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))
  181. {
  182. struct timeval start;
  183. struct timeval end;
  184. struct starpu_task *entry_task = NULL;
  185. /* create all the DAG nodes */
  186. unsigned i,j,k;
  187. for (k = 0; k < nblocks; k++)
  188. {
  189. struct starpu_task *task = create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block);
  190. /* we defer the launch of the first task */
  191. if (k == 0) {
  192. entry_task = task;
  193. }
  194. else {
  195. starpu_task_submit(task);
  196. }
  197. for (i = 0; i < nblocks; i++)
  198. {
  199. if (i != k)
  200. create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block);
  201. }
  202. for (i = k+1; i<nblocks; i++)
  203. {
  204. create_task_12(dataAp, nblocks, k, i, get_block);
  205. create_task_21(dataAp, nblocks, k, i, get_block);
  206. }
  207. for (i = k+1; i<nblocks; i++)
  208. {
  209. for (j = k+1; j<nblocks; j++)
  210. {
  211. create_task_22(dataAp, nblocks, k, i, j, get_block);
  212. }
  213. }
  214. }
  215. /* we wait the last task (TAG11(nblocks - 1)) and all the pivot \
  216. tasks */
  217. starpu_tag_t *tags = malloc(nblocks*nblocks*sizeof(starpu_tag_t)\
  218. );
  219. unsigned ndeps = 0;
  220. tags[ndeps++] = TAG11(nblocks - 1);
  221. for (j = 0; j < nblocks; j++)
  222. {
  223. for (i = 0; i < j; i++)
  224. {
  225. tags[ndeps++] = PIVOT(j, i);
  226. }
  227. }
  228. /* schedule the codelet */
  229. gettimeofday(&start, NULL);
  230. int ret = starpu_task_submit(entry_task);
  231. if (STARPU_UNLIKELY(ret == -ENODEV))
  232. {
  233. fprintf(stderr, "No worker may execute this task\n");
  234. exit(-1);
  235. }
  236. /* stall the application until the end of computations */
  237. starpu_tag_wait_array(ndeps, tags);
  238. // starpu_task_wait_for_all();
  239. gettimeofday(&end, NULL);
  240. double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
  241. return timing;
  242. }
  243. starpu_data_handle get_block_with_striding(starpu_data_handle *dataAp,
  244. unsigned nblocks __attribute__((unused)), unsigned j, unsigned i)
  245. {
  246. /* we use filters */
  247. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  248. }
  249. double STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  250. {
  251. starpu_data_handle dataA;
  252. /* monitor and partition the A matrix into blocks :
  253. * one block is now determined by 2 unsigned (i,j) */
  254. starpu_matrix_data_register(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  255. /* We already enforce deps by hand */
  256. starpu_data_set_sequential_consistency_flag(dataA, 0);
  257. struct starpu_data_filter f;
  258. f.filter_func = starpu_vertical_block_filter_func;
  259. f.nchildren = nblocks;
  260. struct starpu_data_filter f2;
  261. f2.filter_func = starpu_block_filter_func;
  262. f2.nchildren = nblocks;
  263. starpu_data_map_filters(dataA, 2, &f, &f2);
  264. unsigned i;
  265. for (i = 0; i < size; i++)
  266. ipiv[i] = i;
  267. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  268. unsigned block;
  269. for (block = 0; block < nblocks; block++)
  270. {
  271. piv_description[block].piv = ipiv;
  272. piv_description[block].first = block * (size / nblocks);
  273. piv_description[block].last = (block + 1) * (size / nblocks);
  274. }
  275. #if 0
  276. unsigned j;
  277. for (j = 0; j < nblocks; j++)
  278. for (i = 0; i < nblocks; i++)
  279. {
  280. printf("BLOCK %d %d %p\n", i, j, &matA[i*(size/nblocks) + j * (size/nblocks)*ld]);
  281. }
  282. #endif
  283. double timing;
  284. timing = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding);
  285. unsigned n = starpu_matrix_get_nx(dataA);
  286. double flop = (2.0f*n*n*n)/3.0f;
  287. double gflops = flop/timing/1000.0f;
  288. /* gather all the data */
  289. starpu_data_unpartition(dataA, 0);
  290. return gflops;
  291. }
  292. starpu_data_handle get_block_with_no_striding(starpu_data_handle *dataAp, unsigned nblocks, unsigned j, unsigned i)
  293. {
  294. /* dataAp is an array of data handle */
  295. return dataAp[i+j*nblocks];
  296. }
  297. double STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks)
  298. {
  299. starpu_data_handle *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle));
  300. /* monitor and partition the A matrix into blocks :
  301. * one block is now determined by 2 unsigned (i,j) */
  302. unsigned bi, bj;
  303. for (bj = 0; bj < nblocks; bj++)
  304. for (bi = 0; bi < nblocks; bi++)
  305. {
  306. starpu_matrix_data_register(&dataAp[bi+nblocks*bj], 0,
  307. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  308. size/nblocks, size/nblocks, sizeof(TYPE));
  309. /* We already enforce deps by hand */
  310. starpu_data_set_sequential_consistency_flag(dataAp[bi+nblocks*bj], 0);
  311. }
  312. unsigned i;
  313. for (i = 0; i < size; i++)
  314. ipiv[i] = i;
  315. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  316. unsigned block;
  317. for (block = 0; block < nblocks; block++)
  318. {
  319. piv_description[block].piv = ipiv;
  320. piv_description[block].first = block * (size / nblocks);
  321. piv_description[block].last = (block + 1) * (size / nblocks);
  322. }
  323. double timing;
  324. timing = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding);
  325. unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;
  326. double flop = (2.0f*n*n*n)/3.0f;
  327. double gflops = flop/timing/1000.0f;
  328. for (bj = 0; bj < nblocks; bj++)
  329. for (bi = 0; bi < nblocks; bi++)
  330. {
  331. starpu_data_unregister(dataAp[bi+nblocks*bj]);
  332. }
  333. return gflops;
  334. }