xgemm.c 11 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2016 Université de Bordeaux
  4. * Copyright (C) 2010 Mehdi Juhoor <mjuhoor@gmail.com>
  5. * Copyright (C) 2010, 2011, 2012, 2013 CNRS
  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. /*
  19. * Simple parallel GEMM implementation: partition the output matrix in the two
  20. * dimensions, and the input matrices in the corresponding dimension, and
  21. * perform the output computations in parallel.
  22. */
  23. #ifndef TYPE
  24. #error "Do not compile xgemm.c directly, compile sgemm.c or dgemm.c"
  25. #endif
  26. #include <limits.h>
  27. #include <string.h>
  28. #include <math.h>
  29. #include <sys/types.h>
  30. #include <starpu.h>
  31. #include <starpu_fxt.h>
  32. #include <common/blas.h>
  33. #ifdef STARPU_USE_CUDA
  34. #include <cuda.h>
  35. #include <cublas.h>
  36. #endif
  37. static unsigned niter = 10;
  38. static unsigned nslicesx = 4;
  39. static unsigned nslicesy = 4;
  40. #if defined(STARPU_QUICK_CHECK) && !defined(STARPU_SIMGRID)
  41. static unsigned xdim = 256;
  42. static unsigned ydim = 256;
  43. static unsigned zdim = 64;
  44. #else
  45. static unsigned xdim = 960*4;
  46. static unsigned ydim = 960*4;
  47. static unsigned zdim = 960*4;
  48. #endif
  49. static unsigned check = 0;
  50. static unsigned bound = 0;
  51. static TYPE *A, *B, *C;
  52. static starpu_data_handle_t A_handle, B_handle, C_handle;
  53. #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
  54. #define PRINTF(fmt, ...) do { if (!getenv("STARPU_SSILENT")) {printf(fmt, ## __VA_ARGS__); }} while(0)
  55. static void check_output(void)
  56. {
  57. /* compute C = C - AB */
  58. CPU_GEMM("N", "N", ydim, xdim, zdim, (TYPE)-1.0f, A, ydim, B, zdim, (TYPE)1.0f, C, ydim);
  59. /* make sure C = 0 */
  60. TYPE err;
  61. err = CPU_ASUM(xdim*ydim, C, 1);
  62. if (err < xdim*ydim*0.001)
  63. {
  64. FPRINTF(stderr, "Results are OK\n");
  65. }
  66. else
  67. {
  68. int max;
  69. max = CPU_IAMAX(xdim*ydim, C, 1);
  70. FPRINTF(stderr, "There were errors ... err = %f\n", err);
  71. FPRINTF(stderr, "Max error : %e\n", C[max]);
  72. }
  73. }
  74. static void init_problem_data(void)
  75. {
  76. unsigned i,j;
  77. starpu_malloc_flags((void **)&A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  78. starpu_malloc_flags((void **)&B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  79. starpu_malloc_flags((void **)&C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  80. #ifndef STARPU_SIMGRID
  81. /* fill the A and B matrices */
  82. for (j=0; j < ydim; j++)
  83. {
  84. for (i=0; i < zdim; i++)
  85. {
  86. A[j+i*ydim] = (TYPE)(starpu_drand48());
  87. }
  88. }
  89. for (j=0; j < zdim; j++)
  90. {
  91. for (i=0; i < xdim; i++)
  92. {
  93. B[j+i*zdim] = (TYPE)(starpu_drand48());
  94. }
  95. }
  96. for (j=0; j < ydim; j++)
  97. {
  98. for (i=0; i < xdim; i++)
  99. {
  100. C[j+i*ydim] = (TYPE)(0);
  101. }
  102. }
  103. #endif
  104. }
  105. static void partition_mult_data(void)
  106. {
  107. starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A,
  108. ydim, ydim, zdim, sizeof(TYPE));
  109. starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B,
  110. zdim, zdim, xdim, sizeof(TYPE));
  111. starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C,
  112. ydim, ydim, xdim, sizeof(TYPE));
  113. struct starpu_data_filter vert;
  114. memset(&vert, 0, sizeof(vert));
  115. vert.filter_func = starpu_matrix_filter_vertical_block;
  116. vert.nchildren = nslicesx;
  117. struct starpu_data_filter horiz;
  118. memset(&horiz, 0, sizeof(horiz));
  119. horiz.filter_func = starpu_matrix_filter_block;
  120. horiz.nchildren = nslicesy;
  121. starpu_data_partition(B_handle, &vert);
  122. starpu_data_partition(A_handle, &horiz);
  123. starpu_data_map_filters(C_handle, 2, &vert, &horiz);
  124. }
  125. #ifdef STARPU_USE_CUDA
  126. static void cublas_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
  127. {
  128. TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  129. TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  130. TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);
  131. unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]);
  132. unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]);
  133. unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]);
  134. unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]);
  135. unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]);
  136. unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]);
  137. CUBLAS_GEMM('n', 'n', nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB,
  138. (TYPE)0.0, subC, ldC);
  139. }
  140. #endif
  141. void cpu_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
  142. {
  143. TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  144. TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  145. TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);
  146. unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]);
  147. unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]);
  148. unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]);
  149. unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]);
  150. unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]);
  151. unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]);
  152. int worker_size = starpu_combined_worker_get_size();
  153. if (worker_size == 1)
  154. {
  155. /* Sequential CPU task */
  156. CPU_GEMM("N", "N", nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC);
  157. }
  158. else
  159. {
  160. /* Parallel CPU task */
  161. unsigned rank = starpu_combined_worker_get_rank();
  162. unsigned block_size = (nyC + worker_size - 1)/worker_size;
  163. unsigned new_nyC = STARPU_MIN(nyC, block_size*(rank+1)) - block_size*rank;
  164. STARPU_ASSERT(nyC == STARPU_MATRIX_GET_NY(descr[1]));
  165. TYPE *new_subB = &subB[block_size*rank];
  166. TYPE *new_subC = &subC[block_size*rank];
  167. CPU_GEMM("N", "N", nxC, new_nyC, nyA, (TYPE)1.0, subA, ldA, new_subB, ldB, (TYPE)0.0, new_subC, ldC);
  168. }
  169. }
  170. static struct starpu_perfmodel starpu_gemm_model =
  171. {
  172. .type = STARPU_HISTORY_BASED,
  173. .symbol = STARPU_GEMM_STR(gemm)
  174. };
  175. static struct starpu_codelet cl =
  176. {
  177. .type = STARPU_SEQ, /* changed to STARPU_SPMD if -spmd is passed */
  178. .max_parallelism = INT_MAX,
  179. .cpu_funcs = {cpu_mult},
  180. .cpu_funcs_name = {"cpu_mult"},
  181. #ifdef STARPU_USE_CUDA
  182. .cuda_funcs = {cublas_mult},
  183. #elif defined(STARPU_SIMGRID)
  184. .cuda_funcs = {(void*)1},
  185. #endif
  186. .cuda_flags = {STARPU_CUDA_ASYNC},
  187. .nbuffers = 3,
  188. .modes = {STARPU_R, STARPU_R, STARPU_RW},
  189. .model = &starpu_gemm_model
  190. };
  191. static void parse_args(int argc, char **argv)
  192. {
  193. int i;
  194. for (i = 1; i < argc; i++)
  195. {
  196. if (strcmp(argv[i], "-nblocks") == 0)
  197. {
  198. char *argptr;
  199. nslicesx = strtol(argv[++i], &argptr, 10);
  200. nslicesy = nslicesx;
  201. }
  202. else if (strcmp(argv[i], "-nblocksx") == 0)
  203. {
  204. char *argptr;
  205. nslicesx = strtol(argv[++i], &argptr, 10);
  206. }
  207. else if (strcmp(argv[i], "-nblocksy") == 0)
  208. {
  209. char *argptr;
  210. nslicesy = strtol(argv[++i], &argptr, 10);
  211. }
  212. else if (strcmp(argv[i], "-x") == 0)
  213. {
  214. char *argptr;
  215. xdim = strtol(argv[++i], &argptr, 10);
  216. }
  217. else if (strcmp(argv[i], "-y") == 0)
  218. {
  219. char *argptr;
  220. ydim = strtol(argv[++i], &argptr, 10);
  221. }
  222. else if (strcmp(argv[i], "-z") == 0)
  223. {
  224. char *argptr;
  225. zdim = strtol(argv[++i], &argptr, 10);
  226. }
  227. else if (strcmp(argv[i], "-size") == 0)
  228. {
  229. char *argptr;
  230. xdim = ydim = zdim = strtol(argv[++i], &argptr, 10);
  231. }
  232. else if (strcmp(argv[i], "-iter") == 0)
  233. {
  234. char *argptr;
  235. niter = strtol(argv[++i], &argptr, 10);
  236. }
  237. else if (strcmp(argv[i], "-bound") == 0)
  238. {
  239. bound = 1;
  240. }
  241. else if (strcmp(argv[i], "-check") == 0)
  242. {
  243. check = 1;
  244. }
  245. else if (strcmp(argv[i], "-spmd") == 0)
  246. {
  247. cl.type = STARPU_SPMD;
  248. }
  249. else if (strcmp(argv[i], "-help") == 0 || strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0)
  250. {
  251. fprintf(stderr,"Usage: %s [-nblocks n] [-nblocksx x] [-nblocksy y] [-x x] [-y y] [-z z] [-size size] [-iter iter] [-bound] [-check] [-spmd]\n", argv[0]);
  252. fprintf(stderr,"Currently selected: %ux%u * %ux%u and %ux%u blocks, %u iterations\n", zdim, ydim, xdim, zdim, nslicesx, nslicesy, niter);
  253. exit(EXIT_SUCCESS);
  254. }
  255. else
  256. {
  257. fprintf(stderr,"Unrecognized option %s", argv[i]);
  258. exit(EXIT_FAILURE);
  259. }
  260. }
  261. }
  262. int main(int argc, char **argv)
  263. {
  264. double start, end;
  265. int ret;
  266. parse_args(argc, argv);
  267. #ifdef STARPU_QUICK_CHECK
  268. niter /= 10;
  269. #endif
  270. starpu_fxt_autostart_profiling(0);
  271. ret = starpu_init(NULL);
  272. if (ret == -ENODEV)
  273. return 77;
  274. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  275. starpu_cublas_init();
  276. init_problem_data();
  277. partition_mult_data();
  278. if (bound)
  279. starpu_bound_start(0, 0);
  280. starpu_fxt_start_profiling();
  281. start = starpu_timing_now();
  282. unsigned x, y, iter;
  283. for (iter = 0; iter < niter; iter++)
  284. {
  285. for (x = 0; x < nslicesx; x++)
  286. for (y = 0; y < nslicesy; y++)
  287. {
  288. struct starpu_task *task = starpu_task_create();
  289. task->cl = &cl;
  290. task->handles[0] = starpu_data_get_sub_data(A_handle, 1, y);
  291. task->handles[1] = starpu_data_get_sub_data(B_handle, 1, x);
  292. task->handles[2] = starpu_data_get_sub_data(C_handle, 2, x, y);
  293. task->flops = 2ULL * (xdim/nslicesx) * (ydim/nslicesy) * zdim;
  294. ret = starpu_task_submit(task);
  295. if (ret == -ENODEV)
  296. {
  297. ret = 77;
  298. goto enodev;
  299. }
  300. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  301. starpu_data_wont_use(starpu_data_get_sub_data(C_handle, 2, x, y));
  302. }
  303. starpu_task_wait_for_all();
  304. }
  305. end = starpu_timing_now();
  306. starpu_fxt_stop_profiling();
  307. if (bound)
  308. starpu_bound_stop();
  309. double timing = end - start;
  310. double min, min_int;
  311. double flops = 2.0*((unsigned long long)niter)*((unsigned long long)xdim)
  312. *((unsigned long long)ydim)*((unsigned long long)zdim);
  313. if (bound)
  314. starpu_bound_compute(&min, &min_int, 1);
  315. PRINTF("# x\ty\tz\tms\tGFlops");
  316. if (bound)
  317. PRINTF("\tTms\tTGFlops\tTims\tTiGFlops");
  318. PRINTF("\n");
  319. PRINTF("%u\t%u\t%u\t%.0f\t%.1f", xdim, ydim, zdim, timing/niter/1000.0, flops/timing/1000.0);
  320. if (bound)
  321. PRINTF("\t%.0f\t%.1f\t%.0f\t%.1f", min, flops/min/1000000.0, min_int, flops/min_int/1000000.0);
  322. PRINTF("\n");
  323. enodev:
  324. starpu_data_unpartition(C_handle, STARPU_MAIN_RAM);
  325. starpu_data_unpartition(B_handle, STARPU_MAIN_RAM);
  326. starpu_data_unpartition(A_handle, STARPU_MAIN_RAM);
  327. starpu_data_unregister(A_handle);
  328. starpu_data_unregister(B_handle);
  329. starpu_data_unregister(C_handle);
  330. if (check)
  331. check_output();
  332. starpu_free_flags(A, zdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  333. starpu_free_flags(B, xdim*zdim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  334. starpu_free_flags(C, xdim*ydim*sizeof(TYPE), STARPU_MALLOC_PINNED|STARPU_MALLOC_SIMULATION_FOLDED);
  335. starpu_cublas_shutdown();
  336. starpu_shutdown();
  337. return ret;
  338. }