xlu_pivot.c 12 KB

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  1. /* StarPUf --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009, 2010 Université de Bordeaux 1
  4. * Copyright (C) 2010 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. #define TAG11(k) ((starpu_tag_t)( (1ULL<<60) | (unsigned long long)(k)))
  20. #define TAG12(k,i) ((starpu_tag_t)(((2ULL<<60) | (((unsigned long long)(k))<<32) \
  21. | (unsigned long long)(i))))
  22. #define TAG21(k,j) ((starpu_tag_t)(((3ULL<<60) | (((unsigned long long)(k))<<32) \
  23. | (unsigned long long)(j))))
  24. #define TAG22(k,i,j) ((starpu_tag_t)(((4ULL<<60) | ((unsigned long long)(k)<<32) \
  25. | ((unsigned long long)(i)<<16) \
  26. | (unsigned long long)(j))))
  27. #define PIVOT(k,i) ((starpu_tag_t)(((5ULL<<60) | (((unsigned long long)(k))<<32) \
  28. | (unsigned long long)(i))))
  29. static unsigned no_prio = 0;
  30. starpu_data_handle xlu_pivot_dataA;
  31. starpu_data_handle *xlu_pivot_dataAp;
  32. /* struct timeval xlu_pivot_start; */
  33. /* struct timeval xlu_pivot_end; */
  34. /* struct timeval xlu_pivot_no_stride_start; */
  35. /* struct timeval xlu_pivot_no_stride_end; */
  36. /*
  37. * Construct the DAG
  38. */
  39. static struct starpu_task *create_task(starpu_tag_t id)
  40. {
  41. struct starpu_task *task = starpu_task_create();
  42. task->cl_arg = NULL;
  43. task->use_tag = 1;
  44. task->tag_id = id;
  45. return task;
  46. }
  47. static void create_task_pivot(starpu_data_handle *dataAp, unsigned nblocks,
  48. struct piv_s *piv_description,
  49. unsigned k, unsigned i,
  50. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned))
  51. {
  52. struct starpu_task *task = create_task(PIVOT(k, i));
  53. task->cl = &cl_pivot;
  54. /* which sub-data is manipulated ? */
  55. task->buffers[0].handle = get_block(dataAp, nblocks, k, i);
  56. task->buffers[0].mode = STARPU_RW;
  57. task->cl_arg = &piv_description[k];
  58. /* this is an important task */
  59. if (!no_prio && (i == k+1))
  60. task->priority = STARPU_MAX_PRIO;
  61. /* enforce dependencies ... */
  62. if (k == 0) {
  63. starpu_tag_declare_deps(PIVOT(k, i), 1, TAG11(k));
  64. }
  65. else
  66. {
  67. if (i > k) {
  68. starpu_tag_declare_deps(PIVOT(k, i), 2, TAG11(k), TAG22(k-1, i, k));
  69. }
  70. else {
  71. starpu_tag_t *tags = malloc((nblocks - k)*sizeof(starpu_tag_t));
  72. tags[0] = TAG11(k);
  73. unsigned ind, ind2;
  74. for (ind = k + 1, ind2 = 0; ind < nblocks; ind++, ind2++)
  75. {
  76. tags[1 + ind2] = TAG22(k-1, ind, k);
  77. }
  78. /* perhaps we could do better ... :/ */
  79. starpu_tag_declare_deps_array(PIVOT(k, i), (nblocks-k), tags);
  80. }
  81. }
  82. starpu_task_submit(task);
  83. }
  84. static struct starpu_task *create_task_11_pivot(starpu_data_handle *dataAp, unsigned nblocks,
  85. unsigned k, struct piv_s *piv_description,
  86. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned))
  87. {
  88. struct starpu_task *task = create_task(TAG11(k));
  89. task->cl = &cl11_pivot;
  90. task->cl_arg = &piv_description[k];
  91. /* which sub-data is manipulated ? */
  92. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  93. task->buffers[0].mode = STARPU_RW;
  94. /* this is an important task */
  95. if (!no_prio)
  96. task->priority = STARPU_MAX_PRIO;
  97. /* enforce dependencies ... */
  98. if (k > 0) {
  99. starpu_tag_declare_deps(TAG11(k), 1, TAG22(k-1, k, k));
  100. }
  101. return task;
  102. }
  103. static void create_task_12(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned j,
  104. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned))
  105. {
  106. // printf("task 12 k,i = %d,%d TAG = %llx\n", k,i, TAG12(k,i));
  107. struct starpu_task *task = create_task(TAG12(k, j));
  108. task->cl = &cl12;
  109. task->cl_arg = (void *)(task->tag_id);
  110. /* which sub-data is manipulated ? */
  111. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  112. task->buffers[0].mode = STARPU_R;
  113. task->buffers[1].handle = get_block(dataAp, nblocks, j, k);
  114. task->buffers[1].mode = STARPU_RW;
  115. if (!no_prio && (j == k+1)) {
  116. task->priority = STARPU_MAX_PRIO;
  117. }
  118. /* enforce dependencies ... */
  119. #if 0
  120. starpu_tag_declare_deps(TAG12(k, i), 1, PIVOT(k, i));
  121. #endif
  122. if (k > 0) {
  123. starpu_tag_declare_deps(TAG12(k, j), 2, TAG11(k), TAG22(k-1, k, j));
  124. }
  125. else {
  126. starpu_tag_declare_deps(TAG12(k, j), 1, TAG11(k));
  127. }
  128. starpu_task_submit(task);
  129. }
  130. static void create_task_21(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned i,
  131. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned))
  132. {
  133. struct starpu_task *task = create_task(TAG21(k, i));
  134. task->cl = &cl21;
  135. /* which sub-data is manipulated ? */
  136. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  137. task->buffers[0].mode = STARPU_R;
  138. task->buffers[1].handle = get_block(dataAp, nblocks, k, i);
  139. task->buffers[1].mode = STARPU_RW;
  140. if (!no_prio && (i == k+1)) {
  141. task->priority = STARPU_MAX_PRIO;
  142. }
  143. task->cl_arg = (void *)(task->tag_id);
  144. /* enforce dependencies ... */
  145. starpu_tag_declare_deps(TAG21(k, i), 1, PIVOT(k, i));
  146. starpu_task_submit(task);
  147. }
  148. static void create_task_22(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned i, unsigned j,
  149. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned))
  150. {
  151. // printf("task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j));
  152. struct starpu_task *task = create_task(TAG22(k, i, j));
  153. task->cl = &cl22;
  154. task->cl_arg = (void *)(task->tag_id);
  155. /* which sub-data is manipulated ? */
  156. task->buffers[0].handle = get_block(dataAp, nblocks, k, i); /* produced by TAG21(k, i) */
  157. task->buffers[0].mode = STARPU_R;
  158. task->buffers[1].handle = get_block(dataAp, nblocks, j, k); /* produced by TAG12(k, j) */
  159. task->buffers[1].mode = STARPU_R;
  160. task->buffers[2].handle = get_block(dataAp, nblocks, j, i); /* produced by TAG22(k-1, i, j) */
  161. task->buffers[2].mode = STARPU_RW;
  162. if (!no_prio && (i == k + 1) && (j == k +1) ) {
  163. task->priority = STARPU_MAX_PRIO;
  164. }
  165. /* enforce dependencies ... */
  166. if (k > 0) {
  167. starpu_tag_declare_deps(TAG22(k, i, j), 3, TAG22(k-1, i, j), TAG12(k, j), TAG21(k, i));
  168. }
  169. else {
  170. starpu_tag_declare_deps(TAG22(k, i, j), 2, TAG12(k, j), TAG21(k, i));
  171. }
  172. starpu_task_submit(task);
  173. }
  174. /*
  175. * code to bootstrap the factorization
  176. */
  177. static double dw_codelet_facto_pivot(starpu_data_handle *dataAp,
  178. struct piv_s *piv_description,
  179. unsigned nblocks,
  180. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct timeval *start)
  181. {
  182. struct starpu_task *entry_task = NULL;
  183. /* create all the DAG nodes */
  184. unsigned i,j,k;
  185. for (k = 0; k < nblocks; k++)
  186. {
  187. struct starpu_task *task = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);
  188. /* we defer the launch of the first task */
  189. if (k == 0) {
  190. entry_task = task;
  191. }
  192. else {
  193. starpu_task_submit(task);
  194. }
  195. for (i = 0; i < nblocks; i++)
  196. {
  197. if (i != k)
  198. create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);
  199. }
  200. for (i = k+1; i<nblocks; i++)
  201. {
  202. create_task_12(dataAp, nblocks, k, i, get_block);
  203. create_task_21(dataAp, nblocks, k, i, get_block);
  204. }
  205. for (i = k+1; i<nblocks; i++)
  206. {
  207. for (j = k+1; j<nblocks; j++)
  208. {
  209. create_task_22(dataAp, nblocks, k, i, j, get_block);
  210. }
  211. }
  212. }
  213. /* schedule the codelet */
  214. if(start != NULL)
  215. gettimeofday(start, NULL);
  216. int ret = starpu_task_submit(entry_task);
  217. if (STARPU_UNLIKELY(ret == -ENODEV))
  218. {
  219. fprintf(stderr, "No worker may execute this task\n");
  220. exit(-1);
  221. }
  222. return 0;
  223. }
  224. starpu_data_handle get_block_with_striding(starpu_data_handle *dataAp,
  225. unsigned nblocks __attribute__((unused)), unsigned j, unsigned i)
  226. {
  227. /* we use filters */
  228. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  229. }
  230. void STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks, struct timeval *start)
  231. {
  232. /* monitor and partition the A matrix into blocks :
  233. * one block is now determined by 2 unsigned (i,j) */
  234. starpu_matrix_data_register(&xlu_pivot_dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  235. /* We already enforce deps by hand */
  236. starpu_data_set_sequential_consistency_flag(xlu_pivot_dataA, 0);
  237. struct starpu_data_filter f;
  238. f.filter_func = starpu_vertical_block_filter_func;
  239. f.nchildren = nblocks;
  240. struct starpu_data_filter f2;
  241. f2.filter_func = starpu_block_filter_func;
  242. f2.nchildren = nblocks;
  243. starpu_data_map_filters(xlu_pivot_dataA, 2, &f, &f2);
  244. unsigned i;
  245. for (i = 0; i < size; i++)
  246. ipiv[i] = i;
  247. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  248. unsigned block;
  249. for (block = 0; block < nblocks; block++)
  250. {
  251. piv_description[block].piv = ipiv;
  252. piv_description[block].first = block * (size / nblocks);
  253. piv_description[block].last = (block + 1) * (size / nblocks);
  254. }
  255. #if 0
  256. unsigned j;
  257. for (j = 0; j < nblocks; j++)
  258. for (i = 0; i < nblocks; i++)
  259. {
  260. printf("BLOCK %d %d %p\n", i, j, &matA[i*(size/nblocks) + j * (size/nblocks)*ld]);
  261. }
  262. #endif
  263. dw_codelet_facto_pivot(&xlu_pivot_dataA, piv_description, nblocks, get_block_with_striding, start);
  264. }
  265. starpu_data_handle get_block_with_no_striding(starpu_data_handle *dataAp, unsigned nblocks, unsigned j, unsigned i)
  266. {
  267. /* dataAp is an array of data handle */
  268. return dataAp[i+j*nblocks];
  269. }
  270. void STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks, struct timeval *start)
  271. {
  272. xlu_pivot_dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle));
  273. /* monitor and partition the A matrix into blocks :
  274. * one block is now determined by 2 unsigned (i,j) */
  275. unsigned bi, bj;
  276. for (bj = 0; bj < nblocks; bj++)
  277. for (bi = 0; bi < nblocks; bi++)
  278. {
  279. starpu_matrix_data_register(&xlu_pivot_dataAp[bi+nblocks*bj], 0,
  280. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  281. size/nblocks, size/nblocks, sizeof(TYPE));
  282. /* We already enforce deps by hand */
  283. starpu_data_set_sequential_consistency_flag(xlu_pivot_dataAp[bi+nblocks*bj], 0);
  284. }
  285. unsigned i;
  286. for (i = 0; i < size; i++)
  287. ipiv[i] = i;
  288. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  289. unsigned block;
  290. for (block = 0; block < nblocks; block++)
  291. {
  292. piv_description[block].piv = ipiv;
  293. piv_description[block].first = block * (size / nblocks);
  294. piv_description[block].last = (block + 1) * (size / nblocks);
  295. }
  296. dw_codelet_facto_pivot(xlu_pivot_dataAp, piv_description, nblocks, get_block_with_no_striding, start);
  297. }
  298. void finish_lu_decomposition_pivot(unsigned nblocks, struct timeval *end)
  299. {
  300. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot tasks */
  301. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t));
  302. unsigned ndeps = 0;
  303. tags[ndeps++] = TAG11(nblocks - 1);
  304. unsigned i, j;
  305. for (j = 0; j < nblocks; j++)
  306. {
  307. for (i = 0; i < j; i++)
  308. {
  309. tags[ndeps++] = PIVOT(j, i);
  310. }
  311. }
  312. /* stall the application until the end of computations */
  313. starpu_tag_wait_array(ndeps, tags);
  314. // starpu_task_wait_for_all();
  315. if(end != NULL)
  316. gettimeofday(end, NULL);
  317. /* gather all the data */
  318. starpu_data_unpartition(xlu_pivot_dataA, 0);
  319. }
  320. void finish_lu_decomposition_pivot_no_stride(unsigned nblocks, struct timeval *end)
  321. {
  322. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot tasks */
  323. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t));
  324. unsigned ndeps = 0;
  325. tags[ndeps++] = TAG11(nblocks - 1);
  326. unsigned i, j;
  327. for (j = 0; j < nblocks; j++)
  328. {
  329. for (i = 0; i < j; i++)
  330. {
  331. tags[ndeps++] = PIVOT(j, i);
  332. }
  333. }
  334. /* stall the application until the end of computations */
  335. starpu_tag_wait_array(ndeps, tags);
  336. // starpu_task_wait_for_all();
  337. if(end != NULL)
  338. gettimeofday(end, NULL);
  339. unsigned bi, bj;
  340. for (bj = 0; bj < nblocks; bj++)
  341. for (bi = 0; bi < nblocks; bi++)
  342. {
  343. starpu_data_unregister(xlu_pivot_dataAp[bi+nblocks*bj]);
  344. }
  345. }