dw_factolu_grain.c 10 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2012-2013 Inria
  4. * Copyright (C) 2009-2011,2014-2017 Université de Bordeaux
  5. * Copyright (C) 2010 Mehdi Juhoor
  6. * Copyright (C) 2010-2013,2015-2017 CNRS
  7. *
  8. * StarPU is free software; you can redistribute it and/or modify
  9. * it under the terms of the GNU Lesser General Public License as published by
  10. * the Free Software Foundation; either version 2.1 of the License, or (at
  11. * your option) any later version.
  12. *
  13. * StarPU is distributed in the hope that it will be useful, but
  14. * WITHOUT ANY WARRANTY; without even the implied warranty of
  15. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  16. *
  17. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  18. */
  19. /*
  20. * This implements an LU factorization.
  21. * The task graph is submitted through dependency tags.
  22. * It also changes the partitioning during execution: when called first,
  23. * dw_factoLU_grain_inner splits the matrix with a big granularity (nblocks)
  24. * and processes nbigblocks blocks, before calling itself again, to process the
  25. * remainder of the matrix with a smaller granularity.
  26. */
  27. #include "dw_factolu.h"
  28. #define TAG11(k, prefix) ((starpu_tag_t)( (((unsigned long long)(prefix))<<60) | (1ULL<<56) | (unsigned long long)(k)))
  29. #define TAG12(k,i, prefix) ((starpu_tag_t)((((unsigned long long)(prefix))<<60) | ((2ULL<<56) | (((unsigned long long)(k))<<32) \
  30. | (unsigned long long)(i))))
  31. #define TAG21(k,j, prefix) ((starpu_tag_t)( (((unsigned long long)(prefix))<<60) | ((3ULL<<56) | (((unsigned long long)(k))<<32) \
  32. | (unsigned long long)(j))))
  33. #define TAG22(k,i,j, prefix) ((starpu_tag_t)( (((unsigned long long)(prefix))<<60) | ((4ULL<<56) | ((unsigned long long)(k)<<32) \
  34. | ((unsigned long long)(i)<<16) \
  35. | (unsigned long long)(j))))
  36. struct starpu_perfmodel model_11;
  37. struct starpu_perfmodel model_12;
  38. struct starpu_perfmodel model_21;
  39. struct starpu_perfmodel model_22;
  40. /*
  41. * Construct the DAG
  42. */
  43. static struct starpu_task *create_task(starpu_tag_t id)
  44. {
  45. struct starpu_task *task = starpu_task_create();
  46. task->cl_arg = NULL;
  47. task->use_tag = 1;
  48. task->tag_id = id;
  49. return task;
  50. }
  51. static struct starpu_codelet cl11 =
  52. {
  53. .modes = { STARPU_RW },
  54. .cpu_funcs = {dw_cpu_codelet_update_u11},
  55. .cpu_funcs_name = {"dw_cpu_codelet_update_u11"},
  56. #ifdef STARPU_USE_CUDA
  57. .cuda_funcs = {dw_cublas_codelet_update_u11},
  58. #endif
  59. .nbuffers = 1,
  60. .model = &model_11
  61. };
  62. static struct starpu_task *create_task_11(starpu_data_handle_t dataA, unsigned k, unsigned tag_prefix)
  63. {
  64. /* FPRINTF(stdout, "task 11 k = %d TAG = %llx\n", k, (TAG11(k))); */
  65. struct starpu_task *task = create_task(TAG11(k, tag_prefix));
  66. task->cl = &cl11;
  67. /* which sub-data is manipulated ? */
  68. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, k);
  69. /* this is an important task */
  70. task->priority = STARPU_MAX_PRIO;
  71. /* enforce dependencies ... */
  72. if (k > 0)
  73. {
  74. starpu_tag_declare_deps(TAG11(k, tag_prefix), 1, TAG22(k-1, k, k, tag_prefix));
  75. }
  76. return task;
  77. }
  78. static struct starpu_codelet cl12 =
  79. {
  80. .modes = { STARPU_R, STARPU_RW },
  81. .cpu_funcs = {dw_cpu_codelet_update_u12},
  82. .cpu_funcs_name = {"dw_cpu_codelet_update_u12"},
  83. #ifdef STARPU_USE_CUDA
  84. .cuda_funcs = {dw_cublas_codelet_update_u12},
  85. #endif
  86. .cuda_flags = {STARPU_CUDA_ASYNC},
  87. .nbuffers = 2,
  88. .model = &model_12
  89. };
  90. static void create_task_12(starpu_data_handle_t dataA, unsigned k, unsigned i, unsigned tag_prefix)
  91. {
  92. int ret;
  93. /* FPRINTF(stdout, "task 12 k,i = %d,%d TAG = %llx\n", k,i, TAG12(k,i)); */
  94. struct starpu_task *task = create_task(TAG12(k, i, tag_prefix));
  95. task->cl = &cl12;
  96. /* which sub-data is manipulated ? */
  97. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, k);
  98. task->handles[1] = starpu_data_get_sub_data(dataA, 2, i, k);
  99. if (i == k+1)
  100. {
  101. task->priority = STARPU_MAX_PRIO;
  102. }
  103. /* enforce dependencies ... */
  104. if (k > 0)
  105. {
  106. starpu_tag_declare_deps(TAG12(k, i, tag_prefix), 2, TAG11(k, tag_prefix), TAG22(k-1, i, k, tag_prefix));
  107. }
  108. else
  109. {
  110. starpu_tag_declare_deps(TAG12(k, i, tag_prefix), 1, TAG11(k, tag_prefix));
  111. }
  112. ret = starpu_task_submit(task);
  113. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  114. }
  115. static struct starpu_codelet cl21 =
  116. {
  117. .modes = { STARPU_R, STARPU_RW },
  118. .cpu_funcs = {dw_cpu_codelet_update_u21},
  119. .cpu_funcs_name = {"dw_cpu_codelet_update_u21"},
  120. #ifdef STARPU_USE_CUDA
  121. .cuda_funcs = {dw_cublas_codelet_update_u21},
  122. #endif
  123. .cuda_flags = {STARPU_CUDA_ASYNC},
  124. .nbuffers = 2,
  125. .model = &model_21
  126. };
  127. static void create_task_21(starpu_data_handle_t dataA, unsigned k, unsigned j, unsigned tag_prefix)
  128. {
  129. int ret;
  130. struct starpu_task *task = create_task(TAG21(k, j, tag_prefix));
  131. task->cl = &cl21;
  132. /* which sub-data is manipulated ? */
  133. task->handles[0] = starpu_data_get_sub_data(dataA, 2, k, k);
  134. task->handles[1] = starpu_data_get_sub_data(dataA, 2, k, j);
  135. if (j == k+1)
  136. {
  137. task->priority = STARPU_MAX_PRIO;
  138. }
  139. /* enforce dependencies ... */
  140. if (k > 0)
  141. {
  142. starpu_tag_declare_deps(TAG21(k, j, tag_prefix), 2, TAG11(k, tag_prefix), TAG22(k-1, k, j, tag_prefix));
  143. }
  144. else
  145. {
  146. starpu_tag_declare_deps(TAG21(k, j, tag_prefix), 1, TAG11(k, tag_prefix));
  147. }
  148. ret = starpu_task_submit(task);
  149. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  150. }
  151. static struct starpu_codelet cl22 =
  152. {
  153. .modes = { STARPU_R, STARPU_R, STARPU_RW },
  154. .cpu_funcs = {dw_cpu_codelet_update_u22},
  155. .cpu_funcs_name = {"dw_cpu_codelet_update_u22"},
  156. #ifdef STARPU_USE_CUDA
  157. .cuda_funcs = {dw_cublas_codelet_update_u22},
  158. #endif
  159. .cuda_flags = {STARPU_CUDA_ASYNC},
  160. .nbuffers = 3,
  161. .model = &model_22
  162. };
  163. static void create_task_22(starpu_data_handle_t dataA, unsigned k, unsigned i, unsigned j, unsigned tag_prefix)
  164. {
  165. int ret;
  166. /* FPRINTF(stdout, "task 22 k,i,j = %d,%d,%d TAG = %llx\n", k,i,j, TAG22(k,i,j)); */
  167. struct starpu_task *task = create_task(TAG22(k, i, j, tag_prefix));
  168. task->cl = &cl22;
  169. /* which sub-data is manipulated ? */
  170. task->handles[0] = starpu_data_get_sub_data(dataA, 2, i, k);
  171. task->handles[1] = starpu_data_get_sub_data(dataA, 2, k, j);
  172. task->handles[2] = starpu_data_get_sub_data(dataA, 2, i, j);
  173. if ( (i == k + 1) && (j == k +1) )
  174. {
  175. task->priority = STARPU_MAX_PRIO;
  176. }
  177. /* enforce dependencies ... */
  178. if (k > 0)
  179. {
  180. starpu_tag_declare_deps(TAG22(k, i, j, tag_prefix), 3, TAG22(k-1, i, j, tag_prefix), TAG12(k, i, tag_prefix), TAG21(k, j, tag_prefix));
  181. }
  182. else
  183. {
  184. starpu_tag_declare_deps(TAG22(k, i, j, tag_prefix), 2, TAG12(k, i, tag_prefix), TAG21(k, j, tag_prefix));
  185. }
  186. ret = starpu_task_submit(task);
  187. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  188. }
  189. static void dw_factoLU_grain_inner(float *matA, unsigned size, unsigned inner_size,
  190. unsigned ld, unsigned blocksize, unsigned tag_prefix)
  191. {
  192. int ret;
  193. /*
  194. * (re)partition data
  195. */
  196. starpu_data_handle_t dataA;
  197. starpu_matrix_data_register(&dataA, STARPU_MAIN_RAM, (uintptr_t)matA, ld, size, size, sizeof(float));
  198. STARPU_ASSERT((size % blocksize) == 0);
  199. STARPU_ASSERT((inner_size % blocksize) == 0);
  200. unsigned nblocks = size / blocksize;
  201. unsigned maxk = inner_size / blocksize;
  202. struct starpu_data_filter f =
  203. {
  204. .filter_func = starpu_matrix_filter_vertical_block,
  205. .nchildren = nblocks
  206. };
  207. struct starpu_data_filter f2 =
  208. {
  209. .filter_func = starpu_matrix_filter_block,
  210. .nchildren = nblocks
  211. };
  212. starpu_data_map_filters(dataA, 2, &f, &f2);
  213. /*
  214. * submit tasks
  215. */
  216. struct starpu_task *entry_task = NULL;
  217. /* create all the DAG nodes */
  218. unsigned i,j,k;
  219. /* if maxk < nblocks we'll stop before the LU decomposition is totally done */
  220. for (k = 0; k < maxk; k++)
  221. {
  222. struct starpu_task *task = create_task_11(dataA, k, tag_prefix);
  223. /* we defer the launch of the first task */
  224. if (k == 0)
  225. {
  226. entry_task = task;
  227. }
  228. else
  229. {
  230. ret = starpu_task_submit(task);
  231. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  232. }
  233. for (i = k+1; i<nblocks; i++)
  234. {
  235. create_task_12(dataA, k, i, tag_prefix);
  236. create_task_21(dataA, k, i, tag_prefix);
  237. }
  238. for (i = k+1; i<nblocks; i++)
  239. {
  240. for (j = k+1; j<nblocks; j++)
  241. {
  242. create_task_22(dataA, k, i, j, tag_prefix);
  243. }
  244. }
  245. }
  246. ret = starpu_task_submit(entry_task);
  247. if (STARPU_UNLIKELY(ret == -ENODEV))
  248. {
  249. FPRINTF(stderr, "No worker may execute this task\n");
  250. exit(-1);
  251. }
  252. /* is this the last call to dw_factoLU_grain_inner ? */
  253. if (inner_size == size)
  254. {
  255. /* we wait for the last task and we are done */
  256. starpu_tag_wait(TAG11(nblocks-1, tag_prefix));
  257. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  258. return;
  259. }
  260. else
  261. {
  262. /*
  263. * call dw_factoLU_grain_inner recursively in the remaining blocks
  264. */
  265. unsigned ndeps_tags = (nblocks - maxk)*(nblocks - maxk);
  266. starpu_tag_t *tag_array = calloc(ndeps_tags, sizeof(starpu_tag_t));
  267. STARPU_ASSERT(tag_array);
  268. unsigned ind = 0;
  269. for (i = maxk; i < nblocks; i++)
  270. for (j = maxk; j < nblocks; j++)
  271. {
  272. tag_array[ind++] = TAG22(maxk-1, i, j, tag_prefix);
  273. }
  274. starpu_tag_wait_array(ind, tag_array);
  275. free(tag_array);
  276. starpu_data_unpartition(dataA, STARPU_MAIN_RAM);
  277. starpu_data_unregister(dataA);
  278. float *newmatA = &matA[inner_size*(ld+1)];
  279. /* if (tag_prefix < 2)
  280. {
  281. dw_factoLU_grain_inner(newmatA, size-inner_size, (size-inner_size)/2, ld, blocksize/2, tag_prefix+1);
  282. }
  283. else
  284. { */
  285. dw_factoLU_grain_inner(newmatA, size-inner_size, size-inner_size, ld, blocksize/2, tag_prefix+1);
  286. /* } */
  287. }
  288. }
  289. void dw_factoLU_grain(float *matA, unsigned size, unsigned ld, unsigned nblocks, unsigned nbigblocks)
  290. {
  291. #ifdef CHECK_RESULTS
  292. FPRINTF(stderr, "Checking results ...\n");
  293. float *Asaved;
  294. Asaved = malloc(ld*ld*sizeof(float));
  295. memcpy(Asaved, matA, ld*ld*sizeof(float));
  296. #endif
  297. double start;
  298. double end;
  299. /* schedule the codelet */
  300. start = starpu_timing_now();
  301. /* that's only ok for powers of 2 yet ! */
  302. dw_factoLU_grain_inner(matA, size, (size/nblocks) * nbigblocks, ld, size/nblocks, 0);
  303. end = starpu_timing_now();
  304. double timing = end - start;
  305. unsigned n = size;
  306. double flop = (2.0f*n*n*n)/3.0f;
  307. PRINTF("# size\tms\tGFlops\n");
  308. PRINTF("%u\t%.0f\t%.1f\n", n, timing/1000, flop/timing/1000.0f);
  309. #ifdef CHECK_RESULTS
  310. compare_A_LU(Asaved, matA, size, ld);
  311. free(Asaved);
  312. #endif
  313. }