cholesky_tag.c 8.6 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2014 Université de Bordeaux 1
  4. * Copyright (C) 2010 Mehdi Juhoor <mjuhoor@gmail.com>
  5. * Copyright (C) 2010, 2011, 2012, 2013 Centre National de la Recherche Scientifique
  6. *
  7. * StarPU is free software; you can redistribute it and/or modify
  8. * it under the terms of the GNU Lesser General Public License as published by
  9. * the Free Software Foundation; either version 2.1 of the License, or (at
  10. * your option) any later version.
  11. *
  12. * StarPU is distributed in the hope that it will be useful, but
  13. * WITHOUT ANY WARRANTY; without even the implied warranty of
  14. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  15. *
  16. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  17. */
  18. #include "cholesky.h"
  19. #include <starpu_perfmodel.h>
  20. /*
  21. * Some useful functions
  22. */
  23. static struct starpu_task *create_task(starpu_tag_t id)
  24. {
  25. struct starpu_task *task = starpu_task_create();
  26. task->cl_arg = NULL;
  27. task->use_tag = 1;
  28. task->tag_id = id;
  29. return task;
  30. }
  31. /*
  32. * Create the codelets
  33. */
  34. static struct starpu_task * create_task_11(starpu_data_handle_t dataA, unsigned k)
  35. {
  36. /* FPRINTF(stdout, "task 11 k = %d TAG = %llx\n", k, (TAG11(k))); */
  37. struct starpu_task *task = create_task(TAG11(k));
  38. task->cl = &cl11;
  39. /* which sub-data is manipulated ? */
  40. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, k);
  41. /* this is an important task */
  42. if (!noprio)
  43. task->priority = STARPU_MAX_PRIO;
  44. /* enforce dependencies ... */
  45. if (k > 0)
  46. {
  47. starpu_tag_declare_deps(TAG11(k), 1, TAG22(k-1, k, k));
  48. }
  49. int n = starpu_matrix_get_nx(task->handles[0]);
  50. task->flops = FLOPS_SPOTRF(n);
  51. return task;
  52. }
  53. static void create_task_21(starpu_data_handle_t dataA, unsigned k, unsigned j)
  54. {
  55. struct starpu_task *task = create_task(TAG21(k, j));
  56. task->cl = &cl21;
  57. /* which sub-data is manipulated ? */
  58. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, k);
  59. task->handles[1] = starpu_data_get_sub_data(dataA, 2, k, j);
  60. if (!noprio && (j == k+1))
  61. {
  62. task->priority = STARPU_MAX_PRIO;
  63. }
  64. /* enforce dependencies ... */
  65. if (k > 0)
  66. {
  67. starpu_tag_declare_deps(TAG21(k, j), 2, TAG11(k), TAG22(k-1, k, j));
  68. }
  69. else
  70. {
  71. starpu_tag_declare_deps(TAG21(k, j), 1, TAG11(k));
  72. }
  73. int n = starpu_matrix_get_nx(task->handles[0]);
  74. task->flops = FLOPS_STRSM(n, n);
  75. int ret = starpu_task_submit(task);
  76. if (STARPU_UNLIKELY(ret == -ENODEV))
  77. {
  78. FPRINTF(stderr, "No worker may execute this task\n");
  79. exit(0);
  80. }
  81. }
  82. static void create_task_22(starpu_data_handle_t dataA, unsigned k, unsigned i, unsigned j)
  83. {
  84. /* FPRINTF(stdout, "task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j)); */
  85. struct starpu_task *task = create_task(TAG22(k, i, j));
  86. task->cl = &cl22;
  87. /* which sub-data is manipulated ? */
  88. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, i);
  89. task->handles[1] = starpu_data_get_sub_data(dataA, 2, k, j);
  90. task->handles[2] = starpu_data_get_sub_data(dataA, 2, i, j);
  91. if (!noprio && (i == k + 1) && (j == k +1) )
  92. {
  93. task->priority = STARPU_MAX_PRIO;
  94. }
  95. /* enforce dependencies ... */
  96. if (k > 0)
  97. {
  98. starpu_tag_declare_deps(TAG22(k, i, j), 3, TAG22(k-1, i, j), TAG21(k, i), TAG21(k, j));
  99. }
  100. else
  101. {
  102. starpu_tag_declare_deps(TAG22(k, i, j), 2, TAG21(k, i), TAG21(k, j));
  103. }
  104. int n = starpu_matrix_get_nx(task->handles[0]);
  105. task->flops = FLOPS_SGEMM(n, n, n);
  106. int ret = starpu_task_submit(task);
  107. if (STARPU_UNLIKELY(ret == -ENODEV))
  108. {
  109. FPRINTF(stderr, "No worker may execute this task\n");
  110. exit(0);
  111. }
  112. }
  113. /*
  114. * code to bootstrap the factorization
  115. * and construct the DAG
  116. */
  117. static void _cholesky(starpu_data_handle_t dataA, unsigned nblocks)
  118. {
  119. double start;
  120. double end;
  121. struct starpu_task *entry_task = NULL;
  122. /* create all the DAG nodes */
  123. unsigned i,j,k;
  124. start = starpu_timing_now();
  125. for (k = 0; k < nblocks; k++)
  126. {
  127. struct starpu_task *task = create_task_11(dataA, k);
  128. /* we defer the launch of the first task */
  129. if (k == 0)
  130. {
  131. entry_task = task;
  132. }
  133. else
  134. {
  135. int ret = starpu_task_submit(task);
  136. if (STARPU_UNLIKELY(ret == -ENODEV))
  137. {
  138. FPRINTF(stderr, "No worker may execute this task\n");
  139. exit(0);
  140. }
  141. }
  142. for (j = k+1; j<nblocks; j++)
  143. {
  144. create_task_21(dataA, k, j);
  145. for (i = k+1; i<nblocks; i++)
  146. {
  147. if (i <= j)
  148. create_task_22(dataA, k, i, j);
  149. }
  150. }
  151. }
  152. /* schedule the codelet */
  153. int ret = starpu_task_submit(entry_task);
  154. if (STARPU_UNLIKELY(ret == -ENODEV))
  155. {
  156. FPRINTF(stderr, "No worker may execute this task\n");
  157. exit(0);
  158. }
  159. /* stall the application until the end of computations */
  160. starpu_tag_wait(TAG11(nblocks-1));
  161. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  162. end = starpu_timing_now();
  163. double timing = end - start;
  164. FPRINTF(stderr, "Computation took (in ms)\n");
  165. FPRINTF(stdout, "%2.2f\n", timing/1000);
  166. unsigned n = starpu_matrix_get_nx(dataA);
  167. double flop = (1.0f*n*n*n)/3.0f;
  168. FPRINTF(stderr, "Synthetic GFlops : %2.2f\n", (flop/timing/1000.0f));
  169. }
  170. static int initialize_system(float **A, unsigned dim, unsigned pinned)
  171. {
  172. int ret;
  173. ret = starpu_init(NULL);
  174. if (ret == -ENODEV)
  175. return 77;
  176. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  177. #ifdef STARPU_USE_CUDA
  178. initialize_chol_model(&chol_model_11,"chol_model_11",cpu_chol_task_11_cost,cuda_chol_task_11_cost);
  179. initialize_chol_model(&chol_model_21,"chol_model_21",cpu_chol_task_21_cost,cuda_chol_task_21_cost);
  180. initialize_chol_model(&chol_model_22,"chol_model_22",cpu_chol_task_22_cost,cuda_chol_task_22_cost);
  181. #else
  182. initialize_chol_model(&chol_model_11,"chol_model_11",cpu_chol_task_11_cost,NULL);
  183. initialize_chol_model(&chol_model_21,"chol_model_21",cpu_chol_task_21_cost,NULL);
  184. initialize_chol_model(&chol_model_22,"chol_model_22",cpu_chol_task_22_cost,NULL);
  185. #endif
  186. starpu_cublas_init();
  187. #ifndef STARPU_SIMGRID
  188. if (pinned)
  189. {
  190. starpu_malloc((void **)A, (size_t)dim*dim*sizeof(float));
  191. }
  192. else
  193. {
  194. *A = malloc(dim*dim*sizeof(float));
  195. }
  196. #endif
  197. return 0;
  198. }
  199. static void cholesky(float *matA, unsigned size, unsigned ld, unsigned nblocks)
  200. {
  201. starpu_data_handle_t dataA;
  202. /* monitor and partition the A matrix into blocks :
  203. * one block is now determined by 2 unsigned (i,j) */
  204. starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(float));
  205. starpu_data_set_sequential_consistency_flag(dataA, 0);
  206. struct starpu_data_filter f =
  207. {
  208. .filter_func = starpu_matrix_filter_vertical_block,
  209. .nchildren = nblocks
  210. };
  211. struct starpu_data_filter f2 =
  212. {
  213. .filter_func = starpu_matrix_filter_block,
  214. .nchildren = nblocks
  215. };
  216. starpu_data_map_filters(dataA, 2, &f, &f2);
  217. _cholesky(dataA, nblocks);
  218. starpu_data_unregister(dataA);
  219. }
  220. static void shutdown_system(float **matA, unsigned pinned)
  221. {
  222. if (pinned)
  223. {
  224. starpu_free(*matA);
  225. }
  226. else
  227. {
  228. free(*matA);
  229. }
  230. starpu_cublas_shutdown();
  231. starpu_shutdown();
  232. }
  233. int main(int argc, char **argv)
  234. {
  235. /* create a simple definite positive symetric matrix example
  236. *
  237. * Hilbert matrix : h(i,j) = 1/(i+j+1)
  238. * */
  239. parse_args(argc, argv);
  240. float *mat = NULL;
  241. int ret = initialize_system(&mat, size, pinned);
  242. if (ret) return ret;
  243. #ifndef STARPU_SIMGRID
  244. unsigned i,j;
  245. for (i = 0; i < size; i++)
  246. {
  247. for (j = 0; j < size; j++)
  248. {
  249. mat[j +i*size] = (1.0f/(1.0f+i+j)) + ((i == j)?1.0f*size:0.0f);
  250. /* mat[j +i*size] = ((i == j)?1.0f*size:0.0f); */
  251. }
  252. }
  253. #endif
  254. #ifdef CHECK_OUTPUT
  255. FPRINTF(stdout, "Input :\n");
  256. for (j = 0; j < size; j++)
  257. {
  258. for (i = 0; i < size; i++)
  259. {
  260. if (i <= j)
  261. {
  262. FPRINTF(stdout, "%2.2f\t", mat[j +i*size]);
  263. }
  264. else
  265. {
  266. FPRINTF(stdout, ".\t");
  267. }
  268. }
  269. FPRINTF(stdout, "\n");
  270. }
  271. #endif
  272. cholesky(mat, size, size, nblocks);
  273. #ifdef CHECK_OUTPUT
  274. FPRINTF(stdout, "Results :\n");
  275. for (j = 0; j < size; j++)
  276. {
  277. for (i = 0; i < size; i++)
  278. {
  279. if (i <= j)
  280. {
  281. FPRINTF(stdout, "%2.2f\t", mat[j +i*size]);
  282. }
  283. else
  284. {
  285. FPRINTF(stdout, ".\t");
  286. mat[j+i*size] = 0.0f; /* debug */
  287. }
  288. }
  289. FPRINTF(stdout, "\n");
  290. }
  291. FPRINTF(stderr, "compute explicit LLt ...\n");
  292. float *test_mat = malloc(size*size*sizeof(float));
  293. STARPU_ASSERT(test_mat);
  294. STARPU_SSYRK("L", "N", size, size, 1.0f,
  295. mat, size, 0.0f, test_mat, size);
  296. FPRINTF(stderr, "comparing results ...\n");
  297. for (j = 0; j < size; j++)
  298. {
  299. for (i = 0; i < size; i++)
  300. {
  301. if (i <= j)
  302. {
  303. FPRINTF(stdout, "%2.2f\t", test_mat[j +i*size]);
  304. }
  305. else
  306. {
  307. FPRINTF(stdout, ".\t");
  308. }
  309. }
  310. FPRINTF(stdout, "\n");
  311. }
  312. free(test_mat);
  313. #endif
  314. shutdown_system(&mat, pinned);
  315. return 0;
  316. }