xlu_kernels.c 15 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2009, 2010-2012, 2014-2015 Université de Bordeaux
  4. * Copyright (C) 2010, 2011, 2012, 2015 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. /* LU Kernels */
  18. #include "xlu.h"
  19. #include <math.h>
  20. #define str(s) #s
  21. #define xstr(s) str(s)
  22. #define STARPU_LU_STR(name) xstr(STARPU_LU(name))
  23. #ifdef STARPU_USE_CUDA
  24. static const TYPE p1 = 1.0f;
  25. static const TYPE m1 = -1.0f;
  26. #endif
  27. /*
  28. * U22
  29. */
  30. static inline void STARPU_LU(common_u22)(void *descr[],
  31. int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  32. {
  33. TYPE *right = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  34. TYPE *left = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  35. TYPE *center = (TYPE *)STARPU_MATRIX_GET_PTR(descr[2]);
  36. unsigned dx = STARPU_MATRIX_GET_NX(descr[2]);
  37. unsigned dy = STARPU_MATRIX_GET_NY(descr[2]);
  38. unsigned dz = STARPU_MATRIX_GET_NY(descr[0]);
  39. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[0]);
  40. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  41. unsigned ld22 = STARPU_MATRIX_GET_LD(descr[2]);
  42. #ifdef STARPU_USE_CUDA
  43. cublasStatus status;
  44. cudaError_t cures;
  45. #endif
  46. switch (s)
  47. {
  48. case 0:
  49. CPU_GEMM("N", "N", dy, dx, dz,
  50. (TYPE)-1.0, right, ld21, left, ld12,
  51. (TYPE)1.0, center, ld22);
  52. break;
  53. #ifdef STARPU_USE_CUDA
  54. case 1:
  55. {
  56. CUBLAS_GEMM('n', 'n', dx, dy, dz,
  57. *(CUBLAS_TYPE*)&m1, (CUBLAS_TYPE *)right, ld21, (CUBLAS_TYPE *)left, ld12,
  58. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE *)center, ld22);
  59. status = cublasGetError();
  60. if (STARPU_UNLIKELY(status != CUBLAS_STATUS_SUCCESS))
  61. STARPU_CUBLAS_REPORT_ERROR(status);
  62. break;
  63. }
  64. #endif
  65. default:
  66. STARPU_ABORT();
  67. break;
  68. }
  69. }
  70. void STARPU_LU(cpu_u22)(void *descr[], void *_args)
  71. {
  72. STARPU_LU(common_u22)(descr, 0, _args);
  73. }
  74. #ifdef STARPU_USE_CUDA
  75. void STARPU_LU(cublas_u22)(void *descr[], void *_args)
  76. {
  77. STARPU_LU(common_u22)(descr, 1, _args);
  78. }
  79. #endif /* STARPU_USE_CUDA */
  80. static struct starpu_perfmodel STARPU_LU(model_22) =
  81. {
  82. .type = STARPU_HISTORY_BASED,
  83. #ifdef STARPU_ATLAS
  84. .symbol = STARPU_LU_STR(lu_model_22_atlas)
  85. #elif defined(STARPU_GOTO)
  86. .symbol = STARPU_LU_STR(lu_model_22_goto)
  87. #else
  88. .symbol = STARPU_LU_STR(lu_model_22)
  89. #endif
  90. };
  91. #ifdef STARPU_USE_CUDA
  92. static int can_execute(unsigned workerid, struct starpu_task *task, unsigned nimpl)
  93. {
  94. if (starpu_worker_get_type(workerid) == STARPU_CPU_WORKER)
  95. return 1;
  96. #ifdef STARPU_SIMGRID
  97. /* We don't know, let's assume it can */
  98. return 1;
  99. #else
  100. /* Cuda device */
  101. const struct cudaDeviceProp *props;
  102. props = starpu_cuda_get_device_properties(workerid);
  103. if (props->major >= 2 || props->minor >= 3)
  104. {
  105. /* At least compute capability 1.3, supports doubles */
  106. return 1;
  107. }
  108. else
  109. {
  110. /* Old card does not support doubles */
  111. return 0;
  112. }
  113. #endif
  114. }
  115. #endif
  116. #define STRINGIFY_(x) #x
  117. #define STRINGIFY(x) STRINGIFY_(x)
  118. struct starpu_codelet cl22 =
  119. {
  120. .where = STARPU_CPU|STARPU_CUDA,
  121. .cpu_funcs = {STARPU_LU(cpu_u22)},
  122. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_u22))},
  123. #ifdef STARPU_USE_CUDA
  124. .cuda_funcs = {STARPU_LU(cublas_u22)},
  125. CAN_EXECUTE
  126. #elif defined(STARPU_SIMGRID)
  127. .cuda_funcs = {(void*)1},
  128. #endif
  129. .cuda_flags = {STARPU_CUDA_ASYNC},
  130. .nbuffers = 3,
  131. .modes = {STARPU_R, STARPU_R, STARPU_RW},
  132. .model = &STARPU_LU(model_22)
  133. };
  134. /*
  135. * U12
  136. */
  137. static inline void STARPU_LU(common_u12)(void *descr[],
  138. int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  139. {
  140. TYPE *sub11;
  141. TYPE *sub12;
  142. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  143. sub12 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  144. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  145. unsigned ld12 = STARPU_MATRIX_GET_LD(descr[1]);
  146. unsigned nx12 = STARPU_MATRIX_GET_NX(descr[1]);
  147. unsigned ny12 = STARPU_MATRIX_GET_NY(descr[1]);
  148. #ifdef STARPU_USE_CUDA
  149. cublasStatus status;
  150. cudaError_t cures;
  151. #endif
  152. /* solve L11 U12 = A12 (find U12) */
  153. switch (s)
  154. {
  155. case 0:
  156. CPU_TRSM("L", "L", "N", "N", nx12, ny12,
  157. (TYPE)1.0, sub11, ld11, sub12, ld12);
  158. break;
  159. #ifdef STARPU_USE_CUDA
  160. case 1:
  161. CUBLAS_TRSM('L', 'L', 'N', 'N', ny12, nx12,
  162. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE*)sub11, ld11, (CUBLAS_TYPE*)sub12, ld12);
  163. status = cublasGetError();
  164. if (STARPU_UNLIKELY(status != CUBLAS_STATUS_SUCCESS))
  165. STARPU_CUBLAS_REPORT_ERROR(status);
  166. break;
  167. #endif
  168. default:
  169. STARPU_ABORT();
  170. break;
  171. }
  172. }
  173. void STARPU_LU(cpu_u12)(void *descr[], void *_args)
  174. {
  175. STARPU_LU(common_u12)(descr, 0, _args);
  176. }
  177. #ifdef STARPU_USE_CUDA
  178. void STARPU_LU(cublas_u12)(void *descr[], void *_args)
  179. {
  180. STARPU_LU(common_u12)(descr, 1, _args);
  181. }
  182. #endif /* STARPU_USE_CUDA */
  183. static struct starpu_perfmodel STARPU_LU(model_12) =
  184. {
  185. .type = STARPU_HISTORY_BASED,
  186. #ifdef STARPU_ATLAS
  187. .symbol = STARPU_LU_STR(lu_model_12_atlas)
  188. #elif defined(STARPU_GOTO)
  189. .symbol = STARPU_LU_STR(lu_model_12_goto)
  190. #else
  191. .symbol = STARPU_LU_STR(lu_model_12)
  192. #endif
  193. };
  194. struct starpu_codelet cl12 =
  195. {
  196. .where = STARPU_CPU|STARPU_CUDA,
  197. .cpu_funcs = {STARPU_LU(cpu_u12)},
  198. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_u12))},
  199. #ifdef STARPU_USE_CUDA
  200. .cuda_funcs = {STARPU_LU(cublas_u12)},
  201. CAN_EXECUTE
  202. #elif defined(STARPU_SIMGRID)
  203. .cuda_funcs = {(void*)1},
  204. #endif
  205. .cuda_flags = {STARPU_CUDA_ASYNC},
  206. .nbuffers = 2,
  207. .modes = {STARPU_R, STARPU_RW},
  208. .model = &STARPU_LU(model_12)
  209. };
  210. /*
  211. * U21
  212. */
  213. static inline void STARPU_LU(common_u21)(void *descr[],
  214. int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  215. {
  216. TYPE *sub11;
  217. TYPE *sub21;
  218. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  219. sub21 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[1]);
  220. unsigned ld11 = STARPU_MATRIX_GET_LD(descr[0]);
  221. unsigned ld21 = STARPU_MATRIX_GET_LD(descr[1]);
  222. unsigned nx21 = STARPU_MATRIX_GET_NX(descr[1]);
  223. unsigned ny21 = STARPU_MATRIX_GET_NY(descr[1]);
  224. #ifdef STARPU_USE_CUDA
  225. cublasStatus status;
  226. #endif
  227. switch (s)
  228. {
  229. case 0:
  230. CPU_TRSM("R", "U", "N", "U", nx21, ny21,
  231. (TYPE)1.0, sub11, ld11, sub21, ld21);
  232. break;
  233. #ifdef STARPU_USE_CUDA
  234. case 1:
  235. CUBLAS_TRSM('R', 'U', 'N', 'U', ny21, nx21,
  236. *(CUBLAS_TYPE*)&p1, (CUBLAS_TYPE*)sub11, ld11, (CUBLAS_TYPE*)sub21, ld21);
  237. status = cublasGetError();
  238. if (status != CUBLAS_STATUS_SUCCESS)
  239. STARPU_CUBLAS_REPORT_ERROR(status);
  240. break;
  241. #endif
  242. default:
  243. STARPU_ABORT();
  244. break;
  245. }
  246. }
  247. void STARPU_LU(cpu_u21)(void *descr[], void *_args)
  248. {
  249. STARPU_LU(common_u21)(descr, 0, _args);
  250. }
  251. #ifdef STARPU_USE_CUDA
  252. void STARPU_LU(cublas_u21)(void *descr[], void *_args)
  253. {
  254. STARPU_LU(common_u21)(descr, 1, _args);
  255. }
  256. #endif
  257. static struct starpu_perfmodel STARPU_LU(model_21) =
  258. {
  259. .type = STARPU_HISTORY_BASED,
  260. #ifdef STARPU_ATLAS
  261. .symbol = STARPU_LU_STR(lu_model_21_atlas)
  262. #elif defined(STARPU_GOTO)
  263. .symbol = STARPU_LU_STR(lu_model_21_goto)
  264. #else
  265. .symbol = STARPU_LU_STR(lu_model_21)
  266. #endif
  267. };
  268. struct starpu_codelet cl21 =
  269. {
  270. .where = STARPU_CPU|STARPU_CUDA,
  271. .cpu_funcs = {STARPU_LU(cpu_u21)},
  272. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_u21))},
  273. #ifdef STARPU_USE_CUDA
  274. .cuda_funcs = {STARPU_LU(cublas_u21)},
  275. CAN_EXECUTE
  276. #elif defined(STARPU_SIMGRID)
  277. .cuda_funcs = {(void*)1},
  278. #endif
  279. .cuda_flags = {STARPU_CUDA_ASYNC},
  280. .nbuffers = 2,
  281. .modes = {STARPU_R, STARPU_RW},
  282. .model = &STARPU_LU(model_21)
  283. };
  284. /*
  285. * U11
  286. */
  287. static inline void STARPU_LU(common_u11)(void *descr[],
  288. int s, STARPU_ATTRIBUTE_UNUSED void *_args)
  289. {
  290. TYPE *sub11;
  291. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  292. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  293. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  294. unsigned long z;
  295. switch (s)
  296. {
  297. case 0:
  298. for (z = 0; z < nx; z++)
  299. {
  300. TYPE pivot;
  301. pivot = sub11[z+z*ld];
  302. STARPU_ASSERT(fpclassify(pivot) != FP_ZERO);
  303. CPU_SCAL(nx - z - 1, (1.0/pivot), &sub11[z+(z+1)*ld], ld);
  304. CPU_GER(nx - z - 1, nx - z - 1, -1.0,
  305. &sub11[(z+1)+z*ld], 1,
  306. &sub11[z+(z+1)*ld], ld,
  307. &sub11[(z+1) + (z+1)*ld],ld);
  308. }
  309. break;
  310. #ifdef STARPU_USE_CUDA
  311. case 1:
  312. for (z = 0; z < nx; z++)
  313. {
  314. TYPE pivot;
  315. TYPE inv_pivot;
  316. cudaMemcpyAsync(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  317. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  318. STARPU_ASSERT(fpclassify(pivot) != FP_ZERO);
  319. inv_pivot = 1.0/pivot;
  320. CUBLAS_SCAL(nx - z - 1, *(CUBLAS_TYPE*)&inv_pivot, (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld);
  321. CUBLAS_GER(nx - z - 1, nx - z - 1, *(CUBLAS_TYPE*)&m1,
  322. (CUBLAS_TYPE*)&sub11[(z+1)+z*ld], 1,
  323. (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld,
  324. (CUBLAS_TYPE*)&sub11[(z+1) + (z+1)*ld],ld);
  325. }
  326. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  327. break;
  328. #endif
  329. default:
  330. STARPU_ABORT();
  331. break;
  332. }
  333. }
  334. void STARPU_LU(cpu_u11)(void *descr[], void *_args)
  335. {
  336. STARPU_LU(common_u11)(descr, 0, _args);
  337. }
  338. #ifdef STARPU_USE_CUDA
  339. void STARPU_LU(cublas_u11)(void *descr[], void *_args)
  340. {
  341. STARPU_LU(common_u11)(descr, 1, _args);
  342. }
  343. #endif /* STARPU_USE_CUDA */
  344. static struct starpu_perfmodel STARPU_LU(model_11) =
  345. {
  346. .type = STARPU_HISTORY_BASED,
  347. #ifdef STARPU_ATLAS
  348. .symbol = STARPU_LU_STR(lu_model_11_atlas)
  349. #elif defined(STARPU_GOTO)
  350. .symbol = STARPU_LU_STR(lu_model_11_goto)
  351. #else
  352. .symbol = STARPU_LU_STR(lu_model_11)
  353. #endif
  354. };
  355. struct starpu_codelet cl11 =
  356. {
  357. .where = STARPU_CPU|STARPU_CUDA,
  358. .cpu_funcs = {STARPU_LU(cpu_u11)},
  359. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_u11))},
  360. #ifdef STARPU_USE_CUDA
  361. .cuda_funcs = {STARPU_LU(cublas_u11)},
  362. CAN_EXECUTE
  363. #elif defined(STARPU_SIMGRID)
  364. .cuda_funcs = {(void*)1},
  365. #endif
  366. .nbuffers = 1,
  367. .modes = {STARPU_RW},
  368. .model = &STARPU_LU(model_11)
  369. };
  370. /*
  371. * U11 with pivoting
  372. */
  373. static inline void STARPU_LU(common_u11_pivot)(void *descr[],
  374. int s, void *_args)
  375. {
  376. TYPE *sub11;
  377. sub11 = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  378. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  379. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  380. unsigned long z;
  381. struct piv_s *piv = _args;
  382. unsigned *ipiv = piv->piv;
  383. unsigned first = piv->first;
  384. switch (s)
  385. {
  386. case 0:
  387. for (z = 0; z < nx; z++)
  388. {
  389. TYPE pivot;
  390. pivot = sub11[z+z*ld];
  391. if (fabs((double)(pivot)) < PIVOT_THRESHHOLD)
  392. {
  393. /* find the pivot */
  394. int piv_ind = CPU_IAMAX(nx - z, &sub11[z*(ld+1)], ld);
  395. ipiv[z + first] = piv_ind + z + first;
  396. /* swap if needed */
  397. if (piv_ind != 0)
  398. {
  399. CPU_SWAP(nx, &sub11[z*ld], 1, &sub11[(z+piv_ind)*ld], 1);
  400. }
  401. pivot = sub11[z+z*ld];
  402. }
  403. STARPU_ASSERT(pivot != 0.0);
  404. CPU_SCAL(nx - z - 1, (1.0/pivot), &sub11[z+(z+1)*ld], ld);
  405. CPU_GER(nx - z - 1, nx - z - 1, -1.0,
  406. &sub11[(z+1)+z*ld], 1,
  407. &sub11[z+(z+1)*ld], ld,
  408. &sub11[(z+1) + (z+1)*ld],ld);
  409. }
  410. break;
  411. #ifdef STARPU_USE_CUDA
  412. case 1:
  413. for (z = 0; z < nx; z++)
  414. {
  415. TYPE pivot;
  416. TYPE inv_pivot;
  417. cudaMemcpyAsync(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  418. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  419. if (fabs((double)(pivot)) < PIVOT_THRESHHOLD)
  420. {
  421. /* find the pivot */
  422. int piv_ind = CUBLAS_IAMAX(nx - z, (CUBLAS_TYPE*)&sub11[z*(ld+1)], ld) - 1;
  423. ipiv[z + first] = piv_ind + z + first;
  424. /* swap if needed */
  425. if (piv_ind != 0)
  426. {
  427. CUBLAS_SWAP(nx, (CUBLAS_TYPE*)&sub11[z*ld], 1, (CUBLAS_TYPE*)&sub11[(z+piv_ind)*ld], 1);
  428. }
  429. cudaMemcpyAsync(&pivot, &sub11[z+z*ld], sizeof(TYPE), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  430. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  431. }
  432. STARPU_ASSERT(pivot != 0.0);
  433. inv_pivot = 1.0/pivot;
  434. CUBLAS_SCAL(nx - z - 1, *(CUBLAS_TYPE*)&inv_pivot, (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld);
  435. CUBLAS_GER(nx - z - 1, nx - z - 1, *(CUBLAS_TYPE*)&m1,
  436. (CUBLAS_TYPE*)&sub11[(z+1)+z*ld], 1,
  437. (CUBLAS_TYPE*)&sub11[z+(z+1)*ld], ld,
  438. (CUBLAS_TYPE*)&sub11[(z+1) + (z+1)*ld],ld);
  439. }
  440. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  441. break;
  442. #endif
  443. default:
  444. STARPU_ABORT();
  445. break;
  446. }
  447. }
  448. void STARPU_LU(cpu_u11_pivot)(void *descr[], void *_args)
  449. {
  450. STARPU_LU(common_u11_pivot)(descr, 0, _args);
  451. }
  452. #ifdef STARPU_USE_CUDA
  453. void STARPU_LU(cublas_u11_pivot)(void *descr[], void *_args)
  454. {
  455. STARPU_LU(common_u11_pivot)(descr, 1, _args);
  456. }
  457. #endif /* STARPU_USE_CUDA */
  458. static struct starpu_perfmodel STARPU_LU(model_11_pivot) =
  459. {
  460. .type = STARPU_HISTORY_BASED,
  461. #ifdef STARPU_ATLAS
  462. .symbol = STARPU_LU_STR(lu_model_11_pivot_atlas)
  463. #elif defined(STARPU_GOTO)
  464. .symbol = STARPU_LU_STR(lu_model_11_pivot_goto)
  465. #else
  466. .symbol = STARPU_LU_STR(lu_model_11_pivot)
  467. #endif
  468. };
  469. struct starpu_codelet cl11_pivot =
  470. {
  471. .where = STARPU_CPU|STARPU_CUDA,
  472. .cpu_funcs = {STARPU_LU(cpu_u11_pivot)},
  473. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_u11_pivot))},
  474. #ifdef STARPU_USE_CUDA
  475. .cuda_funcs = {STARPU_LU(cublas_u11_pivot)},
  476. CAN_EXECUTE
  477. #elif defined(STARPU_SIMGRID)
  478. .cuda_funcs = {(void*)1},
  479. #endif
  480. .nbuffers = 1,
  481. .modes = {STARPU_RW},
  482. .model = &STARPU_LU(model_11_pivot)
  483. };
  484. /*
  485. * Pivoting
  486. */
  487. static inline void STARPU_LU(common_pivot)(void *descr[],
  488. int s, void *_args)
  489. {
  490. TYPE *matrix;
  491. matrix = (TYPE *)STARPU_MATRIX_GET_PTR(descr[0]);
  492. unsigned long nx = STARPU_MATRIX_GET_NX(descr[0]);
  493. unsigned long ld = STARPU_MATRIX_GET_LD(descr[0]);
  494. unsigned row;
  495. struct piv_s *piv = _args;
  496. unsigned *ipiv = piv->piv;
  497. unsigned first = piv->first;
  498. switch (s)
  499. {
  500. case 0:
  501. for (row = 0; row < nx; row++)
  502. {
  503. unsigned rowpiv = ipiv[row+first] - first;
  504. if (rowpiv != row)
  505. {
  506. CPU_SWAP(nx, &matrix[row*ld], 1, &matrix[rowpiv*ld], 1);
  507. }
  508. }
  509. break;
  510. #ifdef STARPU_USE_CUDA
  511. case 1:
  512. for (row = 0; row < nx; row++)
  513. {
  514. unsigned rowpiv = ipiv[row+first] - first;
  515. if (rowpiv != row)
  516. {
  517. CUBLAS_SWAP(nx, (CUBLAS_TYPE*)&matrix[row*ld], 1, (CUBLAS_TYPE*)&matrix[rowpiv*ld], 1);
  518. }
  519. }
  520. break;
  521. #endif
  522. default:
  523. STARPU_ABORT();
  524. break;
  525. }
  526. }
  527. void STARPU_LU(cpu_pivot)(void *descr[], void *_args)
  528. {
  529. STARPU_LU(common_pivot)(descr, 0, _args);
  530. }
  531. #ifdef STARPU_USE_CUDA
  532. void STARPU_LU(cublas_pivot)(void *descr[], void *_args)
  533. {
  534. STARPU_LU(common_pivot)(descr, 1, _args);
  535. }
  536. #endif /* STARPU_USE_CUDA */
  537. static struct starpu_perfmodel STARPU_LU(model_pivot) =
  538. {
  539. .type = STARPU_HISTORY_BASED,
  540. #ifdef STARPU_ATLAS
  541. .symbol = STARPU_LU_STR(lu_model_pivot_atlas)
  542. #elif defined(STARPU_GOTO)
  543. .symbol = STARPU_LU_STR(lu_model_pivot_goto)
  544. #else
  545. .symbol = STARPU_LU_STR(lu_model_pivot)
  546. #endif
  547. };
  548. struct starpu_codelet cl_pivot =
  549. {
  550. .where = STARPU_CPU|STARPU_CUDA,
  551. .cpu_funcs = {STARPU_LU(cpu_pivot)},
  552. .cpu_funcs_name = {STRINGIFY(STARPU_LU(cpu_pivot))},
  553. #ifdef STARPU_USE_CUDA
  554. .cuda_funcs = {STARPU_LU(cublas_pivot)},
  555. CAN_EXECUTE
  556. #elif defined(STARPU_SIMGRID)
  557. .cuda_funcs = {(void*)1},
  558. #endif
  559. .cuda_flags = {STARPU_CUDA_ASYNC},
  560. .nbuffers = 1,
  561. .modes = {STARPU_RW},
  562. .model = &STARPU_LU(model_pivot)
  563. };