xlu_pivot.c 12 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2012, 2014-2015 Université de Bordeaux
  4. * Copyright (C) 2010, 2011, 2012 CNRS
  5. *
  6. * StarPU is free software; you can redistribute it and/or modify
  7. * it under the terms of the GNU Lesser General Public License as published by
  8. * the Free Software Foundation; either version 2.1 of the License, or (at
  9. * your option) any later version.
  10. *
  11. * StarPU is distributed in the hope that it will be useful, but
  12. * WITHOUT ANY WARRANTY; without even the implied warranty of
  13. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  14. *
  15. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  16. */
  17. /* LU Kernels with partial pivoting */
  18. #include "xlu.h"
  19. #include "xlu_kernels.h"
  20. static unsigned no_prio = 0;
  21. /*
  22. * Construct the DAG
  23. */
  24. static struct starpu_task *create_task(starpu_tag_t id)
  25. {
  26. struct starpu_task *task = starpu_task_create();
  27. task->cl_arg = NULL;
  28. task->use_tag = 1;
  29. task->tag_id = id;
  30. return task;
  31. }
  32. static int create_task_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,
  33. struct piv_s *piv_description,
  34. unsigned k, unsigned i,
  35. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  36. {
  37. int ret;
  38. struct starpu_task *task = create_task(PIVOT(k, i));
  39. task->cl = &cl_pivot;
  40. /* which sub-data is manipulated ? */
  41. task->handles[0] = get_block(dataAp, nblocks, k, i);
  42. task->cl_arg = &piv_description[k];
  43. /* this is an important task */
  44. if (!no_prio && (i == k+1))
  45. task->priority = STARPU_MAX_PRIO;
  46. /* enforce dependencies ... */
  47. if (k == 0)
  48. {
  49. starpu_tag_declare_deps(PIVOT(k, i), 1, TAG11(k));
  50. }
  51. else
  52. {
  53. if (i > k)
  54. {
  55. starpu_tag_declare_deps(PIVOT(k, i), 2, TAG11(k), TAG22(k-1, i, k));
  56. }
  57. else
  58. {
  59. starpu_tag_t *tags = malloc((nblocks - k)*sizeof(starpu_tag_t));
  60. tags[0] = TAG11(k);
  61. unsigned ind, ind2;
  62. for (ind = k + 1, ind2 = 0; ind < nblocks; ind++, ind2++)
  63. {
  64. tags[1 + ind2] = TAG22(k-1, ind, k);
  65. }
  66. /* perhaps we could do better ... :/ */
  67. starpu_tag_declare_deps_array(PIVOT(k, i), (nblocks-k), tags);
  68. free(tags);
  69. }
  70. }
  71. ret = starpu_task_submit(task);
  72. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  73. return ret;
  74. }
  75. static struct starpu_task *create_task_11_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,
  76. unsigned k, struct piv_s *piv_description,
  77. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  78. {
  79. struct starpu_task *task = create_task(TAG11(k));
  80. task->cl = &cl11_pivot;
  81. task->cl_arg = &piv_description[k];
  82. /* which sub-data is manipulated ? */
  83. task->handles[0] = get_block(dataAp, nblocks, k, k);
  84. /* this is an important task */
  85. if (!no_prio)
  86. task->priority = STARPU_MAX_PRIO;
  87. /* enforce dependencies ... */
  88. if (k > 0)
  89. {
  90. starpu_tag_declare_deps(TAG11(k), 1, TAG22(k-1, k, k));
  91. }
  92. return task;
  93. }
  94. static int create_task_12(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned j,
  95. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  96. {
  97. int ret;
  98. /* printf("task 12 k,i = %d,%d TAG = %llx\n", k,i, TAG12(k,i)); */
  99. struct starpu_task *task = create_task(TAG12(k, j));
  100. task->cl = &cl12;
  101. task->cl_arg = (void *)(task->tag_id);
  102. /* which sub-data is manipulated ? */
  103. task->handles[0] = get_block(dataAp, nblocks, k, k);
  104. task->handles[1] = get_block(dataAp, nblocks, j, k);
  105. if (!no_prio && (j == k+1))
  106. {
  107. task->priority = STARPU_MAX_PRIO;
  108. }
  109. /* enforce dependencies ... */
  110. #if 0
  111. starpu_tag_declare_deps(TAG12(k, i), 1, PIVOT(k, i));
  112. #endif
  113. if (k > 0)
  114. {
  115. starpu_tag_declare_deps(TAG12(k, j), 2, TAG11(k), TAG22(k-1, k, j));
  116. }
  117. else
  118. {
  119. starpu_tag_declare_deps(TAG12(k, j), 1, TAG11(k));
  120. }
  121. ret = starpu_task_submit(task);
  122. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  123. return ret;
  124. }
  125. static int create_task_21(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i,
  126. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  127. {
  128. int ret;
  129. struct starpu_task *task = create_task(TAG21(k, i));
  130. task->cl = &cl21;
  131. /* which sub-data is manipulated ? */
  132. task->handles[0] = get_block(dataAp, nblocks, k, k);
  133. task->handles[1] = get_block(dataAp, nblocks, k, i);
  134. if (!no_prio && (i == k+1))
  135. {
  136. task->priority = STARPU_MAX_PRIO;
  137. }
  138. task->cl_arg = (void *)(task->tag_id);
  139. /* enforce dependencies ... */
  140. starpu_tag_declare_deps(TAG21(k, i), 1, PIVOT(k, i));
  141. ret = starpu_task_submit(task);
  142. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  143. return ret;
  144. }
  145. static int create_task_22(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i, unsigned j,
  146. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  147. {
  148. int ret;
  149. /* printf("task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j)); */
  150. struct starpu_task *task = create_task(TAG22(k, i, j));
  151. task->cl = &cl22;
  152. task->cl_arg = (void *)(task->tag_id);
  153. /* which sub-data is manipulated ? */
  154. task->handles[0] = get_block(dataAp, nblocks, k, i); /* produced by TAG21(k, i) */
  155. task->handles[1] = get_block(dataAp, nblocks, j, k); /* produced by TAG12(k, j) */
  156. task->handles[2] = get_block(dataAp, nblocks, j, i); /* produced by TAG22(k-1, i, j) */
  157. if (!no_prio && (i == k + 1) && (j == k +1) )
  158. {
  159. task->priority = STARPU_MAX_PRIO;
  160. }
  161. /* enforce dependencies ... */
  162. if (k > 0)
  163. {
  164. starpu_tag_declare_deps(TAG22(k, i, j), 3, TAG22(k-1, i, j), TAG12(k, j), TAG21(k, i));
  165. }
  166. else
  167. {
  168. starpu_tag_declare_deps(TAG22(k, i, j), 2, TAG12(k, j), TAG21(k, i));
  169. }
  170. ret = starpu_task_submit(task);
  171. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  172. return ret;
  173. }
  174. /*
  175. * code to bootstrap the factorization
  176. */
  177. static int dw_codelet_facto_pivot(starpu_data_handle_t *dataAp,
  178. struct piv_s *piv_description,
  179. unsigned nblocks,
  180. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned),
  181. double *timing)
  182. {
  183. int ret;
  184. double start;
  185. double end;
  186. struct starpu_task *entry_task = NULL;
  187. /* create all the DAG nodes */
  188. unsigned i,j,k;
  189. if (bound)
  190. starpu_bound_start(bounddeps, boundprio);
  191. for (k = 0; k < nblocks; k++)
  192. {
  193. struct starpu_task *task = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);
  194. /* we defer the launch of the first task */
  195. if (k == 0)
  196. {
  197. entry_task = task;
  198. }
  199. else
  200. {
  201. ret = starpu_task_submit(task);
  202. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  203. return ret;
  204. }
  205. for (i = 0; i < nblocks; i++)
  206. {
  207. if (i != k)
  208. {
  209. ret = create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);
  210. if (ret == -ENODEV) return ret;
  211. }
  212. }
  213. for (i = k+1; i<nblocks; i++)
  214. {
  215. ret = create_task_12(dataAp, nblocks, k, i, get_block);
  216. if (ret == -ENODEV) return ret;
  217. ret = create_task_21(dataAp, nblocks, k, i, get_block);
  218. if (ret == -ENODEV) return ret;
  219. }
  220. for (i = k+1; i<nblocks; i++)
  221. {
  222. for (j = k+1; j<nblocks; j++)
  223. {
  224. ret = create_task_22(dataAp, nblocks, k, i, j, get_block);
  225. if (ret == -ENODEV) return ret;
  226. }
  227. }
  228. }
  229. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot tasks */
  230. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t));
  231. unsigned ndeps = 0;
  232. tags[ndeps++] = TAG11(nblocks - 1);
  233. for (j = 0; j < nblocks; j++)
  234. {
  235. for (i = 0; i < j; i++)
  236. {
  237. tags[ndeps++] = PIVOT(j, i);
  238. }
  239. }
  240. /* schedule the codelet */
  241. start = starpu_timing_now();
  242. ret = starpu_task_submit(entry_task);
  243. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  244. /* stall the application until the end of computations */
  245. starpu_tag_wait_array(ndeps, tags);
  246. /* starpu_task_wait_for_all(); */
  247. free(tags);
  248. end = starpu_timing_now();
  249. if (bound)
  250. starpu_bound_stop();
  251. *timing = end - start;
  252. return 0;
  253. }
  254. starpu_data_handle_t get_block_with_striding(starpu_data_handle_t *dataAp,
  255. unsigned nblocks STARPU_ATTRIBUTE_UNUSED, unsigned j, unsigned i)
  256. {
  257. /* we use filters */
  258. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  259. }
  260. int STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  261. {
  262. starpu_data_handle_t dataA;
  263. /* monitor and partition the A matrix into blocks :
  264. * one block is now determined by 2 unsigned (i,j) */
  265. starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  266. /* We already enforce deps by hand */
  267. starpu_data_set_sequential_consistency_flag(dataA, 0);
  268. struct starpu_data_filter f =
  269. {
  270. .filter_func = starpu_matrix_filter_vertical_block,
  271. .nchildren = nblocks
  272. };
  273. struct starpu_data_filter f2 =
  274. {
  275. .filter_func = starpu_matrix_filter_block,
  276. .nchildren = nblocks
  277. };
  278. starpu_data_map_filters(dataA, 2, &f, &f2);
  279. unsigned i;
  280. for (i = 0; i < size; i++)
  281. ipiv[i] = i;
  282. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  283. unsigned block;
  284. for (block = 0; block < nblocks; block++)
  285. {
  286. piv_description[block].piv = ipiv;
  287. piv_description[block].first = block * (size / nblocks);
  288. piv_description[block].last = (block + 1) * (size / nblocks);
  289. }
  290. #if 0
  291. unsigned j;
  292. for (j = 0; j < nblocks; j++)
  293. for (i = 0; i < nblocks; i++)
  294. {
  295. printf("BLOCK %d %d %p\n", i, j, &matA[i*(size/nblocks) + j * (size/nblocks)*ld]);
  296. }
  297. #endif
  298. double timing=0.0;
  299. int ret = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding, &timing);
  300. unsigned n = starpu_matrix_get_nx(dataA);
  301. double flop = (2.0f*n*n*n)/3.0f;
  302. PRINTF("# size\tms\tGFlops");
  303. if (bound)
  304. PRINTF("\tTms\tTGFlops");
  305. PRINTF("\n");
  306. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  307. if (bound)
  308. {
  309. double min;
  310. starpu_bound_compute(&min, NULL, 0);
  311. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  312. }
  313. PRINTF("\n");
  314. /* gather all the data */
  315. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  316. free(piv_description);
  317. return ret;
  318. }
  319. starpu_data_handle_t get_block_with_no_striding(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned j, unsigned i)
  320. {
  321. /* dataAp is an array of data handle */
  322. return dataAp[i+j*nblocks];
  323. }
  324. int STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  325. {
  326. starpu_data_handle_t *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle_t));
  327. /* monitor and partition the A matrix into blocks :
  328. * one block is now determined by 2 unsigned (i,j) */
  329. unsigned bi, bj;
  330. for (bj = 0; bj < nblocks; bj++)
  331. for (bi = 0; bi < nblocks; bi++)
  332. {
  333. starpu_matrix_data_register(&dataAp[bi+nblocks*bj], STARPU_MAIN_RAM,
  334. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  335. size/nblocks, size/nblocks, sizeof(TYPE));
  336. /* We already enforce deps by hand */
  337. starpu_data_set_sequential_consistency_flag(dataAp[bi+nblocks*bj], 0);
  338. }
  339. unsigned i;
  340. for (i = 0; i < size; i++)
  341. ipiv[i] = i;
  342. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  343. unsigned block;
  344. for (block = 0; block < nblocks; block++)
  345. {
  346. piv_description[block].piv = ipiv;
  347. piv_description[block].first = block * (size / nblocks);
  348. piv_description[block].last = (block + 1) * (size / nblocks);
  349. }
  350. double timing=0.0;
  351. int ret = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding, &timing);
  352. unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;
  353. double flop = (2.0f*n*n*n)/3.0f;
  354. PRINTF("# size\tms\tGFlops");
  355. if (bound)
  356. PRINTF("\tTms\tTGFlops");
  357. PRINTF("\n");
  358. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  359. if (bound)
  360. {
  361. double min;
  362. starpu_bound_compute(&min, NULL, 0);
  363. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  364. }
  365. PRINTF("\n");
  366. for (bj = 0; bj < nblocks; bj++)
  367. for (bi = 0; bi < nblocks; bi++)
  368. {
  369. starpu_data_unregister(dataAp[bi+nblocks*bj]);
  370. }
  371. free(dataAp);
  372. return ret;
  373. }