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- /*
- * StarPU
- * Copyright (C) Université Bordeaux 1, CNRS 2008-2010 (see AUTHORS file)
- *
- * This program 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.
- *
- * This program 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 "dw_cholesky.h"
- #include "dw_cholesky_models.h"
- /*
- * Create the codelets
- */
- static starpu_codelet cl11 =
- {
- .where = STARPU_CPU|STARPU_CUDA,
- .cpu_func = chol_cpu_codelet_update_u11,
- #ifdef STARPU_USE_CUDA
- .cuda_func = chol_cublas_codelet_update_u11,
- #endif
- .nbuffers = 1,
- .model = &chol_model_11
- };
- static starpu_codelet cl21 =
- {
- .where = STARPU_CPU|STARPU_CUDA,
- .cpu_func = chol_cpu_codelet_update_u21,
- #ifdef STARPU_USE_CUDA
- .cuda_func = chol_cublas_codelet_update_u21,
- #endif
- .nbuffers = 2,
- .model = &chol_model_21
- };
- static starpu_codelet cl22 =
- {
- .where = STARPU_CPU|STARPU_CUDA,
- .cpu_func = chol_cpu_codelet_update_u22,
- #ifdef STARPU_USE_CUDA
- .cuda_func = chol_cublas_codelet_update_u22,
- #endif
- .nbuffers = 3,
- .model = &chol_model_22
- };
- /*
- * code to bootstrap the factorization
- * and construct the DAG
- */
- static void _dw_cholesky(starpu_data_handle dataA, unsigned nblocks)
- {
- struct timeval start;
- struct timeval end;
- /* create all the DAG nodes */
- unsigned i,j,k;
- gettimeofday(&start, NULL);
- for (k = 0; k < nblocks; k++)
- {
- starpu_data_handle subdata = starpu_data_get_sub_data(dataA, 2, k, k);
- int prio = STARPU_DEFAULT_PRIO;
- if (!noprio) prio = STARPU_MAX_PRIO;
- starpu_insert_task(&cl11,
- STARPU_PRIORITY, prio,
- STARPU_RW, subdata,
- 0);
- for (j = k+1; j<nblocks; j++)
- {
- starpu_data_handle sdatakk = starpu_data_get_sub_data(dataA, 2, k, k);
- starpu_data_handle sdatakj = starpu_data_get_sub_data(dataA, 2, k, j);
- prio = STARPU_DEFAULT_PRIO;
- if (!noprio&& (j == k+1)) prio = STARPU_MAX_PRIO;
- starpu_insert_task(&cl21,
- STARPU_PRIORITY, prio,
- STARPU_R, sdatakk,
- STARPU_RW, sdatakj,
- 0);
- for (i = k+1; i<nblocks; i++)
- {
- if (i <= j)
- {
- starpu_data_handle sdataki = starpu_data_get_sub_data(dataA, 2, k, i);
- starpu_data_handle sdatakj = starpu_data_get_sub_data(dataA, 2, k, j);
- starpu_data_handle sdataij = starpu_data_get_sub_data(dataA, 2, i, j);
- prio = STARPU_DEFAULT_PRIO;
- if (!noprio && (i == k + 1) && (j == k +1) ) prio = STARPU_MAX_PRIO;
- starpu_insert_task(&cl22,
- STARPU_PRIORITY, prio,
- STARPU_R, sdataki,
- STARPU_R, sdatakj,
- STARPU_RW, sdataij,
- 0);
- }
- }
- }
- }
- //starpu_task_wait_for_all();
- starpu_data_unpartition(dataA, 0);
- gettimeofday(&end, NULL);
- double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
- fprintf(stderr, "Computation took (in ms)\n");
- printf("%2.2f\n", timing/1000);
- unsigned n = starpu_matrix_get_nx(dataA);
- double flop = (1.0f*n*n*n)/3.0f;
- fprintf(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));
- }
- void initialize_system(float **A, unsigned dim, unsigned pinned)
- {
- starpu_init(NULL);
- starpu_helper_cublas_init();
- if (pinned)
- {
- starpu_data_malloc_pinned_if_possible((void **)A, (size_t)dim*dim*sizeof(float));
- }
- else {
- *A = malloc(dim*dim*sizeof(float));
- }
- }
- void dw_cholesky(float *matA, unsigned size, unsigned ld, unsigned nblocks)
- {
- starpu_data_handle dataA;
- /* monitor and partition the A matrix into blocks :
- * one block is now determined by 2 unsigned (i,j) */
- starpu_matrix_data_register(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(float));
- struct starpu_data_filter f;
- f.filter_func = starpu_vertical_block_filter_func;
- f.nchildren = nblocks;
- f.get_nchildren = NULL;
- f.get_child_ops = NULL;
- struct starpu_data_filter f2;
- f2.filter_func = starpu_block_filter_func;
- f2.nchildren = nblocks;
- f2.get_nchildren = NULL;
- f2.get_child_ops = NULL;
- starpu_data_map_filters(dataA, 2, &f, &f2);
- _dw_cholesky(dataA, nblocks);
- starpu_helper_cublas_shutdown();
- starpu_shutdown();
- }
- int main(int argc, char **argv)
- {
- /* create a simple definite positive symetric matrix example
- *
- * Hilbert matrix : h(i,j) = 1/(i+j+1)
- * */
- parse_args(argc, argv);
- float *mat;
- mat = malloc(size*size*sizeof(float));
- initialize_system(&mat, size, pinned);
- unsigned i,j;
- for (i = 0; i < size; i++)
- {
- for (j = 0; j < size; j++)
- {
- mat[j +i*size] = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
- //mat[j +i*size] = ((i == j)?1.0f*size:0.0f);
- }
- }
- #ifdef CHECK_OUTPUT
- printf("Input :\n");
- for (j = 0; j < size; j++)
- {
- for (i = 0; i < size; i++)
- {
- if (i <= j) {
- printf("%2.2f\t", mat[j +i*size]);
- }
- else {
- printf(".\t");
- }
- }
- printf("\n");
- }
- #endif
- dw_cholesky(mat, size, size, nblocks);
- #ifdef CHECK_OUTPUT
- printf("Results :\n");
- for (j = 0; j < size; j++)
- {
- for (i = 0; i < size; i++)
- {
- if (i <= j) {
- printf("%2.2f\t", mat[j +i*size]);
- }
- else {
- printf(".\t");
- mat[j+i*size] = 0.0f; // debug
- }
- }
- printf("\n");
- }
- fprintf(stderr, "compute explicit LLt ...\n");
- float *test_mat = malloc(size*size*sizeof(float));
- STARPU_ASSERT(test_mat);
- SSYRK("L", "N", size, size, 1.0f,
- mat, size, 0.0f, test_mat, size);
- fprintf(stderr, "comparing results ...\n");
- for (j = 0; j < size; j++)
- {
- for (i = 0; i < size; i++)
- {
- if (i <= j) {
- printf("%2.2f\t", test_mat[j +i*size]);
- }
- else {
- printf(".\t");
- }
- }
- printf("\n");
- }
- #endif
- return 0;
- }
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