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