dw_cholesky_grain.c 8.5 KB

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  1. /*
  2. * StarPU
  3. * Copyright (C) INRIA 2008-2009 (see AUTHORS file)
  4. *
  5. * This program is free software; you can redistribute it and/or modify
  6. * it under the terms of the GNU Lesser General Public License as published by
  7. * the Free Software Foundation; either version 2.1 of the License, or (at
  8. * your option) any later version.
  9. *
  10. * This program is distributed in the hope that it will be useful, but
  11. * WITHOUT ANY WARRANTY; without even the implied warranty of
  12. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  13. *
  14. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  15. */
  16. #include "dw_cholesky.h"
  17. #include "dw_cholesky_models.h"
  18. /*
  19. * Some useful functions
  20. */
  21. static struct starpu_task *create_task(starpu_tag_t id)
  22. {
  23. struct starpu_task *task = starpu_task_create();
  24. task->cl_arg = NULL;
  25. task->use_tag = 1;
  26. task->tag_id = id;
  27. return task;
  28. }
  29. /*
  30. * Create the codelets
  31. */
  32. static starpu_codelet cl11 =
  33. {
  34. .where = STARPU_CPU|STARPU_CUDA,
  35. .cpu_func = chol_cpu_codelet_update_u11,
  36. #ifdef STARPU_USE_CUDA
  37. .cuda_func = chol_cublas_codelet_update_u11,
  38. #endif
  39. .nbuffers = 1,
  40. .model = &chol_model_11
  41. };
  42. static struct starpu_task * create_task_11(starpu_data_handle dataA, unsigned k, unsigned reclevel)
  43. {
  44. // printf("task 11 k = %d TAG = %llx\n", k, (TAG11(k)));
  45. struct starpu_task *task = create_task(TAG11_AUX(k, reclevel));
  46. task->cl = &cl11;
  47. /* which sub-data is manipulated ? */
  48. task->buffers[0].handle = starpu_get_sub_data(dataA, 2, k, k);
  49. task->buffers[0].mode = STARPU_RW;
  50. /* this is an important task */
  51. task->priority = STARPU_MAX_PRIO;
  52. /* enforce dependencies ... */
  53. if (k > 0) {
  54. starpu_tag_declare_deps(TAG11_AUX(k, reclevel), 1, TAG22_AUX(k-1, k, k, reclevel));
  55. }
  56. return task;
  57. }
  58. static starpu_codelet cl21 =
  59. {
  60. .where = STARPU_CPU|STARPU_CUDA,
  61. .cpu_func = chol_cpu_codelet_update_u21,
  62. #ifdef STARPU_USE_CUDA
  63. .cuda_func = chol_cublas_codelet_update_u21,
  64. #endif
  65. .nbuffers = 2,
  66. .model = &chol_model_21
  67. };
  68. static void create_task_21(starpu_data_handle dataA, unsigned k, unsigned j, unsigned reclevel)
  69. {
  70. struct starpu_task *task = create_task(TAG21_AUX(k, j, reclevel));
  71. task->cl = &cl21;
  72. /* which sub-data is manipulated ? */
  73. task->buffers[0].handle = starpu_get_sub_data(dataA, 2, k, k);
  74. task->buffers[0].mode = STARPU_R;
  75. task->buffers[1].handle = starpu_get_sub_data(dataA, 2, k, j);
  76. task->buffers[1].mode = STARPU_RW;
  77. if (j == k+1) {
  78. task->priority = STARPU_MAX_PRIO;
  79. }
  80. /* enforce dependencies ... */
  81. if (k > 0) {
  82. starpu_tag_declare_deps(TAG21_AUX(k, j, reclevel), 2, TAG11_AUX(k, reclevel), TAG22_AUX(k-1, k, j, reclevel));
  83. }
  84. else {
  85. starpu_tag_declare_deps(TAG21_AUX(k, j, reclevel), 1, TAG11_AUX(k, reclevel));
  86. }
  87. starpu_submit_task(task);
  88. }
  89. static starpu_codelet cl22 =
  90. {
  91. .where = STARPU_CPU|STARPU_CUDA,
  92. .cpu_func = chol_cpu_codelet_update_u22,
  93. #ifdef STARPU_USE_CUDA
  94. .cuda_func = chol_cublas_codelet_update_u22,
  95. #endif
  96. .nbuffers = 3,
  97. .model = &chol_model_22
  98. };
  99. static void create_task_22(starpu_data_handle dataA, unsigned k, unsigned i, unsigned j, unsigned reclevel)
  100. {
  101. // printf("task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22_AUX(k,i,j));
  102. struct starpu_task *task = create_task(TAG22_AUX(k, i, j, reclevel));
  103. task->cl = &cl22;
  104. /* which sub-data is manipulated ? */
  105. task->buffers[0].handle = starpu_get_sub_data(dataA, 2, k, i);
  106. task->buffers[0].mode = STARPU_R;
  107. task->buffers[1].handle = starpu_get_sub_data(dataA, 2, k, j);
  108. task->buffers[1].mode = STARPU_R;
  109. task->buffers[2].handle = starpu_get_sub_data(dataA, 2, i, j);
  110. task->buffers[2].mode = STARPU_RW;
  111. if ( (i == k + 1) && (j == k +1) ) {
  112. task->priority = STARPU_MAX_PRIO;
  113. }
  114. /* enforce dependencies ... */
  115. if (k > 0) {
  116. starpu_tag_declare_deps(TAG22_AUX(k, i, j, reclevel), 3, TAG22_AUX(k-1, i, j, reclevel), TAG21_AUX(k, i, reclevel), TAG21_AUX(k, j, reclevel));
  117. }
  118. else {
  119. starpu_tag_declare_deps(TAG22_AUX(k, i, j, reclevel), 2, TAG21_AUX(k, i, reclevel), TAG21_AUX(k, j, reclevel));
  120. }
  121. starpu_submit_task(task);
  122. }
  123. /*
  124. * code to bootstrap the factorization
  125. * and construct the DAG
  126. */
  127. static void _dw_cholesky_grain(float *matA, unsigned size, unsigned ld, unsigned nblocks, unsigned nbigblocks, unsigned reclevel)
  128. {
  129. /* create a new codelet */
  130. struct starpu_task *entry_task = NULL;
  131. /* create all the DAG nodes */
  132. unsigned i,j,k;
  133. starpu_data_handle dataA;
  134. /* monitor and partition the A matrix into blocks :
  135. * one block is now determined by 2 unsigned (i,j) */
  136. starpu_register_matrix_data(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(float));
  137. starpu_filter f;
  138. f.filter_func = starpu_vertical_block_filter_func;
  139. f.filter_arg = nblocks;
  140. starpu_filter f2;
  141. f2.filter_func = starpu_block_filter_func;
  142. f2.filter_arg = nblocks;
  143. starpu_map_filters(dataA, 2, &f, &f2);
  144. for (k = 0; k < nbigblocks; k++)
  145. {
  146. struct starpu_task *task = create_task_11(dataA, k, reclevel);
  147. /* we defer the launch of the first task */
  148. if (k == 0) {
  149. entry_task = task;
  150. }
  151. else {
  152. starpu_submit_task(task);
  153. }
  154. for (j = k+1; j<nblocks; j++)
  155. {
  156. create_task_21(dataA, k, j, reclevel);
  157. for (i = k+1; i<nblocks; i++)
  158. {
  159. if (i <= j)
  160. create_task_22(dataA, k, i, j, reclevel);
  161. }
  162. }
  163. }
  164. /* schedule the codelet */
  165. int ret = starpu_submit_task(entry_task);
  166. if (STARPU_UNLIKELY(ret == -ENODEV))
  167. {
  168. fprintf(stderr, "No worker may execute this task\n");
  169. exit(-1);
  170. }
  171. if (nblocks == nbigblocks)
  172. {
  173. /* stall the application until the end of computations */
  174. starpu_tag_wait(TAG11_AUX(nblocks-1, reclevel));
  175. starpu_unpartition_data(dataA, 0);
  176. return;
  177. }
  178. else {
  179. STARPU_ASSERT(reclevel == 0);
  180. unsigned ndeps_tags = (nblocks - nbigblocks)*(nblocks - nbigblocks);
  181. starpu_tag_t *tag_array = malloc(ndeps_tags*sizeof(starpu_tag_t));
  182. STARPU_ASSERT(tag_array);
  183. unsigned ind = 0;
  184. for (i = nbigblocks; i < nblocks; i++)
  185. for (j = nbigblocks; j < nblocks; j++)
  186. {
  187. if (i <= j)
  188. tag_array[ind++] = TAG22_AUX(nbigblocks - 1, i, j, reclevel);
  189. }
  190. starpu_tag_wait_array(ind, tag_array);
  191. free(tag_array);
  192. starpu_unpartition_data(dataA, 0);
  193. starpu_delete_data(dataA);
  194. float *newmatA = &matA[nbigblocks*(size/nblocks)*(ld+1)];
  195. _dw_cholesky_grain(newmatA, size/nblocks*(nblocks - nbigblocks), ld, (nblocks - nbigblocks)*2, (nblocks - nbigblocks)*2, reclevel+1);
  196. }
  197. }
  198. void initialize_system(float **A, unsigned dim, unsigned pinned)
  199. {
  200. starpu_init(NULL);
  201. starpu_helper_init_cublas();
  202. _starpu_timing_init();
  203. if (pinned)
  204. {
  205. starpu_malloc_pinned_if_possible((void **)A, dim*dim*sizeof(float));
  206. }
  207. else {
  208. *A = malloc(dim*dim*sizeof(float));
  209. }
  210. }
  211. void dw_cholesky_grain(float *matA, unsigned size, unsigned ld, unsigned nblocks, unsigned nbigblocks)
  212. {
  213. struct timeval start;
  214. struct timeval end;
  215. gettimeofday(&start, NULL);
  216. _dw_cholesky_grain(matA, size, ld, nblocks, nbigblocks, 0);
  217. gettimeofday(&end, NULL);
  218. double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
  219. fprintf(stderr, "Computation took (in ms)\n");
  220. printf("%2.2f\n", timing/1000);
  221. double flop = (1.0f*size*size*size)/3.0f;
  222. fprintf(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));
  223. starpu_helper_shutdown_cublas();
  224. starpu_shutdown();
  225. }
  226. int main(int argc, char **argv)
  227. {
  228. /* create a simple definite positive symetric matrix example
  229. *
  230. * Hilbert matrix : h(i,j) = 1/(i+j+1)
  231. * */
  232. parse_args(argc, argv);
  233. float *mat;
  234. mat = malloc(size*size*sizeof(float));
  235. initialize_system(&mat, size, pinned);
  236. unsigned i,j;
  237. for (i = 0; i < size; i++)
  238. {
  239. for (j = 0; j < size; j++)
  240. {
  241. mat[j +i*size] = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
  242. //mat[j +i*size] = ((i == j)?1.0f*size:0.0f);
  243. }
  244. }
  245. #ifdef CHECK_OUTPUT
  246. printf("Input :\n");
  247. for (j = 0; j < size; j++)
  248. {
  249. for (i = 0; i < size; i++)
  250. {
  251. if (i <= j) {
  252. printf("%2.2f\t", mat[j +i*size]);
  253. }
  254. else {
  255. printf(".\t");
  256. }
  257. }
  258. printf("\n");
  259. }
  260. #endif
  261. dw_cholesky_grain(mat, size, size, nblocks, nbigblocks);
  262. #ifdef CHECK_OUTPUT
  263. printf("Results :\n");
  264. for (j = 0; j < size; j++)
  265. {
  266. for (i = 0; i < size; i++)
  267. {
  268. if (i <= j) {
  269. printf("%2.2f\t", mat[j +i*size]);
  270. }
  271. else {
  272. printf(".\t");
  273. mat[j+i*size] = 0.0f; // debug
  274. }
  275. }
  276. printf("\n");
  277. }
  278. fprintf(stderr, "compute explicit LLt ...\n");
  279. float *test_mat = malloc(size*size*sizeof(float));
  280. STARPU_ASSERT(test_mat);
  281. SSYRK("L", "N", size, size, 1.0f,
  282. mat, size, 0.0f, test_mat, size);
  283. fprintf(stderr, "comparing results ...\n");
  284. for (j = 0; j < size; j++)
  285. {
  286. for (i = 0; i < size; i++)
  287. {
  288. if (i <= j) {
  289. printf("%2.2f\t", test_mat[j +i*size]);
  290. }
  291. else {
  292. printf(".\t");
  293. }
  294. }
  295. printf("\n");
  296. }
  297. #endif
  298. return 0;
  299. }