCKS, SIZE/BLOCKS, sizeof(unsigned)); } else if (rank == mpi_rank+1 || rank == mpi_rank-1) { /* I don't own that index, but will need it for my computations */ //fprintf(stderr, "[%d] Neighbour of data[%d][%d]\n", rank, x, y); starpu_matrix_data_register(&data_handles[x][y], -1, (uintptr_t)&(matrix[((SIZE/BLOCKS)*x) + ((SIZE/BLOCKS)*y) * SIZE]), SIZE, SIZE/BLOCKS, SIZE/BLOCKS, sizeof(unsigned)); } else { /* I know it's useless to allocate anything for this */ data_handles[x][y] = NULL; } if (data_handles[x][y]) starpu_data_set_rank(data_handles[x][y], mpi_rank); } } for(x = 0; x < BLOCKS; x++) { for (y = 0; y < BLOCKS; y++) { starpu_mpi_insert_task(MPI_COMM_WORLD, &mycodelet, STARPU_RW, data_handles[x][y], 0); } } fprintf(stderr, "Waiting ...\n"); starpu_task_wait_for_all(); for(x = 0; x < BLOCKS; x++) { for (y = 0; y < BLOCKS; y++) { if (!data_handles[x][y]) starpu_data_release(data_handles[x][y]); } } starpu_mpi_shutdown(); starpu_shutdown(); #if 1 for(x = 0; x < SIZE; x++) { fprintf(stdout, "[%d] ", rank); for (y = 0; y < SIZE; y++) { fprintf(stdout, "%3d ", matrix[x+y*SIZE]); } fprintf(stdout, "\n"); } #endif return 0; }