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