pipeline.c 6.1 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2012 Centre National de la Recherche Scientifique
  4. * Copyright (C) 2012 Université de Bordeaux 1
  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. * This examples shows how to submit a pipeline to StarPU with limited buffer
  19. * use, and avoiding submitted all the tasks at once.
  20. *
  21. * This is a dumb example pipeline, depicted here:
  22. *
  23. * x--\
  24. * >==axpy-->sum
  25. * y--/
  26. *
  27. * x and y produce vectors full of x and y values, axpy multiplies them, and sum
  28. * sums it up. We thus have 3 temporary buffers
  29. */
  30. #include <starpu.h>
  31. #include <stdint.h>
  32. #include <semaphore.h>
  33. #include <common/blas.h>
  34. #ifdef STARPU_USE_CUDA
  35. #include <cublas.h>
  36. #endif
  37. #define FPRINTF(ofile, fmt, args ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ##args); }} while(0)
  38. /* Vector size */
  39. #ifdef STARPU_SLOW_MACHINE
  40. #define N 16
  41. #else
  42. #define N 1048576
  43. #endif
  44. /* Number of iteration buffers, and thus overlapped pipeline iterations */
  45. #define K 16
  46. /* Number of concurrently submitted pipeline iterations */
  47. #define C 64
  48. /* Number of iterations */
  49. #define L 256
  50. /* X / Y codelets */
  51. void pipeline_cpu_x(void *descr[], void *args)
  52. {
  53. float x;
  54. float *val = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  55. int n = STARPU_VECTOR_GET_NX(descr[0]);
  56. int i;
  57. starpu_codelet_unpack_args(args, &x);
  58. for (i = 0; i < n ; i++)
  59. val[i] = x;
  60. }
  61. static struct starpu_perfmodel pipeline_model_x =
  62. {
  63. .type = STARPU_HISTORY_BASED,
  64. .symbol = "pipeline_model_x"
  65. };
  66. static struct starpu_codelet pipeline_codelet_x =
  67. {
  68. .where = STARPU_CPU,
  69. .cpu_funcs = {pipeline_cpu_x, NULL},
  70. .nbuffers = 1,
  71. .modes = {STARPU_W},
  72. .model = &pipeline_model_x
  73. };
  74. /* axpy codelets */
  75. void pipeline_cpu_axpy(void *descr[], void *arg)
  76. {
  77. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  78. float *y = (float *) STARPU_VECTOR_GET_PTR(descr[1]);
  79. int n = STARPU_VECTOR_GET_NX(descr[0]);
  80. SAXPY(n, 1., x, 1, y, 1);
  81. }
  82. #ifdef STARPU_USE_CUDA
  83. void pipeline_cublas_axpy(void *descr[], void *arg)
  84. {
  85. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  86. float *y = (float *) STARPU_VECTOR_GET_PTR(descr[1]);
  87. int n = STARPU_VECTOR_GET_NX(descr[0]);
  88. cublasSaxpy(n, 1., x, 1, y, 1);
  89. }
  90. #endif
  91. static struct starpu_perfmodel pipeline_model_axpy =
  92. {
  93. .type = STARPU_HISTORY_BASED,
  94. .symbol = "pipeline_model_axpy"
  95. };
  96. static struct starpu_codelet pipeline_codelet_axpy =
  97. {
  98. .where = STARPU_CPU
  99. #ifdef STARPU_USE_CUDA
  100. | STARPU_CUDA
  101. #endif
  102. ,
  103. .cpu_funcs = {pipeline_cpu_axpy, NULL},
  104. #ifdef STARPU_USE_CUDA
  105. .cuda_funcs = {pipeline_cublas_axpy, NULL},
  106. #endif
  107. .nbuffers = 2,
  108. .modes = {STARPU_R, STARPU_RW},
  109. .model = &pipeline_model_axpy
  110. };
  111. /* sum codelet */
  112. void pipeline_cpu_sum(void *descr[], void *_args)
  113. {
  114. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  115. int n = STARPU_VECTOR_GET_NX(descr[0]);
  116. float y;
  117. y = SASUM(n, x, 1);
  118. FPRINTF(stderr,"CPU finished with %f\n", y);
  119. }
  120. #ifdef STARPU_USE_CUDA
  121. void pipeline_cublas_sum(void *descr[], void *arg)
  122. {
  123. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  124. int n = STARPU_VECTOR_GET_NX(descr[0]);
  125. float y;
  126. y = cublasSasum(n, x, 1);
  127. FPRINTF(stderr,"CUBLAS finished with %f\n", y);
  128. }
  129. #endif
  130. static struct starpu_perfmodel pipeline_model_sum =
  131. {
  132. .type = STARPU_HISTORY_BASED,
  133. .symbol = "pipeline_model_sum"
  134. };
  135. static struct starpu_codelet pipeline_codelet_sum =
  136. {
  137. .where = STARPU_CPU
  138. #ifdef STARPU_USE_CUDA
  139. | STARPU_CUDA
  140. #endif
  141. ,
  142. .cpu_funcs = {pipeline_cpu_sum, NULL},
  143. #ifdef STARPU_USE_CUDA
  144. .cuda_funcs = {pipeline_cublas_sum, NULL},
  145. #endif
  146. .nbuffers = 1,
  147. .modes = {STARPU_R},
  148. .model = &pipeline_model_sum
  149. };
  150. int main(void)
  151. {
  152. int ret = 0;
  153. int k, l, c;
  154. starpu_data_handle_t buffersX[K], buffersY[K], buffersP[K];
  155. sem_t sems[C];
  156. ret = starpu_init(NULL);
  157. if (ret == -ENODEV)
  158. exit(77);
  159. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  160. starpu_helper_cublas_init();
  161. /* Initialize the K temporary buffers. No need to allocate it ourselves
  162. * Since it's the X and Y kernels which will fill the initial values. */
  163. for (k = 0; k < K; k++)
  164. {
  165. starpu_vector_data_register(&buffersX[k], -1, 0, N, sizeof(float));
  166. starpu_vector_data_register(&buffersY[k], -1, 0, N, sizeof(float));
  167. starpu_vector_data_register(&buffersP[k], -1, 0, N, sizeof(float));
  168. }
  169. /* Initialize way to wait for the C previous concurrent stages */
  170. for (c = 0; c < C; c++)
  171. sem_init(&sems[c], 0, 0);
  172. /* Submits the l pipeline stages */
  173. for (l = 0; l < L; l++)
  174. {
  175. float x = l;
  176. float y = 2*l;
  177. /* First wait for the C previous concurrent stages */
  178. if (l >= C)
  179. sem_wait(&sems[l%C]);
  180. /* Now submit the next stage */
  181. ret = starpu_insert_task(&pipeline_codelet_x,
  182. STARPU_W, buffersX[l%K],
  183. STARPU_VALUE, &x, sizeof(x),
  184. 0);
  185. if (ret == -ENODEV) goto enodev;
  186. STARPU_CHECK_RETURN_VALUE(ret, "starpu_insert_task x");
  187. ret = starpu_insert_task(&pipeline_codelet_x,
  188. STARPU_W, buffersY[l%K],
  189. STARPU_VALUE, &y, sizeof(y),
  190. 0);
  191. if (ret == -ENODEV) goto enodev;
  192. STARPU_CHECK_RETURN_VALUE(ret, "starpu_insert_task y");
  193. ret = starpu_insert_task(&pipeline_codelet_axpy,
  194. STARPU_R, buffersX[l%K],
  195. STARPU_RW, buffersY[l%K],
  196. 0);
  197. if (ret == -ENODEV) goto enodev;
  198. STARPU_CHECK_RETURN_VALUE(ret, "starpu_insert_task axpy");
  199. ret = starpu_insert_task(&pipeline_codelet_sum,
  200. STARPU_R, buffersY[l%K],
  201. STARPU_CALLBACK_WITH_ARG, (void (*)(void*))sem_post, &sems[l%C],
  202. 0);
  203. if (ret == -ENODEV) goto enodev;
  204. STARPU_CHECK_RETURN_VALUE(ret, "starpu_insert_task sum");
  205. }
  206. starpu_task_wait_for_all();
  207. enodev:
  208. for (k = 0; k < K; k++)
  209. {
  210. starpu_data_unregister(buffersX[k]);
  211. starpu_data_unregister(buffersY[k]);
  212. starpu_data_unregister(buffersP[k]);
  213. }
  214. starpu_shutdown();
  215. return (ret == -ENODEV ? 77 : 0);
  216. }