xlu_kernels.c 13 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009, 2010-2011 Université de Bordeaux 1
  4. * Copyright (C) 2010, 2011, 2012 Centre National de la Recherche Scientifique
  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. #include "xlu.h"
  18. #include <math.h>
  19. #define str(s) #s
  20. #define xstr(s) str(s)
  21. #define STARPU_LU_STR(name) xstr(STARPU_LU(name))
  22. #ifdef STARPU_USE_CUDA
  23. static const TYPE p1 = 1.0f;
  24. static const TYPE m1 = -1.0f;
  25. #endif
  26. /*
  27. * U22
  28. */
  29. static inline void STARPU_LU(common_u22)(void *descr[],
  30. int s, __attribute__((unused)) void *_args)
  31. {
  32. TYPE *right = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  33. TYPE *left = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  34. TYPE *center = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);
  35. unsigned dx = STARPU_MATRIX_GET_NX(descr[2]);
  36. unsigned dy = STARPU_MATRIX_GET_NY(descr[2]);
  37. unsigned dz = STARPU_MATRIX_GET_NY(descr[0]);
  38. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[0]);
  39. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  40. unsigned ld22 = STARPU_MATRIX_GET_LD(descr[2]);
  41. #ifdef STARPU_USE_CUDA
  42. cublasStatus status;
  43. cudaError_t cures;
  44. #endif
  45. switch (s)
  46. {
  47. case 0:
  48. CPU_GEMM("N", "N", dy, dx, dz,
  49. (TYPE)-1.0, right, ld21, left, ld12,
  50. (TYPE)1.0, center, ld22);
  51. break;
  52. #ifdef STARPU_USE_CUDA
  53. case 1:
  54. {
  55. CUBLAS_GEMM('n', 'n', dx, dy, dz,
  56. *(CUBLAS_TYPE*)&m1, (CUBLAS_TYPE *)right, ld21, (CUBLAS_TYPE *)left, ld12,
  57. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE *)center, ld22);
  58. status = cublasGetError();
  59. if (STARPU_UNLIKELY(status != CUBLAS_STATUS_SUCCESS))
  60. STARPU_ABORT();
  61. if (STARPU_UNLIKELY((cures = cudaThreadSynchronize()) != cudaSuccess))
  62. STARPU_CUDA_REPORT_ERROR(cures);
  63. break;
  64. }
  65. #endif
  66. default:
  67. STARPU_ABORT();
  68. break;
  69. }
  70. }
  71. void STARPU_LU(cpu_u22)(void *descr[], void *_args)
  72. {
  73. STARPU_LU(common_u22)(descr, 0, _args);
  74. }
  75. #ifdef STARPU_USE_CUDA
  76. void STARPU_LU(cublas_u22)(void *descr[], void *_args)
  77. {
  78. STARPU_LU(common_u22)(descr, 1, _args);
  79. }
  80. #endif /* STARPU_USE_CUDA */
  81. static struct starpu_perfmodel STARPU_LU(model_22) =
  82. {
  83. .type = STARPU_HISTORY_BASED,
  84. #ifdef STARPU_ATLAS
  85. .symbol = STARPU_LU_STR(lu_model_22_atlas)
  86. #elif defined(STARPU_GOTO)
  87. .symbol = STARPU_LU_STR(lu_model_22_goto)
  88. #else
  89. .symbol = STARPU_LU_STR(lu_model_22)
  90. #endif
  91. };
  92. struct starpu_codelet cl22 =
  93. {
  94. .where = STARPU_CPU|STARPU_CUDA,
  95. .cpu_funcs = {STARPU_LU(cpu_u22), NULL},
  96. #ifdef STARPU_USE_CUDA
  97. .cuda_funcs = {STARPU_LU(cublas_u22), NULL},
  98. #endif
  99. .nbuffers = 3,
  100. .modes = {STARPU_R, STARPU_R, STARPU_RW},
  101. .model = &STARPU_LU(model_22)
  102. };
  103. /*
  104. * U12
  105. */
  106. static inline void STARPU_LU(common_u12)(void *descr[],
  107. int s, __attribute__((unused)) void *_args)
  108. {
  109. TYPE *sub11;
  110. TYPE *sub12;
  111. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  112. sub12 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  113. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  114. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[1]);
  115. unsigned nx12 = STARPU_MATRIX_GET_NX(descr[1]);
  116. unsigned ny12 = STARPU_MATRIX_GET_NY(descr[1]);
  117. #ifdef STARPU_USE_CUDA
  118. cublasStatus status;
  119. cudaError_t cures;
  120. #endif
  121. /* solve L11 U12 = A12 (find U12) */
  122. switch (s)
  123. {
  124. case 0:
  125. CPU_TRSM("L", "L", "N", "N", nx12, ny12,
  126. (TYPE)1.0, sub11, ld11, sub12, ld12);
  127. break;
  128. #ifdef STARPU_USE_CUDA
  129. case 1:
  130. CUBLAS_TRSM('L', 'L', 'N', 'N', ny12, nx12,
  131. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE*)sub11, ld11, (CUBLAS_TYPE*)sub12, ld12);
  132. status = cublasGetError();
  133. if (STARPU_UNLIKELY(status != CUBLAS_STATUS_SUCCESS))
  134. STARPU_ABORT();
  135. if (STARPU_UNLIKELY((cures = cudaThreadSynchronize()) != cudaSuccess))
  136. STARPU_CUDA_REPORT_ERROR(cures);
  137. break;
  138. #endif
  139. default:
  140. STARPU_ABORT();
  141. break;
  142. }
  143. }
  144. void STARPU_LU(cpu_u12)(void *descr[], void *_args)
  145. {
  146. STARPU_LU(common_u12)(descr, 0, _args);
  147. }
  148. #ifdef STARPU_USE_CUDA
  149. void STARPU_LU(cublas_u12)(void *descr[], void *_args)
  150. {
  151. STARPU_LU(common_u12)(descr, 1, _args);
  152. }
  153. #endif /* STARPU_USE_CUDA */
  154. static struct starpu_perfmodel STARPU_LU(model_12) =
  155. {
  156. .type = STARPU_HISTORY_BASED,
  157. #ifdef STARPU_ATLAS
  158. .symbol = STARPU_LU_STR(lu_model_12_atlas)
  159. #elif defined(STARPU_GOTO)
  160. .symbol = STARPU_LU_STR(lu_model_12_goto)
  161. #else
  162. .symbol = STARPU_LU_STR(lu_model_12)
  163. #endif
  164. };
  165. struct starpu_codelet cl12 =
  166. {
  167. .where = STARPU_CPU|STARPU_CUDA,
  168. .cpu_funcs = {STARPU_LU(cpu_u12), NULL},
  169. #ifdef STARPU_USE_CUDA
  170. .cuda_funcs = {STARPU_LU(cublas_u12), NULL},
  171. #endif
  172. .nbuffers = 2,
  173. .modes = {STARPU_R, STARPU_RW},
  174. .model = &STARPU_LU(model_12)
  175. };
  176. /*
  177. * U21
  178. */
  179. static inline void STARPU_LU(common_u21)(void *descr[],
  180. int s, __attribute__((unused)) void *_args)
  181. {
  182. TYPE *sub11;
  183. TYPE *sub21;
  184. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  185. sub21 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  186. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  187. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  188. unsigned nx21 = STARPU_MATRIX_GET_NX(descr[1]);
  189. unsigned ny21 = STARPU_MATRIX_GET_NY(descr[1]);
  190. #ifdef STARPU_USE_CUDA
  191. cublasStatus status;
  192. #endif
  193. switch (s)
  194. {
  195. case 0:
  196. CPU_TRSM("R", "U", "N", "U", nx21, ny21,
  197. (TYPE)1.0, sub11, ld11, sub21, ld21);
  198. break;
  199. #ifdef STARPU_USE_CUDA
  200. case 1:
  201. CUBLAS_TRSM('R', 'U', 'N', 'U', ny21, nx21,
  202. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE*)sub11, ld11, (CUBLAS_TYPE*)sub21, ld21);
  203. status = cublasGetError();
  204. if (status != CUBLAS_STATUS_SUCCESS)
  205. STARPU_ABORT();
  206. cudaThreadSynchronize();
  207. break;
  208. #endif
  209. default:
  210. STARPU_ABORT();
  211. break;
  212. }
  213. }
  214. void STARPU_LU(cpu_u21)(void *descr[], void *_args)
  215. {
  216. STARPU_LU(common_u21)(descr, 0, _args);
  217. }
  218. #ifdef STARPU_USE_CUDA
  219. void STARPU_LU(cublas_u21)(void *descr[], void *_args)
  220. {
  221. STARPU_LU(common_u21)(descr, 1, _args);
  222. }
  223. #endif
  224. static struct starpu_perfmodel STARPU_LU(model_21) =
  225. {
  226. .type = STARPU_HISTORY_BASED,
  227. #ifdef STARPU_ATLAS
  228. .symbol = STARPU_LU_STR(lu_model_21_atlas)
  229. #elif defined(STARPU_GOTO)
  230. .symbol = STARPU_LU_STR(lu_model_21_goto)
  231. #else
  232. .symbol = STARPU_LU_STR(lu_model_21)
  233. #endif
  234. };
  235. struct starpu_codelet cl21 =
  236. {
  237. .where = STARPU_CPU|STARPU_CUDA,
  238. .cpu_funcs = {STARPU_LU(cpu_u21), NULL},
  239. #ifdef STARPU_USE_CUDA
  240. .cuda_funcs = {STARPU_LU(cublas_u21), NULL},
  241. #endif
  242. .nbuffers = 2,
  243. .modes = {STARPU_R, STARPU_RW},
  244. .model = &STARPU_LU(model_21)
  245. };
  246. /*
  247. * U11
  248. */
  249. static inline void STARPU_LU(common_u11)(void *descr[],
  250. int s, __attribute__((unused)) void *_args)
  251. {
  252. TYPE *sub11;
  253. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  254. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  255. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  256. unsigned long z;
  257. switch (s)
  258. {
  259. case 0:
  260. for (z = 0; z < nx; z++)
  261. {
  262. TYPE pivot;
  263. pivot = sub11[z+z*ld];
  264. STARPU_ASSERT(fpclassify(pivot) != FP_ZERO);
  265. CPU_SCAL(nx - z - 1, (1.0/pivot), &sub11[z+(z+1)*ld], ld);
  266. CPU_GER(nx - z - 1, nx - z - 1, -1.0,
  267. &sub11[(z+1)+z*ld], 1,
  268. &sub11[z+(z+1)*ld], ld,
  269. &sub11[(z+1) + (z+1)*ld],ld);
  270. }
  271. break;
  272. #ifdef STARPU_USE_CUDA
  273. case 1:
  274. for (z = 0; z < nx; z++)
  275. {
  276. TYPE pivot;
  277. TYPE inv_pivot;
  278. cudaMemcpy(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost);
  279. cudaStreamSynchronize(0);
  280. STARPU_ASSERT(fpclassify(pivot) != FP_ZERO);
  281. inv_pivot = 1.0/pivot;
  282. CUBLAS_SCAL(nx - z - 1, *(CUBLAS_TYPE*)&inv_pivot, (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld);
  283. CUBLAS_GER(nx - z - 1, nx - z - 1, *(CUBLAS_TYPE*)&m1,
  284. (CUBLAS_TYPE*)&sub11[(z+1)+z*ld], 1,
  285. (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld,
  286. (CUBLAS_TYPE*)&sub11[(z+1) + (z+1)*ld],ld);
  287. }
  288. cudaThreadSynchronize();
  289. break;
  290. #endif
  291. default:
  292. STARPU_ABORT();
  293. break;
  294. }
  295. }
  296. void STARPU_LU(cpu_u11)(void *descr[], void *_args)
  297. {
  298. STARPU_LU(common_u11)(descr, 0, _args);
  299. }
  300. #ifdef STARPU_USE_CUDA
  301. void STARPU_LU(cublas_u11)(void *descr[], void *_args)
  302. {
  303. STARPU_LU(common_u11)(descr, 1, _args);
  304. }
  305. #endif /* STARPU_USE_CUDA */
  306. static struct starpu_perfmodel STARPU_LU(model_11) =
  307. {
  308. .type = STARPU_HISTORY_BASED,
  309. #ifdef STARPU_ATLAS
  310. .symbol = STARPU_LU_STR(lu_model_11_atlas)
  311. #elif defined(STARPU_GOTO)
  312. .symbol = STARPU_LU_STR(lu_model_11_goto)
  313. #else
  314. .symbol = STARPU_LU_STR(lu_model_11)
  315. #endif
  316. };
  317. struct starpu_codelet cl11 =
  318. {
  319. .where = STARPU_CPU|STARPU_CUDA,
  320. .cpu_funcs = {STARPU_LU(cpu_u11), NULL},
  321. #ifdef STARPU_USE_CUDA
  322. .cuda_funcs = {STARPU_LU(cublas_u11), NULL},
  323. #endif
  324. .nbuffers = 1,
  325. .modes = {STARPU_RW},
  326. .model = &STARPU_LU(model_11)
  327. };
  328. /*
  329. * U11 with pivoting
  330. */
  331. static inline void STARPU_LU(common_u11_pivot)(void *descr[],
  332. int s, void *_args)
  333. {
  334. TYPE *sub11;
  335. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  336. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  337. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  338. unsigned long z;
  339. struct piv_s *piv = _args;
  340. unsigned *ipiv = piv->piv;
  341. unsigned first = piv->first;
  342. switch (s)
  343. {
  344. case 0:
  345. for (z = 0; z < nx; z++)
  346. {
  347. TYPE pivot;
  348. pivot = sub11[z+z*ld];
  349. if (fabs((double)(pivot)) < PIVOT_THRESHHOLD)
  350. {
  351. /* find the pivot */
  352. int piv_ind = CPU_IAMAX(nx - z, &sub11[z*(ld+1)], ld);
  353. ipiv[z + first] = piv_ind + z + first;
  354. /* swap if needed */
  355. if (piv_ind != 0)
  356. {
  357. CPU_SWAP(nx, &sub11[z*ld], 1, &sub11[(z+piv_ind)*ld], 1);
  358. }
  359. pivot = sub11[z+z*ld];
  360. }
  361. STARPU_ASSERT(pivot != 0.0);
  362. CPU_SCAL(nx - z - 1, (1.0/pivot), &sub11[z+(z+1)*ld], ld);
  363. CPU_GER(nx - z - 1, nx - z - 1, -1.0,
  364. &sub11[(z+1)+z*ld], 1,
  365. &sub11[z+(z+1)*ld], ld,
  366. &sub11[(z+1) + (z+1)*ld],ld);
  367. }
  368. break;
  369. #ifdef STARPU_USE_CUDA
  370. case 1:
  371. for (z = 0; z < nx; z++)
  372. {
  373. TYPE pivot;
  374. TYPE inv_pivot;
  375. cudaMemcpy(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost);
  376. cudaStreamSynchronize(0);
  377. if (fabs((double)(pivot)) < PIVOT_THRESHHOLD)
  378. {
  379. /* find the pivot */
  380. int piv_ind = CUBLAS_IAMAX(nx - z, (CUBLAS_TYPE*)&sub11[z*(ld+1)], ld) - 1;
  381. ipiv[z + first] = piv_ind + z + first;
  382. /* swap if needed */
  383. if (piv_ind != 0)
  384. {
  385. CUBLAS_SWAP(nx, (CUBLAS_TYPE*)&sub11[z*ld], 1, (CUBLAS_TYPE*)&sub11[(z+piv_ind)*ld], 1);
  386. }
  387. cudaMemcpy(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost);
  388. cudaStreamSynchronize(0);
  389. }
  390. STARPU_ASSERT(pivot != 0.0);
  391. inv_pivot = 1.0/pivot;
  392. CUBLAS_SCAL(nx - z - 1, *(CUBLAS_TYPE*)&inv_pivot, (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld);
  393. CUBLAS_GER(nx - z - 1, nx - z - 1, *(CUBLAS_TYPE*)&m1,
  394. (CUBLAS_TYPE*)&sub11[(z+1)+z*ld], 1,
  395. (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld,
  396. (CUBLAS_TYPE*)&sub11[(z+1) + (z+1)*ld],ld);
  397. }
  398. cudaThreadSynchronize();
  399. break;
  400. #endif
  401. default:
  402. STARPU_ABORT();
  403. break;
  404. }
  405. }
  406. void STARPU_LU(cpu_u11_pivot)(void *descr[], void *_args)
  407. {
  408. STARPU_LU(common_u11_pivot)(descr, 0, _args);
  409. }
  410. #ifdef STARPU_USE_CUDA
  411. void STARPU_LU(cublas_u11_pivot)(void *descr[], void *_args)
  412. {
  413. STARPU_LU(common_u11_pivot)(descr, 1, _args);
  414. }
  415. #endif /* STARPU_USE_CUDA */
  416. static struct starpu_perfmodel STARPU_LU(model_11_pivot) =
  417. {
  418. .type = STARPU_HISTORY_BASED,
  419. #ifdef STARPU_ATLAS
  420. .symbol = STARPU_LU_STR(lu_model_11_pivot_atlas)
  421. #elif defined(STARPU_GOTO)
  422. .symbol = STARPU_LU_STR(lu_model_11_pivot_goto)
  423. #else
  424. .symbol = STARPU_LU_STR(lu_model_11_pivot)
  425. #endif
  426. };
  427. struct starpu_codelet cl11_pivot =
  428. {
  429. .where = STARPU_CPU|STARPU_CUDA,
  430. .cpu_funcs = {STARPU_LU(cpu_u11_pivot), NULL},
  431. #ifdef STARPU_USE_CUDA
  432. .cuda_funcs = {STARPU_LU(cublas_u11_pivot), NULL},
  433. #endif
  434. .nbuffers = 1,
  435. .modes = {STARPU_RW},
  436. .model = &STARPU_LU(model_11_pivot)
  437. };
  438. /*
  439. * Pivoting
  440. */
  441. static inline void STARPU_LU(common_pivot)(void *descr[],
  442. int s, void *_args)
  443. {
  444. TYPE *matrix;
  445. matrix = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  446. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  447. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  448. unsigned row;
  449. struct piv_s *piv = _args;
  450. unsigned *ipiv = piv->piv;
  451. unsigned first = piv->first;
  452. switch (s)
  453. {
  454. case 0:
  455. for (row = 0; row < nx; row++)
  456. {
  457. unsigned rowpiv = ipiv[row+first] - first;
  458. if (rowpiv != row)
  459. {
  460. CPU_SWAP(nx, &matrix[row*ld], 1, &matrix[rowpiv*ld], 1);
  461. }
  462. }
  463. break;
  464. #ifdef STARPU_USE_CUDA
  465. case 1:
  466. for (row = 0; row < nx; row++)
  467. {
  468. unsigned rowpiv = ipiv[row+first] - first;
  469. if (rowpiv != row)
  470. {
  471. CUBLAS_SWAP(nx, (CUBLAS_TYPE*)&matrix[row*ld], 1, (CUBLAS_TYPE*)&matrix[rowpiv*ld], 1);
  472. }
  473. }
  474. cudaThreadSynchronize();
  475. break;
  476. #endif
  477. default:
  478. STARPU_ABORT();
  479. break;
  480. }
  481. }
  482. void STARPU_LU(cpu_pivot)(void *descr[], void *_args)
  483. {
  484. STARPU_LU(common_pivot)(descr, 0, _args);
  485. }
  486. #ifdef STARPU_USE_CUDA
  487. void STARPU_LU(cublas_pivot)(void *descr[], void *_args)
  488. {
  489. STARPU_LU(common_pivot)(descr, 1, _args);
  490. }
  491. #endif /* STARPU_USE_CUDA */
  492. static struct starpu_perfmodel STARPU_LU(model_pivot) =
  493. {
  494. .type = STARPU_HISTORY_BASED,
  495. #ifdef STARPU_ATLAS
  496. .symbol = STARPU_LU_STR(lu_model_pivot_atlas)
  497. #elif defined(STARPU_GOTO)
  498. .symbol = STARPU_LU_STR(lu_model_pivot_goto)
  499. #else
  500. .symbol = STARPU_LU_STR(lu_model_pivot)
  501. #endif
  502. };
  503. struct starpu_codelet cl_pivot =
  504. {
  505. .where = STARPU_CPU|STARPU_CUDA,
  506. .cpu_funcs = {STARPU_LU(cpu_pivot), NULL},
  507. #ifdef STARPU_USE_CUDA
  508. .cuda_funcs = {STARPU_LU(cublas_pivot), NULL},
  509. #endif
  510. .nbuffers = 1,
  511. .modes = {STARPU_RW},
  512. .model = &STARPU_LU(model_pivot)
  513. };