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, 2017 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. starpu_iteration_push(k);
  194. struct starpu_task *task = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);
  195. /* we defer the launch of the first task */
  196. if (k == 0)
  197. {
  198. entry_task = task;
  199. }
  200. else
  201. {
  202. ret = starpu_task_submit(task);
  203. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  204. return ret;
  205. }
  206. for (i = 0; i < nblocks; i++)
  207. {
  208. if (i != k)
  209. {
  210. ret = create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);
  211. if (ret == -ENODEV) return ret;
  212. }
  213. }
  214. for (i = k+1; i<nblocks; i++)
  215. {
  216. ret = create_task_12(dataAp, nblocks, k, i, get_block);
  217. if (ret == -ENODEV) return ret;
  218. ret = create_task_21(dataAp, nblocks, k, i, get_block);
  219. if (ret == -ENODEV) return ret;
  220. }
  221. for (i = k+1; i<nblocks; i++)
  222. {
  223. for (j = k+1; j<nblocks; j++)
  224. {
  225. ret = create_task_22(dataAp, nblocks, k, i, j, get_block);
  226. if (ret == -ENODEV) return ret;
  227. }
  228. }
  229. starpu_iteration_pop();
  230. }
  231. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot tasks */
  232. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t));
  233. unsigned ndeps = 0;
  234. tags[ndeps++] = TAG11(nblocks - 1);
  235. for (j = 0; j < nblocks; j++)
  236. {
  237. for (i = 0; i < j; i++)
  238. {
  239. tags[ndeps++] = PIVOT(j, i);
  240. }
  241. }
  242. /* schedule the codelet */
  243. start = starpu_timing_now();
  244. ret = starpu_task_submit(entry_task);
  245. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  246. /* stall the application until the end of computations */
  247. starpu_tag_wait_array(ndeps, tags);
  248. /* starpu_task_wait_for_all(); */
  249. free(tags);
  250. end = starpu_timing_now();
  251. if (bound)
  252. starpu_bound_stop();
  253. *timing = end - start;
  254. return 0;
  255. }
  256. starpu_data_handle_t get_block_with_striding(starpu_data_handle_t *dataAp,
  257. unsigned nblocks STARPU_ATTRIBUTE_UNUSED, unsigned j, unsigned i)
  258. {
  259. /* we use filters */
  260. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  261. }
  262. int STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  263. {
  264. starpu_data_handle_t dataA;
  265. /* monitor and partition the A matrix into blocks :
  266. * one block is now determined by 2 unsigned (i,j) */
  267. starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  268. /* We already enforce deps by hand */
  269. starpu_data_set_sequential_consistency_flag(dataA, 0);
  270. struct starpu_data_filter f =
  271. {
  272. .filter_func = starpu_matrix_filter_vertical_block,
  273. .nchildren = nblocks
  274. };
  275. struct starpu_data_filter f2 =
  276. {
  277. .filter_func = starpu_matrix_filter_block,
  278. .nchildren = nblocks
  279. };
  280. starpu_data_map_filters(dataA, 2, &f, &f2);
  281. unsigned i;
  282. for (i = 0; i < size; i++)
  283. ipiv[i] = i;
  284. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  285. unsigned block;
  286. for (block = 0; block < nblocks; block++)
  287. {
  288. piv_description[block].piv = ipiv;
  289. piv_description[block].first = block * (size / nblocks);
  290. piv_description[block].last = (block + 1) * (size / nblocks);
  291. }
  292. #if 0
  293. unsigned j;
  294. for (j = 0; j < nblocks; j++)
  295. for (i = 0; i < nblocks; i++)
  296. {
  297. printf("BLOCK %d %d %p\n", i, j, &matA[i*(size/nblocks) + j * (size/nblocks)*ld]);
  298. }
  299. #endif
  300. double timing=0.0;
  301. int ret = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding, &timing);
  302. unsigned n = starpu_matrix_get_nx(dataA);
  303. double flop = (2.0f*n*n*n)/3.0f;
  304. PRINTF("# size\tms\tGFlops");
  305. if (bound)
  306. PRINTF("\tTms\tTGFlops");
  307. PRINTF("\n");
  308. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  309. if (bound)
  310. {
  311. double min;
  312. starpu_bound_compute(&min, NULL, 0);
  313. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  314. }
  315. PRINTF("\n");
  316. /* gather all the data */
  317. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  318. free(piv_description);
  319. return ret;
  320. }
  321. starpu_data_handle_t get_block_with_no_striding(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned j, unsigned i)
  322. {
  323. /* dataAp is an array of data handle */
  324. return dataAp[i+j*nblocks];
  325. }
  326. int STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  327. {
  328. starpu_data_handle_t *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle_t));
  329. /* monitor and partition the A matrix into blocks :
  330. * one block is now determined by 2 unsigned (i,j) */
  331. unsigned bi, bj;
  332. for (bj = 0; bj < nblocks; bj++)
  333. for (bi = 0; bi < nblocks; bi++)
  334. {
  335. starpu_matrix_data_register(&dataAp[bi+nblocks*bj], STARPU_MAIN_RAM,
  336. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  337. size/nblocks, size/nblocks, sizeof(TYPE));
  338. /* We already enforce deps by hand */
  339. starpu_data_set_sequential_consistency_flag(dataAp[bi+nblocks*bj], 0);
  340. }
  341. unsigned i;
  342. for (i = 0; i < size; i++)
  343. ipiv[i] = i;
  344. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  345. unsigned block;
  346. for (block = 0; block < nblocks; block++)
  347. {
  348. piv_description[block].piv = ipiv;
  349. piv_description[block].first = block * (size / nblocks);
  350. piv_description[block].last = (block + 1) * (size / nblocks);
  351. }
  352. double timing=0.0;
  353. int ret = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding, &timing);
  354. unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;
  355. double flop = (2.0f*n*n*n)/3.0f;
  356. PRINTF("# size\tms\tGFlops");
  357. if (bound)
  358. PRINTF("\tTms\tTGFlops");
  359. PRINTF("\n");
  360. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  361. if (bound)
  362. {
  363. double min;
  364. starpu_bound_compute(&min, NULL, 0);
  365. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  366. }
  367. PRINTF("\n");
  368. for (bj = 0; bj < nblocks; bj++)
  369. for (bi = 0; bi < nblocks; bi++)
  370. {
  371. starpu_data_unregister(dataAp[bi+nblocks*bj]);
  372. }
  373. free(dataAp);
  374. return ret;
  375. }