cholesky_kernels.c 10 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2008-2020 Université de Bordeaux, CNRS (LaBRI UMR 5800), Inria
  4. *
  5. * StarPU is free software; you can redistribute it and/or modify
  6. * it under the terms of the GNU Lesser General Public License as published by
  7. * the Free Software Foundation; either version 2.1 of the License, or (at
  8. * your option) any later version.
  9. *
  10. * StarPU is distributed in the hope that it will be useful, but
  11. * WITHOUT ANY WARRANTY; without even the implied warranty of
  12. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  13. *
  14. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  15. */
  16. /*
  17. * Standard kernels for the Cholesky factorization
  18. * U22 is the gemm update
  19. * U21 is the trsm update
  20. * U11 is the cholesky factorization
  21. */
  22. #include <starpu.h>
  23. #include "cholesky.h"
  24. #include "../common/blas.h"
  25. #if defined(STARPU_USE_CUDA)
  26. #include <cublas.h>
  27. #include <starpu_cublas_v2.h>
  28. #if defined(STARPU_HAVE_MAGMA)
  29. #include "magma.h"
  30. #include "magma_lapack.h"
  31. #endif
  32. #endif
  33. /*
  34. * U22
  35. */
  36. #if defined(STARPU_USE_CUDA)
  37. static const float p1 = 1.0;
  38. static const float m1 = -1.0;
  39. #endif
  40. static inline void chol_common_cpu_codelet_update_u22(void *descr[], int s, void *_args)
  41. {
  42. (void)_args;
  43. /* printf("22\n"); */
  44. float *left = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  45. float *right = (float *)STARPU_MATRIX_GET_PTR(descr[1]);
  46. float *center = (float *)STARPU_MATRIX_GET_PTR(descr[2]);
  47. unsigned dx = STARPU_MATRIX_GET_NY(descr[2]);
  48. unsigned dy = STARPU_MATRIX_GET_NX(descr[2]);
  49. unsigned dz = STARPU_MATRIX_GET_NY(descr[0]);
  50. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[0]);
  51. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[1]);
  52. unsigned ld22 = STARPU_MATRIX_GET_LD(descr[2]);
  53. if (s == 0)
  54. {
  55. int worker_size = starpu_combined_worker_get_size();
  56. if (worker_size == 1)
  57. {
  58. /* Sequential CPU kernel */
  59. STARPU_SGEMM("N", "T", dy, dx, dz, -1.0f, left, ld21,
  60. right, ld12, 1.0f, center, ld22);
  61. }
  62. else
  63. {
  64. /* Parallel CPU kernel */
  65. unsigned rank = starpu_combined_worker_get_rank();
  66. unsigned block_size = (dx + worker_size - 1)/worker_size;
  67. unsigned new_dx = STARPU_MIN(dx, block_size*(rank+1)) - block_size*rank;
  68. float *new_left = &left[block_size*rank];
  69. float *new_center = &center[block_size*rank];
  70. STARPU_SGEMM("N", "T", dy, new_dx, dz, -1.0f, new_left, ld21,
  71. right, ld12, 1.0f, new_center, ld22);
  72. }
  73. }
  74. else
  75. {
  76. /* CUDA kernel */
  77. #ifdef STARPU_USE_CUDA
  78. cublasStatus_t status = cublasSgemm(starpu_cublas_get_local_handle(),
  79. CUBLAS_OP_N, CUBLAS_OP_T, dy, dx, dz,
  80. &m1, left, ld21, right, ld12,
  81. &p1, center, ld22);
  82. if (status != CUBLAS_STATUS_SUCCESS)
  83. STARPU_CUBLAS_REPORT_ERROR(status);
  84. #endif
  85. }
  86. }
  87. void chol_cpu_codelet_update_u22(void *descr[], void *_args)
  88. {
  89. chol_common_cpu_codelet_update_u22(descr, 0, _args);
  90. }
  91. #ifdef STARPU_USE_CUDA
  92. void chol_cublas_codelet_update_u22(void *descr[], void *_args)
  93. {
  94. chol_common_cpu_codelet_update_u22(descr, 1, _args);
  95. }
  96. #endif /* STARPU_USE_CUDA */
  97. /*
  98. * U21
  99. */
  100. static inline void chol_common_codelet_update_u21(void *descr[], int s, void *_args)
  101. {
  102. /* printf("21\n"); */
  103. float *sub11;
  104. float *sub21;
  105. (void)_args;
  106. sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  107. sub21 = (float *)STARPU_MATRIX_GET_PTR(descr[1]);
  108. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  109. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  110. unsigned nx21 = STARPU_MATRIX_GET_NY(descr[1]);
  111. unsigned ny21 = STARPU_MATRIX_GET_NX(descr[1]);
  112. #ifdef STARPU_USE_CUDA
  113. cublasStatus status;
  114. #endif
  115. switch (s)
  116. {
  117. case 0:
  118. STARPU_STRSM("R", "L", "T", "N", nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
  119. break;
  120. #ifdef STARPU_USE_CUDA
  121. case 1:
  122. status = cublasStrsm(starpu_cublas_get_local_handle(),
  123. CUBLAS_SIDE_RIGHT, CUBLAS_FILL_MODE_LOWER, CUBLAS_OP_T, CUBLAS_DIAG_NON_UNIT,
  124. nx21, ny21, &p1, sub11, ld11, sub21, ld21);
  125. if (status != CUBLAS_STATUS_SUCCESS)
  126. STARPU_CUBLAS_REPORT_ERROR(status);
  127. break;
  128. #endif
  129. default:
  130. STARPU_ABORT();
  131. break;
  132. }
  133. }
  134. void chol_cpu_codelet_update_u21(void *descr[], void *_args)
  135. {
  136. chol_common_codelet_update_u21(descr, 0, _args);
  137. }
  138. #ifdef STARPU_USE_CUDA
  139. void chol_cublas_codelet_update_u21(void *descr[], void *_args)
  140. {
  141. chol_common_codelet_update_u21(descr, 1, _args);
  142. }
  143. #endif
  144. /*
  145. * U11
  146. */
  147. static inline void chol_common_codelet_update_u11(void *descr[], int s, void *_args)
  148. {
  149. /* printf("11\n"); */
  150. float *sub11;
  151. (void)_args;
  152. sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  153. unsigned nx = STARPU_MATRIX_GET_NY(descr[0]);
  154. unsigned ld = STARPU_MATRIX_GET_LD(descr[0]);
  155. unsigned z;
  156. switch (s)
  157. {
  158. case 0:
  159. #ifdef STARPU_MKL
  160. STARPU_SPOTRF("L", nx, sub11, ld);
  161. #else
  162. /*
  163. * - alpha 11 <- lambda 11 = sqrt(alpha11)
  164. * - alpha 21 <- l 21 = alpha 21 / lambda 11
  165. * - A22 <- A22 - l21 trans(l21)
  166. */
  167. for (z = 0; z < nx; z++)
  168. {
  169. float lambda11;
  170. lambda11 = sqrt(sub11[z+z*ld]);
  171. sub11[z+z*ld] = lambda11;
  172. STARPU_ASSERT(lambda11 != 0.0f);
  173. STARPU_SSCAL(nx - z - 1, 1.0f/lambda11, &sub11[(z+1)+z*ld], 1);
  174. STARPU_SSYR("L", nx - z - 1, -1.0f,
  175. &sub11[(z+1)+z*ld], 1,
  176. &sub11[(z+1)+(z+1)*ld], ld);
  177. }
  178. #endif
  179. break;
  180. #ifdef STARPU_USE_CUDA
  181. case 1:
  182. #ifdef STARPU_HAVE_MAGMA
  183. {
  184. int ret;
  185. int info;
  186. cudaStream_t stream = starpu_cuda_get_local_stream();
  187. #if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
  188. cublasSetKernelStream(stream);
  189. magmablasSetKernelStream(stream);
  190. #else
  191. starpu_cublas_set_stream();
  192. #endif
  193. ret = magma_spotrf_gpu(MagmaLower, nx, sub11, ld, &info);
  194. if (ret != MAGMA_SUCCESS)
  195. {
  196. fprintf(stderr, "Error in Magma: %d\n", ret);
  197. STARPU_ABORT();
  198. }
  199. #if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
  200. cudaError_t cures = cudaStreamSynchronize(stream);
  201. #else
  202. cudaError_t cures = cudaDeviceSynchronize();
  203. #endif
  204. STARPU_ASSERT(!cures);
  205. }
  206. #else
  207. {
  208. float *lambda11;
  209. cublasStatus_t status;
  210. cudaStream_t stream = starpu_cuda_get_local_stream();
  211. cublasHandle_t handle = starpu_cublas_get_local_handle();
  212. cudaHostAlloc((void **)&lambda11, sizeof(float), 0);
  213. for (z = 0; z < nx; z++)
  214. {
  215. cudaMemcpyAsync(lambda11, &sub11[z+z*ld], sizeof(float), cudaMemcpyDeviceToHost, stream);
  216. cudaStreamSynchronize(stream);
  217. STARPU_ASSERT(*lambda11 != 0.0f);
  218. *lambda11 = sqrt(*lambda11);
  219. /* cublasSetVector(1, sizeof(float), lambda11, sizeof(float), &sub11[z+z*ld], sizeof(float)); */
  220. cudaMemcpyAsync(&sub11[z+z*ld], lambda11, sizeof(float), cudaMemcpyHostToDevice, stream);
  221. float scal = 1.0f/(*lambda11);
  222. status = cublasSscal(handle,
  223. nx - z - 1, &scal, &sub11[(z+1)+z*ld], 1);
  224. if (status != CUBLAS_STATUS_SUCCESS)
  225. STARPU_CUBLAS_REPORT_ERROR(status);
  226. status = cublasSsyr(handle,
  227. CUBLAS_FILL_MODE_UPPER,
  228. nx - z - 1, &m1,
  229. &sub11[(z+1)+z*ld], 1,
  230. &sub11[(z+1)+(z+1)*ld], ld);
  231. if (status != CUBLAS_STATUS_SUCCESS)
  232. STARPU_CUBLAS_REPORT_ERROR(status);
  233. }
  234. cudaStreamSynchronize(stream);
  235. cudaFreeHost(lambda11);
  236. }
  237. #endif
  238. break;
  239. #endif
  240. default:
  241. STARPU_ABORT();
  242. break;
  243. }
  244. }
  245. void chol_cpu_codelet_update_u11(void *descr[], void *_args)
  246. {
  247. chol_common_codelet_update_u11(descr, 0, _args);
  248. }
  249. #ifdef STARPU_USE_CUDA
  250. void chol_cublas_codelet_update_u11(void *descr[], void *_args)
  251. {
  252. chol_common_codelet_update_u11(descr, 1, _args);
  253. }
  254. #endif/* STARPU_USE_CUDA */
  255. struct starpu_perfmodel chol_model_11;
  256. struct starpu_perfmodel chol_model_21;
  257. struct starpu_perfmodel chol_model_22;
  258. struct starpu_codelet cl11 =
  259. {
  260. .type = STARPU_SEQ,
  261. .cpu_funcs = {chol_cpu_codelet_update_u11},
  262. .cpu_funcs_name = {"chol_cpu_codelet_update_u11"},
  263. #ifdef STARPU_USE_CUDA
  264. .cuda_funcs = {chol_cublas_codelet_update_u11},
  265. #elif defined(STARPU_SIMGRID)
  266. .cuda_funcs = {(void*)1},
  267. #endif
  268. .nbuffers = 1,
  269. .modes = { STARPU_RW },
  270. .model = &chol_model_11,
  271. .color = 0xffff00,
  272. };
  273. struct starpu_codelet cl21 =
  274. {
  275. .type = STARPU_SEQ,
  276. .cpu_funcs = {chol_cpu_codelet_update_u21},
  277. .cpu_funcs_name = {"chol_cpu_codelet_update_u21"},
  278. #ifdef STARPU_USE_CUDA
  279. .cuda_funcs = {chol_cublas_codelet_update_u21},
  280. #elif defined(STARPU_SIMGRID)
  281. .cuda_funcs = {(void*)1},
  282. #endif
  283. .cuda_flags = {STARPU_CUDA_ASYNC},
  284. .nbuffers = 2,
  285. .modes = { STARPU_R, STARPU_RW },
  286. .model = &chol_model_21,
  287. .color = 0x8080ff,
  288. };
  289. struct starpu_codelet cl22 =
  290. {
  291. .type = STARPU_SEQ,
  292. .max_parallelism = INT_MAX,
  293. .cpu_funcs = {chol_cpu_codelet_update_u22},
  294. .cpu_funcs_name = {"chol_cpu_codelet_update_u22"},
  295. #ifdef STARPU_USE_CUDA
  296. .cuda_funcs = {chol_cublas_codelet_update_u22},
  297. #elif defined(STARPU_SIMGRID)
  298. .cuda_funcs = {(void*)1},
  299. #endif
  300. .cuda_flags = {STARPU_CUDA_ASYNC},
  301. .nbuffers = 3,
  302. .modes = { STARPU_R, STARPU_R, STARPU_RW },
  303. .model = &chol_model_22,
  304. .color = 0x00ff00,
  305. };
  306. struct starpu_codelet cl11_gpu =
  307. {
  308. #ifdef STARPU_USE_CUDA
  309. .cuda_funcs = {chol_cublas_codelet_update_u11},
  310. #elif defined(STARPU_SIMGRID)
  311. .cuda_funcs = {(void*)1},
  312. #endif
  313. .nbuffers = 1,
  314. .modes = { STARPU_RW },
  315. .model = &chol_model_11,
  316. .color = 0xffff00,
  317. };
  318. struct starpu_codelet cl21_gpu =
  319. {
  320. #ifdef STARPU_USE_CUDA
  321. .cuda_funcs = {chol_cublas_codelet_update_u21},
  322. #elif defined(STARPU_SIMGRID)
  323. .cuda_funcs = {(void*)1},
  324. #endif
  325. .cuda_flags = {STARPU_CUDA_ASYNC},
  326. .nbuffers = 2,
  327. .modes = { STARPU_R, STARPU_RW },
  328. .model = &chol_model_21,
  329. .color = 0x8080ff,
  330. };
  331. struct starpu_codelet cl22_gpu =
  332. {
  333. #ifdef STARPU_USE_CUDA
  334. .cuda_funcs = {chol_cublas_codelet_update_u22},
  335. #elif defined(STARPU_SIMGRID)
  336. .cuda_funcs = {(void*)1},
  337. #endif
  338. .cuda_flags = {STARPU_CUDA_ASYNC},
  339. .nbuffers = 3,
  340. .modes = { STARPU_R, STARPU_R, STARPU_RW },
  341. .model = &chol_model_22,
  342. .color = 0x00ff00,
  343. };
  344. struct starpu_codelet cl11_cpu =
  345. {
  346. .type = STARPU_SEQ,
  347. .cpu_funcs = {chol_cpu_codelet_update_u11},
  348. .cpu_funcs_name = {"chol_cpu_codelet_update_u11"},
  349. .nbuffers = 1,
  350. .modes = { STARPU_RW },
  351. .model = &chol_model_11,
  352. .color = 0xffff00,
  353. };
  354. struct starpu_codelet cl21_cpu =
  355. {
  356. .type = STARPU_SEQ,
  357. .cpu_funcs = {chol_cpu_codelet_update_u21},
  358. .cpu_funcs_name = {"chol_cpu_codelet_update_u21"},
  359. .nbuffers = 2,
  360. .modes = { STARPU_R, STARPU_RW },
  361. .model = &chol_model_21,
  362. .color = 0x8080ff,
  363. };
  364. struct starpu_codelet cl22_cpu =
  365. {
  366. .type = STARPU_SEQ,
  367. .max_parallelism = INT_MAX,
  368. .cpu_funcs = {chol_cpu_codelet_update_u22},
  369. .cpu_funcs_name = {"chol_cpu_codelet_update_u22"},
  370. .nbuffers = 3,
  371. .modes = { STARPU_R, STARPU_R, STARPU_RW },
  372. .model = &chol_model_22,
  373. .color = 0x00ff00,
  374. };