pipeline.c 6.3 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2012, 2013, 2014 CNRS
  4. * Copyright (C) 2012, 2014 Université de Bordeaux
  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, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
  38. /* Vector size */
  39. #ifdef STARPU_QUICK_CHECK
  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. .cpu_funcs = {pipeline_cpu_x},
  69. .cpu_funcs_name = {"pipeline_cpu_x"},
  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. STARPU_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. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  90. }
  91. #endif
  92. static struct starpu_perfmodel pipeline_model_axpy =
  93. {
  94. .type = STARPU_HISTORY_BASED,
  95. .symbol = "pipeline_model_axpy"
  96. };
  97. static struct starpu_codelet pipeline_codelet_axpy =
  98. {
  99. .cpu_funcs = {pipeline_cpu_axpy},
  100. .cpu_funcs_name = {"pipeline_cpu_axpy"},
  101. #ifdef STARPU_USE_CUDA
  102. .cuda_funcs = {pipeline_cublas_axpy},
  103. #endif
  104. .nbuffers = 2,
  105. .modes = {STARPU_R, STARPU_RW},
  106. .model = &pipeline_model_axpy
  107. };
  108. /* sum codelet */
  109. void pipeline_cpu_sum(void *descr[], void *_args)
  110. {
  111. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  112. int n = STARPU_VECTOR_GET_NX(descr[0]);
  113. float y;
  114. y = STARPU_SASUM(n, x, 1);
  115. FPRINTF(stderr,"CPU finished with %f\n", y);
  116. }
  117. #ifdef STARPU_USE_CUDA
  118. void pipeline_cublas_sum(void *descr[], void *arg)
  119. {
  120. float *x = (float *) STARPU_VECTOR_GET_PTR(descr[0]);
  121. int n = STARPU_VECTOR_GET_NX(descr[0]);
  122. float y;
  123. y = cublasSasum(n, x, 1);
  124. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  125. FPRINTF(stderr,"CUBLAS finished with %f\n", y);
  126. }
  127. #endif
  128. static struct starpu_perfmodel pipeline_model_sum =
  129. {
  130. .type = STARPU_HISTORY_BASED,
  131. .symbol = "pipeline_model_sum"
  132. };
  133. static struct starpu_codelet pipeline_codelet_sum =
  134. {
  135. .cpu_funcs = {pipeline_cpu_sum},
  136. .cpu_funcs_name = {"pipeline_cpu_sum"},
  137. #ifdef STARPU_USE_CUDA
  138. .cuda_funcs = {pipeline_cublas_sum},
  139. #endif
  140. .nbuffers = 1,
  141. .modes = {STARPU_R},
  142. .model = &pipeline_model_sum
  143. };
  144. int main(void)
  145. {
  146. int ret = 0;
  147. int k, l, c;
  148. starpu_data_handle_t buffersX[K], buffersY[K], buffersP[K];
  149. sem_t sems[C];
  150. ret = starpu_init(NULL);
  151. if (ret == -ENODEV)
  152. exit(77);
  153. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  154. starpu_cublas_init();
  155. /* Initialize the K temporary buffers. No need to allocate it ourselves
  156. * Since it's the X and Y kernels which will fill the initial values. */
  157. for (k = 0; k < K; k++)
  158. {
  159. starpu_vector_data_register(&buffersX[k], -1, 0, N, sizeof(float));
  160. starpu_vector_data_register(&buffersY[k], -1, 0, N, sizeof(float));
  161. starpu_vector_data_register(&buffersP[k], -1, 0, N, sizeof(float));
  162. }
  163. /* Initialize way to wait for the C previous concurrent stages */
  164. for (c = 0; c < C; c++)
  165. sem_init(&sems[c], 0, 0);
  166. /* Submits the l pipeline stages */
  167. for (l = 0; l < L; l++)
  168. {
  169. float x = l;
  170. float y = 2*l;
  171. /* First wait for the C previous concurrent stages */
  172. if (l >= C)
  173. sem_wait(&sems[l%C]);
  174. /* Now submit the next stage */
  175. ret = starpu_task_insert(&pipeline_codelet_x,
  176. STARPU_W, buffersX[l%K],
  177. STARPU_VALUE, &x, sizeof(x),
  178. STARPU_TAG_ONLY, (starpu_tag_t) (100*l),
  179. 0);
  180. if (ret == -ENODEV) goto enodev;
  181. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert x");
  182. ret = starpu_task_insert(&pipeline_codelet_x,
  183. STARPU_W, buffersY[l%K],
  184. STARPU_VALUE, &y, sizeof(y),
  185. STARPU_TAG_ONLY, (starpu_tag_t) (100*l+1),
  186. 0);
  187. if (ret == -ENODEV) goto enodev;
  188. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert y");
  189. ret = starpu_task_insert(&pipeline_codelet_axpy,
  190. STARPU_R, buffersX[l%K],
  191. STARPU_RW, buffersY[l%K],
  192. STARPU_TAG_ONLY, (starpu_tag_t) l,
  193. 0);
  194. if (ret == -ENODEV) goto enodev;
  195. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert axpy");
  196. ret = starpu_task_insert(&pipeline_codelet_sum,
  197. STARPU_R, buffersY[l%K],
  198. STARPU_CALLBACK_WITH_ARG, (void (*)(void*))sem_post, &sems[l%C],
  199. STARPU_TAG_ONLY, (starpu_tag_t) l,
  200. 0);
  201. if (ret == -ENODEV) goto enodev;
  202. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_insert sum");
  203. }
  204. starpu_task_wait_for_all();
  205. enodev:
  206. for (k = 0; k < K; k++)
  207. {
  208. starpu_data_unregister(buffersX[k]);
  209. starpu_data_unregister(buffersY[k]);
  210. starpu_data_unregister(buffersP[k]);
  211. }
  212. starpu_shutdown();
  213. return (ret == -ENODEV ? 77 : 0);
  214. }