xgemm.c 8.6 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2014 Université de Bordeaux
  4. * Copyright (C) 2010 Mehdi Juhoor <mjuhoor@gmail.com>
  5. * Copyright (C) 2010, 2011, 2012, 2013 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. #ifndef TYPE
  19. #error "Do not compile xgemm.c directly, compile sgemm.c or dgemm.c"
  20. #endif
  21. #include <limits.h>
  22. #include <string.h>
  23. #include <math.h>
  24. #include <sys/types.h>
  25. #include <starpu.h>
  26. #include <common/blas.h>
  27. #ifdef STARPU_USE_CUDA
  28. #include <cuda.h>
  29. #include <cublas.h>
  30. #endif
  31. static unsigned niter = 10;
  32. static unsigned nslicesx = 4;
  33. static unsigned nslicesy = 4;
  34. #ifdef STARPU_QUICK_CHECK
  35. static unsigned xdim = 256;
  36. static unsigned ydim = 256;
  37. static unsigned zdim = 64;
  38. #else
  39. static unsigned xdim = 1024;
  40. static unsigned ydim = 1024;
  41. static unsigned zdim = 1024;
  42. #endif
  43. static unsigned check = 0;
  44. static TYPE *A, *B, *C;
  45. static starpu_data_handle_t A_handle, B_handle, C_handle;
  46. #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
  47. static void check_output(void)
  48. {
  49. /* compute C = C - AB */
  50. CPU_GEMM("N", "N", ydim, xdim, zdim, (TYPE)-1.0f, A, ydim, B, zdim, (TYPE)1.0f, C, ydim);
  51. /* make sure C = 0 */
  52. TYPE err;
  53. err = CPU_ASUM(xdim*ydim, C, 1);
  54. if (err < xdim*ydim*0.001)
  55. {
  56. FPRINTF(stderr, "Results are OK\n");
  57. }
  58. else
  59. {
  60. int max;
  61. max = CPU_IAMAX(xdim*ydim, C, 1);
  62. FPRINTF(stderr, "There were errors ... err = %f\n", err);
  63. FPRINTF(stderr, "Max error : %e\n", C[max]);
  64. }
  65. }
  66. static void init_problem_data(void)
  67. {
  68. unsigned i,j;
  69. #ifndef STARPU_SIMGRID
  70. starpu_malloc((void **)&A, zdim*ydim*sizeof(TYPE));
  71. starpu_malloc((void **)&B, xdim*zdim*sizeof(TYPE));
  72. starpu_malloc((void **)&C, xdim*ydim*sizeof(TYPE));
  73. /* fill the A and B matrices */
  74. for (j=0; j < ydim; j++)
  75. {
  76. for (i=0; i < zdim; i++)
  77. {
  78. A[j+i*ydim] = (TYPE)(starpu_drand48());
  79. }
  80. }
  81. for (j=0; j < zdim; j++)
  82. {
  83. for (i=0; i < xdim; i++)
  84. {
  85. B[j+i*zdim] = (TYPE)(starpu_drand48());
  86. }
  87. }
  88. for (j=0; j < ydim; j++)
  89. {
  90. for (i=0; i < xdim; i++)
  91. {
  92. C[j+i*ydim] = (TYPE)(0);
  93. }
  94. }
  95. #endif
  96. }
  97. static void partition_mult_data(void)
  98. {
  99. starpu_matrix_data_register(&A_handle, STARPU_MAIN_RAM, (uintptr_t)A,
  100. ydim, ydim, zdim, sizeof(TYPE));
  101. starpu_matrix_data_register(&B_handle, STARPU_MAIN_RAM, (uintptr_t)B,
  102. zdim, zdim, xdim, sizeof(TYPE));
  103. starpu_matrix_data_register(&C_handle, STARPU_MAIN_RAM, (uintptr_t)C,
  104. ydim, ydim, xdim, sizeof(TYPE));
  105. struct starpu_data_filter vert;
  106. memset(&vert, 0, sizeof(vert));
  107. vert.filter_func = starpu_matrix_filter_vertical_block;
  108. vert.nchildren = nslicesx;
  109. struct starpu_data_filter horiz;
  110. memset(&horiz, 0, sizeof(horiz));
  111. horiz.filter_func = starpu_matrix_filter_block;
  112. horiz.nchildren = nslicesy;
  113. starpu_data_partition(B_handle, &vert);
  114. starpu_data_partition(A_handle, &horiz);
  115. starpu_data_map_filters(C_handle, 2, &vert, &horiz);
  116. }
  117. static void mult_kernel_common(void *descr[], int type)
  118. {
  119. TYPE *subA = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  120. TYPE *subB = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  121. TYPE *subC = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);
  122. unsigned nxC = STARPU_MATRIX_GET_NX(descr[2]);
  123. unsigned nyC = STARPU_MATRIX_GET_NY(descr[2]);
  124. unsigned nyA = STARPU_MATRIX_GET_NY(descr[0]);
  125. unsigned ldA = STARPU_MATRIX_GET_LD(descr[0]);
  126. unsigned ldB = STARPU_MATRIX_GET_LD(descr[1]);
  127. unsigned ldC = STARPU_MATRIX_GET_LD(descr[2]);
  128. if (type == STARPU_CPU)
  129. {
  130. int worker_size = starpu_combined_worker_get_size();
  131. if (worker_size == 1)
  132. {
  133. /* Sequential CPU task */
  134. CPU_GEMM("N", "N", nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB, (TYPE)0.0, subC, ldC);
  135. }
  136. else
  137. {
  138. /* Parallel CPU task */
  139. int rank = starpu_combined_worker_get_rank();
  140. int block_size = (nyC + worker_size - 1)/worker_size;
  141. int new_nyC = STARPU_MIN(nyC, block_size*(rank+1)) - block_size*rank;
  142. STARPU_ASSERT(nyC = STARPU_MATRIX_GET_NY(descr[1]));
  143. TYPE *new_subB = &subB[block_size*rank];
  144. TYPE *new_subC = &subC[block_size*rank];
  145. CPU_GEMM("N", "N", nxC, new_nyC, nyA, (TYPE)1.0, subA, ldA, new_subB, ldB, (TYPE)0.0, new_subC, ldC);
  146. }
  147. }
  148. #ifdef STARPU_USE_CUDA
  149. else
  150. {
  151. CUBLAS_GEMM('n', 'n', nxC, nyC, nyA, (TYPE)1.0, subA, ldA, subB, ldB,
  152. (TYPE)0.0, subC, ldC);
  153. }
  154. #endif
  155. }
  156. #ifdef STARPU_USE_CUDA
  157. static void cublas_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
  158. {
  159. mult_kernel_common(descr, STARPU_CUDA);
  160. }
  161. #endif
  162. static void cpu_mult(void *descr[], STARPU_ATTRIBUTE_UNUSED void *arg)
  163. {
  164. mult_kernel_common(descr, STARPU_CPU);
  165. }
  166. static struct starpu_perfmodel starpu_gemm_model =
  167. {
  168. .type = STARPU_HISTORY_BASED,
  169. .symbol = STARPU_GEMM_STR(gemm)
  170. };
  171. static struct starpu_codelet cl =
  172. {
  173. .type = STARPU_SEQ, /* changed to STARPU_SPMD if -spmd is passed */
  174. .max_parallelism = INT_MAX,
  175. .cpu_funcs = {cpu_mult, NULL},
  176. #ifdef STARPU_USE_CUDA
  177. .cuda_funcs = {cublas_mult, NULL},
  178. .cuda_flags = {STARPU_CUDA_ASYNC},
  179. #endif
  180. .nbuffers = 3,
  181. .modes = {STARPU_R, STARPU_R, STARPU_RW},
  182. .model = &starpu_gemm_model
  183. };
  184. static void parse_args(int argc, char **argv)
  185. {
  186. int i;
  187. for (i = 1; i < argc; i++)
  188. {
  189. if (strcmp(argv[i], "-nblocks") == 0)
  190. {
  191. char *argptr;
  192. nslicesx = strtol(argv[++i], &argptr, 10);
  193. nslicesy = nslicesx;
  194. }
  195. else if (strcmp(argv[i], "-nblocksx") == 0)
  196. {
  197. char *argptr;
  198. nslicesx = strtol(argv[++i], &argptr, 10);
  199. }
  200. else if (strcmp(argv[i], "-nblocksy") == 0)
  201. {
  202. char *argptr;
  203. nslicesy = strtol(argv[++i], &argptr, 10);
  204. }
  205. else if (strcmp(argv[i], "-x") == 0)
  206. {
  207. char *argptr;
  208. xdim = strtol(argv[++i], &argptr, 10);
  209. }
  210. else if (strcmp(argv[i], "-y") == 0)
  211. {
  212. char *argptr;
  213. ydim = strtol(argv[++i], &argptr, 10);
  214. }
  215. else if (strcmp(argv[i], "-z") == 0)
  216. {
  217. char *argptr;
  218. zdim = strtol(argv[++i], &argptr, 10);
  219. }
  220. else if (strcmp(argv[i], "-iter") == 0)
  221. {
  222. char *argptr;
  223. niter = strtol(argv[++i], &argptr, 10);
  224. }
  225. else if (strcmp(argv[i], "-check") == 0)
  226. {
  227. check = 1;
  228. }
  229. else if (strcmp(argv[i], "-spmd") == 0)
  230. {
  231. cl.type = STARPU_SPMD;
  232. }
  233. else if (strcmp(argv[i], "-help") == 0 || strcmp(argv[i], "--help") == 0 || strcmp(argv[i], "-h") == 0)
  234. {
  235. fprintf(stderr,"Usage: %s [-nblocks n] [-nblocksx x] [-nblocksy y] [-x x] [-y y] [-z z] [-iter iter] [-check] [-spmd]\n", argv[0]);
  236. fprintf(stderr,"Currently selected: %ux%u * %ux%u and %ux%u blocks, %u iterations\n", zdim, ydim, xdim, zdim, nslicesx, nslicesy, niter);
  237. exit(EXIT_SUCCESS);
  238. }
  239. else
  240. {
  241. fprintf(stderr,"Unrecognized option %s", argv[i]);
  242. exit(EXIT_FAILURE);
  243. }
  244. }
  245. }
  246. int main(int argc, char **argv)
  247. {
  248. double start, end;
  249. int ret;
  250. parse_args(argc, argv);
  251. #ifdef STARPU_QUICK_CHECK
  252. niter /= 10;
  253. #endif
  254. ret = starpu_init(NULL);
  255. if (ret == -ENODEV)
  256. return 77;
  257. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  258. starpu_cublas_init();
  259. init_problem_data();
  260. partition_mult_data();
  261. start = starpu_timing_now();
  262. unsigned x, y, iter;
  263. for (iter = 0; iter < niter; iter++)
  264. {
  265. for (x = 0; x < nslicesx; x++)
  266. for (y = 0; y < nslicesy; y++)
  267. {
  268. struct starpu_task *task = starpu_task_create();
  269. task->cl = &cl;
  270. task->handles[0] = starpu_data_get_sub_data(A_handle, 1, y);
  271. task->handles[1] = starpu_data_get_sub_data(B_handle, 1, x);
  272. task->handles[2] = starpu_data_get_sub_data(C_handle, 2, x, y);
  273. ret = starpu_task_submit(task);
  274. if (ret == -ENODEV)
  275. {
  276. ret = 77;
  277. goto enodev;
  278. }
  279. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  280. }
  281. starpu_task_wait_for_all();
  282. }
  283. end = starpu_timing_now();
  284. double timing = end - start;
  285. FPRINTF(stderr, "Time: %2.2f ms\n", timing/1000.0);
  286. double flops = 2.0*((unsigned long)niter)*((unsigned long)xdim)
  287. *((unsigned long)ydim)*((unsigned long)zdim);
  288. FPRINTF(stderr, "GFlop/s: %.2f\n", flops/timing/1000.0);
  289. enodev:
  290. starpu_data_unpartition(C_handle, STARPU_MAIN_RAM);
  291. starpu_data_unpartition(B_handle, STARPU_MAIN_RAM);
  292. starpu_data_unpartition(A_handle, STARPU_MAIN_RAM);
  293. starpu_data_unregister(A_handle);
  294. starpu_data_unregister(B_handle);
  295. starpu_data_unregister(C_handle);
  296. if (check)
  297. check_output();
  298. starpu_free(A);
  299. starpu_free(B);
  300. starpu_free(C);
  301. starpu_cublas_shutdown();
  302. starpu_shutdown();
  303. return ret;
  304. }