cholesky_kernels.c 8.0 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009-2012, 2014-2015 Université de Bordeaux
  4. * Copyright (C) 2010, 2011, 2012 CNRS
  5. *
  6. * StarPU is free software; you can redistribute it and/or modify
  7. * it under the terms of the GNU Lesser General Public License as published by
  8. * the Free Software Foundation; either version 2.1 of the License, or (at
  9. * your option) any later version.
  10. *
  11. * StarPU is distributed in the hope that it will be useful, but
  12. * WITHOUT ANY WARRANTY; without even the implied warranty of
  13. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  14. *
  15. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  16. */
  17. /*
  18. * Standard kernels for the Cholesky factorization
  19. * U22 is the gemm update
  20. * U21 is the trsm update
  21. * U11 is the cholesky factorization
  22. */
  23. #include <starpu.h>
  24. #include "cholesky.h"
  25. #include "../common/blas.h"
  26. #if defined(STARPU_USE_CUDA) && defined(STARPU_HAVE_MAGMA)
  27. #include "magma.h"
  28. #include "magma_lapack.h"
  29. #endif
  30. /*
  31. * U22
  32. */
  33. static inline void chol_common_cpu_codelet_update_u22(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  34. {
  35. /* printf("22\n"); */
  36. float *left = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  37. float *right = (float *)STARPU_MATRIX_GET_PTR(descr[1]);
  38. float *center = (float *)STARPU_MATRIX_GET_PTR(descr[2]);
  39. unsigned dx = STARPU_MATRIX_GET_NY(descr[2]);
  40. unsigned dy = STARPU_MATRIX_GET_NX(descr[2]);
  41. unsigned dz = STARPU_MATRIX_GET_NY(descr[0]);
  42. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[0]);
  43. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[1]);
  44. unsigned ld22 = STARPU_MATRIX_GET_LD(descr[2]);
  45. if (s == 0)
  46. {
  47. int worker_size = starpu_combined_worker_get_size();
  48. if (worker_size == 1)
  49. {
  50. /* Sequential CPU kernel */
  51. STARPU_SGEMM("N", "T", dy, dx, dz, -1.0f, left, ld21,
  52. right, ld12, 1.0f, center, ld22);
  53. }
  54. else
  55. {
  56. /* Parallel CPU kernel */
  57. unsigned rank = starpu_combined_worker_get_rank();
  58. unsigned block_size = (dx + worker_size - 1)/worker_size;
  59. unsigned new_dx = STARPU_MIN(dx, block_size*(rank+1)) - block_size*rank;
  60. float *new_left = &left[block_size*rank];
  61. float *new_center = &center[block_size*rank];
  62. STARPU_SGEMM("N", "T", dy, new_dx, dz, -1.0f, new_left, ld21,
  63. right, ld12, 1.0f, new_center, ld22);
  64. }
  65. }
  66. else
  67. {
  68. /* CUDA kernel */
  69. #ifdef STARPU_USE_CUDA
  70. #ifdef STARPU_HAVE_MAGMA
  71. cublasSetKernelStream(starpu_cuda_get_local_stream());
  72. #else
  73. starpu_cublas_set_stream();
  74. #endif
  75. cublasSgemm('n', 't', dy, dx, dz,
  76. -1.0f, left, ld21, right, ld12,
  77. 1.0f, center, ld22);
  78. #endif
  79. }
  80. }
  81. void chol_cpu_codelet_update_u22(void *descr[], void *_args)
  82. {
  83. chol_common_cpu_codelet_update_u22(descr, 0, _args);
  84. }
  85. #ifdef STARPU_USE_CUDA
  86. void chol_cublas_codelet_update_u22(void *descr[], void *_args)
  87. {
  88. chol_common_cpu_codelet_update_u22(descr, 1, _args);
  89. }
  90. #endif /* STARPU_USE_CUDA */
  91. /*
  92. * U21
  93. */
  94. static inline void chol_common_codelet_update_u21(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  95. {
  96. /* printf("21\n"); */
  97. float *sub11;
  98. float *sub21;
  99. sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  100. sub21 = (float *)STARPU_MATRIX_GET_PTR(descr[1]);
  101. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  102. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  103. unsigned nx21 = STARPU_MATRIX_GET_NY(descr[1]);
  104. unsigned ny21 = STARPU_MATRIX_GET_NX(descr[1]);
  105. switch (s)
  106. {
  107. case 0:
  108. STARPU_STRSM("R", "L", "T", "N", nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
  109. break;
  110. #ifdef STARPU_USE_CUDA
  111. case 1:
  112. #ifdef STARPU_HAVE_MAGMA
  113. cublasSetKernelStream(starpu_cuda_get_local_stream());
  114. #else
  115. starpu_cublas_set_stream();
  116. #endif
  117. cublasStrsm('R', 'L', 'T', 'N', nx21, ny21, 1.0f, sub11, ld11, sub21, ld21);
  118. break;
  119. #endif
  120. default:
  121. STARPU_ABORT();
  122. break;
  123. }
  124. }
  125. void chol_cpu_codelet_update_u21(void *descr[], void *_args)
  126. {
  127. chol_common_codelet_update_u21(descr, 0, _args);
  128. }
  129. #ifdef STARPU_USE_CUDA
  130. void chol_cublas_codelet_update_u21(void *descr[], void *_args)
  131. {
  132. chol_common_codelet_update_u21(descr, 1, _args);
  133. }
  134. #endif
  135. /*
  136. * U11
  137. */
  138. static inline void chol_common_codelet_update_u11(void *descr[], int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  139. {
  140. /* printf("11\n"); */
  141. float *sub11;
  142. sub11 = (float *)STARPU_MATRIX_GET_PTR(descr[0]);
  143. unsigned nx = STARPU_MATRIX_GET_NY(descr[0]);
  144. unsigned ld = STARPU_MATRIX_GET_LD(descr[0]);
  145. unsigned z;
  146. switch (s)
  147. {
  148. case 0:
  149. #ifdef STARPU_MKL
  150. STARPU_SPOTRF("L", nx, sub11, ld);
  151. #else
  152. /*
  153. * - alpha 11 <- lambda 11 = sqrt(alpha11)
  154. * - alpha 21 <- l 21 = alpha 21 / lambda 11
  155. * - A22 <- A22 - l21 trans(l21)
  156. */
  157. for (z = 0; z < nx; z++)
  158. {
  159. float lambda11;
  160. lambda11 = sqrt(sub11[z+z*ld]);
  161. sub11[z+z*ld] = lambda11;
  162. STARPU_ASSERT(lambda11 != 0.0f);
  163. STARPU_SSCAL(nx - z - 1, 1.0f/lambda11, &sub11[(z+1)+z*ld], 1);
  164. STARPU_SSYR("L", nx - z - 1, -1.0f,
  165. &sub11[(z+1)+z*ld], 1,
  166. &sub11[(z+1)+(z+1)*ld], ld);
  167. }
  168. #endif
  169. break;
  170. #ifdef STARPU_USE_CUDA
  171. case 1:
  172. #ifdef STARPU_HAVE_MAGMA
  173. {
  174. int ret;
  175. int info;
  176. #if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
  177. cublasSetKernelStream(starpu_cuda_get_local_stream());
  178. magmablasSetKernelStream(starpu_cuda_get_local_stream());
  179. #else
  180. starpu_cublas_set_stream();
  181. #endif
  182. ret = magma_spotrf_gpu(MagmaLower, nx, sub11, ld, &info);
  183. if (ret != MAGMA_SUCCESS)
  184. {
  185. fprintf(stderr, "Error in Magma: %d\n", ret);
  186. STARPU_ABORT();
  187. }
  188. #if (MAGMA_VERSION_MAJOR > 1) || (MAGMA_VERSION_MAJOR == 1 && MAGMA_VERSION_MINOR >= 4)
  189. cudaError_t cures = cudaStreamSynchronize(starpu_cuda_get_local_stream());
  190. #else
  191. cudaError_t cures = cudaThreadSynchronize();
  192. #endif
  193. STARPU_ASSERT(!cures);
  194. }
  195. #else
  196. {
  197. float *lambda11;
  198. cudaHostAlloc((void **)&lambda11, sizeof(float), 0);
  199. for (z = 0; z < nx; z++)
  200. {
  201. cudaMemcpyAsync(lambda11, &sub11[z+z*ld], sizeof(float), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  202. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  203. STARPU_ASSERT(*lambda11 != 0.0f);
  204. *lambda11 = sqrt(*lambda11);
  205. /* cublasSetVector(1, sizeof(float), lambda11, sizeof(float), &sub11[z+z*ld], sizeof(float)); */
  206. cudaMemcpyAsync(&sub11[z+z*ld], lambda11, sizeof(float), cudaMemcpyHostToDevice, starpu_cuda_get_local_stream());
  207. cublasSscal(nx - z - 1, 1.0f/(*lambda11), &sub11[(z+1)+z*ld], 1);
  208. cublasSsyr('U', nx - z - 1, -1.0f,
  209. &sub11[(z+1)+z*ld], 1,
  210. &sub11[(z+1)+(z+1)*ld], ld);
  211. }
  212. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  213. cudaFreeHost(lambda11);
  214. }
  215. #endif
  216. break;
  217. #endif
  218. default:
  219. STARPU_ABORT();
  220. break;
  221. }
  222. }
  223. void chol_cpu_codelet_update_u11(void *descr[], void *_args)
  224. {
  225. chol_common_codelet_update_u11(descr, 0, _args);
  226. }
  227. #ifdef STARPU_USE_CUDA
  228. void chol_cublas_codelet_update_u11(void *descr[], void *_args)
  229. {
  230. chol_common_codelet_update_u11(descr, 1, _args);
  231. }
  232. #endif/* STARPU_USE_CUDA */
  233. struct starpu_codelet cl11 =
  234. {
  235. .type = STARPU_SEQ,
  236. .cpu_funcs = {chol_cpu_codelet_update_u11},
  237. .cpu_funcs_name = {"chol_cpu_codelet_update_u11"},
  238. #ifdef STARPU_USE_CUDA
  239. .cuda_funcs = {chol_cublas_codelet_update_u11},
  240. #elif defined(STARPU_SIMGRID)
  241. .cuda_funcs = {(void*)1},
  242. #endif
  243. .nbuffers = 1,
  244. .modes = { STARPU_RW },
  245. .model = &chol_model_11
  246. };
  247. struct starpu_codelet cl21 =
  248. {
  249. .type = STARPU_SEQ,
  250. .cpu_funcs = {chol_cpu_codelet_update_u21},
  251. .cpu_funcs_name = {"chol_cpu_codelet_update_u21"},
  252. #ifdef STARPU_USE_CUDA
  253. .cuda_funcs = {chol_cublas_codelet_update_u21},
  254. #elif defined(STARPU_SIMGRID)
  255. .cuda_funcs = {(void*)1},
  256. #endif
  257. .cuda_flags = {STARPU_CUDA_ASYNC},
  258. .nbuffers = 2,
  259. .modes = { STARPU_R, STARPU_RW },
  260. .model = &chol_model_21
  261. };
  262. struct starpu_codelet cl22 =
  263. {
  264. .type = STARPU_SEQ,
  265. .max_parallelism = INT_MAX,
  266. .cpu_funcs = {chol_cpu_codelet_update_u22},
  267. .cpu_funcs_name = {"chol_cpu_codelet_update_u22"},
  268. #ifdef STARPU_USE_CUDA
  269. .cuda_funcs = {chol_cublas_codelet_update_u22},
  270. #elif defined(STARPU_SIMGRID)
  271. .cuda_funcs = {(void*)1},
  272. #endif
  273. .cuda_flags = {STARPU_CUDA_ASYNC},
  274. .nbuffers = 3,
  275. .modes = { STARPU_R, STARPU_R, STARPU_RW },
  276. .model = &chol_model_22
  277. };