xlu_implicit_pivot.c 8.5 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2010 Université de Bordeaux 1
  4. * Copyright (C) 2010 Mehdi Juhoor <mjuhoor@gmail.com>
  5. * Copyright (C) 2010 Centre National de la Recherche Scientifique
  6. *
  7. * StarPU is free software; you can redistribute it and/or modify
  8. * it under the terms of the GNU Lesser General Public License as published by
  9. * the Free Software Foundation; either version 2.1 of the License, or (at
  10. * your option) any later version.
  11. *
  12. * StarPU is distributed in the hope that it will be useful, but
  13. * WITHOUT ANY WARRANTY; without even the implied warranty of
  14. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  15. *
  16. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  17. */
  18. #include "xlu.h"
  19. #include "xlu_kernels.h"
  20. static unsigned no_prio = 0;
  21. /*
  22. * Construct the DAG
  23. */
  24. static void create_task_pivot(starpu_data_handle *dataAp, unsigned nblocks,
  25. struct piv_s *piv_description,
  26. unsigned k, unsigned i,
  27. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  28. {
  29. struct starpu_task *task = starpu_task_create();
  30. task->cl = &cl_pivot;
  31. /* which sub-data is manipulated ? */
  32. task->buffers[0].handle = get_block(dataAp, nblocks, k, i);
  33. task->buffers[0].mode = STARPU_RW;
  34. task->cl_arg = &piv_description[k];
  35. /* this is an important task */
  36. if (!no_prio && (i == k+1))
  37. task->priority = STARPU_MAX_PRIO;
  38. starpu_task_submit_to_ctx(task, sched_ctx);
  39. }
  40. static void create_task_11_pivot(starpu_data_handle *dataAp, unsigned nblocks,
  41. unsigned k, struct piv_s *piv_description,
  42. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  43. {
  44. struct starpu_task *task = starpu_task_create();
  45. task->cl = &cl11_pivot;
  46. task->cl_arg = &piv_description[k];
  47. /* which sub-data is manipulated ? */
  48. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  49. task->buffers[0].mode = STARPU_RW;
  50. /* this is an important task */
  51. if (!no_prio)
  52. task->priority = STARPU_MAX_PRIO;
  53. starpu_task_submit_to_ctx(task, sched_ctx);
  54. }
  55. static void create_task_12(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned j,
  56. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  57. {
  58. struct starpu_task *task = starpu_task_create();
  59. task->cl = &cl12;
  60. /* which sub-data is manipulated ? */
  61. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  62. task->buffers[0].mode = STARPU_R;
  63. task->buffers[1].handle = get_block(dataAp, nblocks, j, k);
  64. task->buffers[1].mode = STARPU_RW;
  65. if (!no_prio && (j == k+1))
  66. task->priority = STARPU_MAX_PRIO;
  67. starpu_task_submit_to_ctx(task, sched_ctx);
  68. }
  69. static void create_task_21(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned i,
  70. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  71. {
  72. struct starpu_task *task = starpu_task_create();
  73. task->cl = &cl21;
  74. /* which sub-data is manipulated ? */
  75. task->buffers[0].handle = get_block(dataAp, nblocks, k, k);
  76. task->buffers[0].mode = STARPU_R;
  77. task->buffers[1].handle = get_block(dataAp, nblocks, k, i);
  78. task->buffers[1].mode = STARPU_RW;
  79. if (!no_prio && (i == k+1))
  80. task->priority = STARPU_MAX_PRIO;
  81. starpu_task_submit_to_ctx(task, sched_ctx);
  82. }
  83. static void create_task_22(starpu_data_handle *dataAp, unsigned nblocks, unsigned k, unsigned i, unsigned j,
  84. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  85. {
  86. struct starpu_task *task = starpu_task_create();
  87. task->cl = &cl22;
  88. /* which sub-data is manipulated ? */
  89. task->buffers[0].handle = get_block(dataAp, nblocks, k, i);
  90. task->buffers[0].mode = STARPU_R;
  91. task->buffers[1].handle = get_block(dataAp, nblocks, j, k);
  92. task->buffers[1].mode = STARPU_R;
  93. task->buffers[2].handle = get_block(dataAp, nblocks, j, i);
  94. task->buffers[2].mode = STARPU_RW;
  95. if (!no_prio && (i == k + 1) && (j == k +1) )
  96. task->priority = STARPU_MAX_PRIO;
  97. starpu_task_submit_to_ctx(task, sched_ctx);
  98. }
  99. /*
  100. * code to bootstrap the factorization
  101. */
  102. static double dw_codelet_facto_pivot(starpu_data_handle *dataAp,
  103. struct piv_s *piv_description,
  104. unsigned nblocks,
  105. starpu_data_handle (* get_block)(starpu_data_handle *, unsigned, unsigned, unsigned), struct starpu_sched_ctx *sched_ctx)
  106. {
  107. struct timeval start;
  108. struct timeval end;
  109. gettimeofday(&start, NULL);
  110. /* create all the DAG nodes */
  111. unsigned i,j,k;
  112. for (k = 0; k < nblocks; k++)
  113. {
  114. create_task_11_pivot(dataAp, nblocks, k, piv_description, get_block, sched_ctx);
  115. for (i = 0; i < nblocks; i++)
  116. {
  117. if (i != k)
  118. create_task_pivot(dataAp, nblocks, piv_description, k, i, get_block, sched_ctx);
  119. }
  120. for (i = k+1; i<nblocks; i++)
  121. {
  122. create_task_12(dataAp, nblocks, k, i, get_block, sched_ctx);
  123. create_task_21(dataAp, nblocks, k, i, get_block, sched_ctx);
  124. }
  125. for (i = k+1; i<nblocks; i++)
  126. for (j = k+1; j<nblocks; j++)
  127. create_task_22(dataAp, nblocks, k, i, j, get_block, sched_ctx);
  128. }
  129. /* stall the application until the end of computations */
  130. // starpu_task_wait_for_all();
  131. starpu_wait_for_all_tasks_of_sched_ctx(sched_ctx);
  132. gettimeofday(&end, NULL);
  133. double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
  134. return timing;
  135. }
  136. starpu_data_handle get_block_with_striding(starpu_data_handle *dataAp,
  137. unsigned nblocks __attribute__((unused)), unsigned j, unsigned i)
  138. {
  139. /* we use filters */
  140. return starpu_data_get_sub_data(*dataAp, 2, j, i);
  141. }
  142. double STARPU_LU(lu_decomposition_pivot)(TYPE *matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks, struct starpu_sched_ctx *sched_ctx)
  143. {
  144. starpu_data_handle dataA;
  145. /* monitor and partition the A matrix into blocks :
  146. * one block is now determined by 2 unsigned (i,j) */
  147. starpu_matrix_data_register(&dataA, 0, (uintptr_t)matA, ld, size, size, sizeof(TYPE));
  148. struct starpu_data_filter f;
  149. f.filter_func = starpu_vertical_block_filter_func;
  150. f.nchildren = nblocks;
  151. f.get_nchildren = NULL;
  152. f.get_child_ops = NULL;
  153. struct starpu_data_filter f2;
  154. f2.filter_func = starpu_block_filter_func;
  155. f2.nchildren = nblocks;
  156. f2.get_nchildren = NULL;
  157. f2.get_child_ops = NULL;
  158. starpu_data_map_filters(dataA, 2, &f, &f2);
  159. unsigned i;
  160. for (i = 0; i < size; i++)
  161. ipiv[i] = i;
  162. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  163. unsigned block;
  164. for (block = 0; block < nblocks; block++)
  165. {
  166. piv_description[block].piv = ipiv;
  167. piv_description[block].first = block * (size / nblocks);
  168. piv_description[block].last = (block + 1) * (size / nblocks);
  169. }
  170. double timing;
  171. timing = dw_codelet_facto_pivot(&dataA, piv_description, nblocks, get_block_with_striding, sched_ctx);
  172. unsigned n = starpu_matrix_get_nx(dataA);
  173. double flop = (2.0f*n*n*n)/3.0f;
  174. double gflops = flop/timing/1000.0f;
  175. /* gather all the data */
  176. starpu_data_unpartition(dataA, 0);
  177. starpu_data_unregister(dataA);
  178. return gflops;
  179. }
  180. starpu_data_handle get_block_with_no_striding(starpu_data_handle *dataAp, unsigned nblocks, unsigned j, unsigned i)
  181. {
  182. /* dataAp is an array of data handle */
  183. return dataAp[i+j*nblocks];
  184. }
  185. double STARPU_LU(lu_decomposition_pivot_no_stride)(TYPE **matA, unsigned *ipiv, unsigned size, unsigned ld, unsigned nblocks, struct starpu_sched_ctx *sched_ctx)
  186. {
  187. starpu_data_handle *dataAp = malloc(nblocks*nblocks*sizeof(starpu_data_handle));
  188. /* monitor and partition the A matrix into blocks :
  189. * one block is now determined by 2 unsigned (i,j) */
  190. unsigned bi, bj;
  191. for (bj = 0; bj < nblocks; bj++)
  192. for (bi = 0; bi < nblocks; bi++)
  193. {
  194. starpu_matrix_data_register(&dataAp[bi+nblocks*bj], 0,
  195. (uintptr_t)matA[bi+nblocks*bj], size/nblocks,
  196. size/nblocks, size/nblocks, sizeof(TYPE));
  197. }
  198. unsigned i;
  199. for (i = 0; i < size; i++)
  200. ipiv[i] = i;
  201. struct piv_s *piv_description = malloc(nblocks*sizeof(struct piv_s));
  202. unsigned block;
  203. for (block = 0; block < nblocks; block++)
  204. {
  205. piv_description[block].piv = ipiv;
  206. piv_description[block].first = block * (size / nblocks);
  207. piv_description[block].last = (block + 1) * (size / nblocks);
  208. }
  209. double timing;
  210. timing = dw_codelet_facto_pivot(dataAp, piv_description, nblocks, get_block_with_no_striding, sched_ctx);
  211. unsigned n = starpu_matrix_get_nx(dataAp[0])*nblocks;
  212. double flop = (2.0f*n*n*n)/3.0f;
  213. double gflops = flop/timing/1000.0f;
  214. for (bj = 0; bj < nblocks; bj++)
  215. for (bi = 0; bi < nblocks; bi++)
  216. {
  217. starpu_data_unregister(dataAp[bi+nblocks*bj]);
  218. }
  219. return gflops;
  220. }