xlu_pivot.c 12 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371372373374375376377378379380381382383384385386387388389390391392393394395396397398399400401402403404405406407408409410411412413414415416417418419420421422423424425426427428429430431432433434435436437438439440441442443444445446447448449450451452453454455456457458459460461462463464465466467468469
  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2012, 2014 Université de Bordeaux
  4. * Copyright (C) 2010, 2011, 2012 Centre National de la Recherche Scientifique
  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. #include "xlu.h"
  18. #include "xlu_kernels.h"
  19. static unsigned no_prio = 0;
  20. /*
  21. * Construct the DAG
  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. static int create_task_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,
  32. struct piv_s *piv_description,
  33. unsigned k, unsigned i,
  34. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  35. {
  36. int ret;
  37. struct starpu_task *task = create_task(PIVOT(k, i));
  38. task->cl = &cl_pivot;
  39. /* which sub-data is manipulated ? */
  40. task->handles[0] = get_block(dataAp, nblocks, k, i);
  41. task->cl_arg = &piv_description[k];
  42. /* this is an important task */
  43. if (!no_prio && (i == k+1))
  44. task->priority = STARPU_MAX_PRIO;
  45. /* enforce dependencies ... */
  46. if (k == 0)
  47. {
  48. starpu_tag_declare_deps(PIVOT(k, i), 1, TAG11(k));
  49. }
  50. else
  51. {
  52. if (i > k)
  53. {
  54. starpu_tag_declare_deps(PIVOT(k, i), 2, TAG11(k), TAG22(k-1, i, k));
  55. }
  56. else
  57. {
  58. starpu_tag_t *tags = malloc((nblocks - k)*sizeof(starpu_tag_t));
  59. tags[0] = TAG11(k);
  60. unsigned ind, ind2;
  61. for (ind = k + 1, ind2 = 0; ind < nblocks; ind++, ind2++)
  62. {
  63. tags[1 + ind2] = TAG22(k-1, ind, k);
  64. }
  65. /* perhaps we could do better ... :/ */
  66. starpu_tag_declare_deps_array(PIVOT(k, i), (nblocks-k), tags);
  67. free(tags);
  68. }
  69. }
  70. ret = starpu_task_submit(task);
  71. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  72. return ret;
  73. }
  74. static struct starpu_task *create_task_11_pivot(starpu_data_handle_t *dataAp, unsigned nblocks,
  75. unsigned k, struct piv_s *piv_description,
  76. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  77. {
  78. struct starpu_task *task = create_task(TAG11(k));
  79. task->cl = &cl11_pivot;
  80. task->cl_arg = &piv_description[k];
  81. /* which sub-data is manipulated ? */
  82. task->handles[0] = get_block(dataAp, nblocks, k, k);
  83. /* this is an important task */
  84. if (!no_prio)
  85. task->priority = STARPU_MAX_PRIO;
  86. /* enforce dependencies ... */
  87. if (k > 0)
  88. {
  89. starpu_tag_declare_deps(TAG11(k), 1, TAG22(k-1, k, k));
  90. }
  91. return task;
  92. }
  93. static int create_task_12(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned j,
  94. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  95. {
  96. int ret;
  97. /* printf("task 12 k,i = %d,%d TAG = %llx\n", k,i, TAG12(k,i)); */
  98. struct starpu_task *task = create_task(TAG12(k, j));
  99. task->cl = &cl12;
  100. task->cl_arg = (void *)(task->tag_id);
  101. /* which sub-data is manipulated ? */
  102. task->handles[0] = get_block(dataAp, nblocks, k, k);
  103. task->handles[1] = get_block(dataAp, nblocks, j, k);
  104. if (!no_prio && (j == k+1))
  105. {
  106. task->priority = STARPU_MAX_PRIO;
  107. }
  108. /* enforce dependencies ... */
  109. #if 0
  110. starpu_tag_declare_deps(TAG12(k, i), 1, PIVOT(k, i));
  111. #endif
  112. if (k > 0)
  113. {
  114. starpu_tag_declare_deps(TAG12(k, j), 2, TAG11(k), TAG22(k-1, k, j));
  115. }
  116. else
  117. {
  118. starpu_tag_declare_deps(TAG12(k, j), 1, TAG11(k));
  119. }
  120. ret = starpu_task_submit(task);
  121. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  122. return ret;
  123. }
  124. static int create_task_21(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i,
  125. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  126. {
  127. int ret;
  128. struct starpu_task *task = create_task(TAG21(k, i));
  129. task->cl = &cl21;
  130. /* which sub-data is manipulated ? */
  131. task->handles[0] = get_block(dataAp, nblocks, k, k);
  132. task->handles[1] = get_block(dataAp, nblocks, k, i);
  133. if (!no_prio && (i == k+1))
  134. {
  135. task->priority = STARPU_MAX_PRIO;
  136. }
  137. task->cl_arg = (void *)(task->tag_id);
  138. /* enforce dependencies ... */
  139. starpu_tag_declare_deps(TAG21(k, i), 1, PIVOT(k, i));
  140. ret = starpu_task_submit(task);
  141. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  142. return ret;
  143. }
  144. static int create_task_22(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned k, unsigned i, unsigned j,
  145. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned))
  146. {
  147. int ret;
  148. /* printf("task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j)); */
  149. struct starpu_task *task = create_task(TAG22(k, i, j));
  150. task->cl = &cl22;
  151. task->cl_arg = (void *)(task->tag_id);
  152. /* which sub-data is manipulated ? */
  153. task->handles[0] = get_block(dataAp, nblocks, k, i); /* produced by TAG21(k, i) */
  154. task->handles[1] = get_block(dataAp, nblocks, j, k); /* produced by TAG12(k, j) */
  155. task->handles[2] = get_block(dataAp, nblocks, j, i); /* produced by TAG22(k-1, i, j) */
  156. if (!no_prio && (i == k + 1) && (j == k +1) )
  157. {
  158. task->priority = STARPU_MAX_PRIO;
  159. }
  160. /* enforce dependencies ... */
  161. if (k > 0)
  162. {
  163. starpu_tag_declare_deps(TAG22(k, i, j), 3, TAG22(k-1, i, j), TAG12(k, j), TAG21(k, i));
  164. }
  165. else
  166. {
  167. starpu_tag_declare_deps(TAG22(k, i, j), 2, TAG12(k, j), TAG21(k, i));
  168. }
  169. ret = starpu_task_submit(task);
  170. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  171. return ret;
  172. }
  173. /*
  174. * code to bootstrap the factorization
  175. */
  176. static int dw_codelet_facto_pivot(starpu_data_handle_t *dataAp,
  177. struct piv_s *piv_description,
  178. unsigned nblocks,
  179. starpu_data_handle_t (* get_block)(starpu_data_handle_t *, unsigned, unsigned, unsigned),
  180. double *timing)
  181. {
  182. int ret;
  183. double start;
  184. double end;
  185. struct starpu_task *entry_task = NULL;
  186. /* create all the DAG nodes */
  187. unsigned i,j,k;
  188. if (bound)
  189. starpu_bound_start(bounddeps, boundprio);
  190. for (k = 0; k < nblocks; k++)
  191. {
  192. struct starpu_task *task = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);
  193. /* we defer the launch of the first task */
  194. if (k == 0)
  195. {
  196. entry_task = task;
  197. }
  198. else
  199. {
  200. ret = starpu_task_submit(task);
  201. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  202. return ret;
  203. }
  204. for (i = 0; i < nblocks; i++)
  205. {
  206. if (i != k)
  207. {
  208. ret = create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);
  209. if (ret == -ENODEV) return ret;
  210. }
  211. }
  212. for (i = k+1; i<nblocks; i++)
  213. {
  214. ret = create_task_12(dataAp, nblocks, k, i, get_block);
  215. if (ret == -ENODEV) return ret;
  216. ret = create_task_21(dataAp, nblocks, k, i, get_block);
  217. if (ret == -ENODEV) return ret;
  218. }
  219. for (i = k+1; i<nblocks; i++)
  220. {
  221. for (j = k+1; j<nblocks; j++)
  222. {
  223. ret = create_task_22(dataAp, nblocks, k, i, j, get_block);
  224. if (ret == -ENODEV) return ret;
  225. }
  226. }
  227. }
  228. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot tasks */
  229. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t));
  230. unsigned ndeps = 0;
  231. tags[ndeps++] = TAG11(nblocks - 1);
  232. for (j = 0; j < nblocks; j++)
  233. {
  234. for (i = 0; i < j; i++)
  235. {
  236. tags[ndeps++] = PIVOT(j, i);
  237. }
  238. }
  239. /* schedule the codelet */
  240. start = starpu_timing_now();
  241. ret = starpu_task_submit(entry_task);
  242. if (ret != -ENODEV) STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  243. /* stall the application until the end of computations */
  244. starpu_tag_wait_array(ndeps, tags);
  245. /* starpu_task_wait_for_all(); */
  246. free(tags);
  247. end = starpu_timing_now();
  248. if (bound)
  249. starpu_bound_stop();
  250. *timing = end - start;
  251. return 0;
  252. }
  253. starpu_data_handle_t get_block_with_striding(starpu_data_handle_t *dataAp,
  254. unsigned nblocks STARPU_ATTRIBUTE_UNUSED, unsigned j, unsigned i)
  255. {
  256. /* we use filters */
  257. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  258. }
  259. int STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  260. {
  261. starpu_data_handle_t dataA;
  262. /* monitor and partition the A matrix into blocks :
  263. * one block is now determined by 2 unsigned (i,j) */
  264. starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  265. /* We already enforce deps by hand */
  266. starpu_data_set_sequential_consistency_flag(dataA, 0);
  267. struct starpu_data_filter f =
  268. {
  269. .filter_func = starpu_matrix_filter_vertical_block,
  270. .nchildren = nblocks
  271. };
  272. struct starpu_data_filter f2 =
  273. {
  274. .filter_func = starpu_matrix_filter_block,
  275. .nchildren = nblocks
  276. };
  277. starpu_data_map_filters(dataA, 2, &f, &f2);
  278. unsigned i;
  279. for (i = 0; i < size; i++)
  280. ipiv[i] = i;
  281. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  282. unsigned block;
  283. for (block = 0; block < nblocks; block++)
  284. {
  285. piv_description[block].piv = ipiv;
  286. piv_description[block].first = block * (size / nblocks);
  287. piv_description[block].last = (block + 1) * (size / nblocks);
  288. }
  289. #if 0
  290. unsigned j;
  291. for (j = 0; j < nblocks; j++)
  292. for (i = 0; i < nblocks; i++)
  293. {
  294. printf("BLOCK %d %d %p\n", i, j, &matA[i*(size/nblocks) + j * (size/nblocks)*ld]);
  295. }
  296. #endif
  297. double timing=0.0;
  298. int ret = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding, &timing);
  299. unsigned n = starpu_matrix_get_nx(dataA);
  300. double flop = (2.0f*n*n*n)/3.0f;
  301. PRINTF("# size\tms\tGFlops");
  302. if (bound)
  303. PRINTF("\tTms\tTGFlops");
  304. PRINTF("\n");
  305. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  306. if (bound)
  307. {
  308. double min;
  309. starpu_bound_compute(&min, NULL, 0);
  310. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  311. }
  312. PRINTF("\n");
  313. /* gather all the data */
  314. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  315. free(piv_description);
  316. return ret;
  317. }
  318. starpu_data_handle_t get_block_with_no_striding(starpu_data_handle_t *dataAp, unsigned nblocks, unsigned j, unsigned i)
  319. {
  320. /* dataAp is an array of data handle */
  321. return dataAp[i+j*nblocks];
  322. }
  323. int STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  324. {
  325. starpu_data_handle_t *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle_t));
  326. /* monitor and partition the A matrix into blocks :
  327. * one block is now determined by 2 unsigned (i,j) */
  328. unsigned bi, bj;
  329. for (bj = 0; bj < nblocks; bj++)
  330. for (bi = 0; bi < nblocks; bi++)
  331. {
  332. starpu_matrix_data_register(&dataAp[bi+nblocks*bj], STARPU_MAIN_RAM,
  333. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  334. size/nblocks, size/nblocks, sizeof(TYPE));
  335. /* We already enforce deps by hand */
  336. starpu_data_set_sequential_consistency_flag(dataAp[bi+nblocks*bj], 0);
  337. }
  338. unsigned i;
  339. for (i = 0; i < size; i++)
  340. ipiv[i] = i;
  341. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  342. unsigned block;
  343. for (block = 0; block < nblocks; block++)
  344. {
  345. piv_description[block].piv = ipiv;
  346. piv_description[block].first = block * (size / nblocks);
  347. piv_description[block].last = (block + 1) * (size / nblocks);
  348. }
  349. double timing=0.0;
  350. int ret = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding, &timing);
  351. unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;
  352. double flop = (2.0f*n*n*n)/3.0f;
  353. PRINTF("# size\tms\tGFlops");
  354. if (bound)
  355. PRINTF("\tTms\tTGFlops");
  356. PRINTF("\n");
  357. PRINTF("%u\t%.0f\t%.1f", n, timing/1000, flop/timing/1000.0f);
  358. if (bound)
  359. {
  360. double min;
  361. starpu_bound_compute(&min, NULL, 0);
  362. PRINTF("\t%.0f\t%.1f", min, flop/min/1000000.0f);
  363. }
  364. PRINTF("\n");
  365. for (bj = 0; bj < nblocks; bj++)
  366. for (bi = 0; bi < nblocks; bi++)
  367. {
  368. starpu_data_unregister(dataAp[bi+nblocks*bj]);
  369. }
  370. free(dataAp);
  371. return ret;
  372. }