pi_redux.c 10 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2010-2013 Université de Bordeaux 1
  4. *
  5. * StarPU is free software; you can redistribute it and/or modify
  6. * it under the terms of the GNU Lesser General Public License as published by
  7. * the Free Software Foundation; either version 2.1 of the License, or (at
  8. * your option) any later version.
  9. *
  10. * StarPU is distributed in the hope that it will be useful, but
  11. * WITHOUT ANY WARRANTY; without even the implied warranty of
  12. * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.
  13. *
  14. * See the GNU Lesser General Public License in COPYING.LGPL for more details.
  15. */
  16. #include <starpu.h>
  17. #include <stdlib.h>
  18. #include <sys/time.h>
  19. #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
  20. #define PI 3.14159265358979323846
  21. #if defined(STARPU_USE_CUDA) && !defined(STARPU_HAVE_CURAND)
  22. #warning CURAND is required to run that example on CUDA devices
  23. #endif
  24. #ifdef STARPU_HAVE_CURAND
  25. #include <cuda.h>
  26. #include <curand.h>
  27. #endif
  28. static unsigned long long nshot_per_task = 16*1024*1024ULL;
  29. /* default value */
  30. static unsigned long ntasks = 1024;
  31. static unsigned long ntasks_warmup = 0;
  32. static unsigned use_redux = 1;
  33. static unsigned do_warmup = 0;
  34. /*
  35. * Initialization of the Random Number Generators (RNG)
  36. */
  37. #ifdef STARPU_HAVE_CURAND
  38. /* RNG for the CURAND library */
  39. static curandGenerator_t curandgens[STARPU_NMAXWORKERS];
  40. #endif
  41. /* state for the erand48 function : note the huge padding to avoid false-sharing */
  42. #define PADDING 1024
  43. static unsigned short xsubi[STARPU_NMAXWORKERS*PADDING];
  44. static starpu_drand48_data randbuffer[STARPU_NMAXWORKERS*PADDING];
  45. /* Function to initialize the random number generator in the current worker */
  46. static void init_rng(void *arg __attribute__((unused)))
  47. {
  48. #ifdef STARPU_HAVE_CURAND
  49. curandStatus_t res;
  50. #endif
  51. int workerid = starpu_worker_get_id();
  52. switch (starpu_worker_get_type(workerid))
  53. {
  54. case STARPU_CPU_WORKER:
  55. /* create a seed */
  56. starpu_srand48_r((long int)workerid, &randbuffer[PADDING*workerid]);
  57. xsubi[0 + PADDING*workerid] = (unsigned short)workerid;
  58. xsubi[1 + PADDING*workerid] = (unsigned short)workerid;
  59. xsubi[2 + PADDING*workerid] = (unsigned short)workerid;
  60. break;
  61. #ifdef STARPU_HAVE_CURAND
  62. case STARPU_CUDA_WORKER:
  63. /* Create a RNG */
  64. res = curandCreateGenerator(&curandgens[workerid],
  65. CURAND_RNG_PSEUDO_DEFAULT);
  66. STARPU_ASSERT(res == CURAND_STATUS_SUCCESS);
  67. /* Seed it with worker's id */
  68. res = curandSetPseudoRandomGeneratorSeed(curandgens[workerid],
  69. (unsigned long long)workerid);
  70. STARPU_ASSERT(res == CURAND_STATUS_SUCCESS);
  71. break;
  72. #endif
  73. default:
  74. STARPU_ABORT();
  75. break;
  76. }
  77. }
  78. /* The amount of work does not depend on the data size at all :) */
  79. static size_t size_base(struct starpu_task *task, unsigned nimpl)
  80. {
  81. return nshot_per_task;
  82. }
  83. static void parse_args(int argc, char **argv)
  84. {
  85. int i;
  86. for (i = 1; i < argc; i++)
  87. {
  88. if (strcmp(argv[i], "-ntasks") == 0)
  89. {
  90. char *argptr;
  91. ntasks = strtol(argv[++i], &argptr, 10);
  92. }
  93. if (strcmp(argv[i], "-nshot") == 0)
  94. {
  95. char *argptr;
  96. nshot_per_task = strtol(argv[++i], &argptr, 10);
  97. }
  98. if (strcmp(argv[i], "-noredux") == 0)
  99. {
  100. use_redux = 0;
  101. }
  102. if (strcmp(argv[i], "-warmup") == 0)
  103. {
  104. do_warmup = 1;
  105. ntasks_warmup = 8; /* arbitrary number of warmup tasks */
  106. }
  107. if (strcmp(argv[i], "-h") == 0 || strcmp(argv[i], "--help") == 0)
  108. {
  109. fprintf(stderr, "Usage: %s [-ntasks n] [-noredux] [-warmup] [-h]\n", argv[0]);
  110. exit(-1);
  111. }
  112. }
  113. }
  114. /*
  115. * Monte-carlo kernel
  116. */
  117. static void pi_func_cpu(void *descr[], void *cl_arg __attribute__ ((unused)))
  118. {
  119. int workerid = starpu_worker_get_id();
  120. unsigned short *worker_xsub;
  121. worker_xsub = &xsubi[PADDING*workerid];
  122. struct drand48_data *buffer;
  123. buffer = &randbuffer[PADDING*workerid];
  124. unsigned long local_cnt = 0;
  125. /* Fill the scratchpad with random numbers */
  126. unsigned i;
  127. for (i = 0; i < nshot_per_task; i++)
  128. {
  129. double randx, randy;
  130. starpu_erand48_r(worker_xsub, buffer, &randx);
  131. starpu_erand48_r(worker_xsub, buffer, &randy);
  132. double x = (2.0*randx - 1.0);
  133. double y = (2.0*randy - 1.0);
  134. double dist = x*x + y*y;
  135. if (dist < 1.0)
  136. local_cnt++;
  137. }
  138. /* Put the contribution of that task into the counter */
  139. unsigned long *cnt = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[1]);
  140. *cnt = *cnt + local_cnt;
  141. }
  142. extern void pi_redux_cuda_kernel(float *x, float *y, unsigned n, unsigned long *shot_cnt);
  143. #ifdef STARPU_HAVE_CURAND
  144. static void pi_func_cuda(void *descr[], void *cl_arg __attribute__ ((unused)))
  145. {
  146. curandStatus_t res;
  147. int workerid = starpu_worker_get_id();
  148. /* CURAND is a bit silly: it assumes that any error is fatal. Calling
  149. * cudaGetLastError resets the last error value. */
  150. (void) cudaGetLastError();
  151. /* Fill the scratchpad with random numbers. Note that both x and y
  152. * arrays are in stored the same vector. */
  153. float *scratchpad_xy = (float *)STARPU_VECTOR_GET_PTR(descr[0]);
  154. res = curandGenerateUniform(curandgens[workerid], scratchpad_xy, 2*nshot_per_task);
  155. STARPU_ASSERT(res == CURAND_STATUS_SUCCESS);
  156. float *x = &scratchpad_xy[0];
  157. float *y = &scratchpad_xy[nshot_per_task];
  158. unsigned long *shot_cnt = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[1]);
  159. pi_redux_cuda_kernel(x, y, nshot_per_task, shot_cnt);
  160. }
  161. #endif
  162. static struct starpu_perfmodel pi_model =
  163. {
  164. .type = STARPU_HISTORY_BASED,
  165. .size_base = size_base,
  166. .symbol = "monte_carlo_pi_scratch"
  167. };
  168. static struct starpu_codelet pi_cl =
  169. {
  170. .cpu_funcs = {pi_func_cpu, NULL},
  171. #ifdef STARPU_HAVE_CURAND
  172. .cuda_funcs = {pi_func_cuda, NULL},
  173. #endif
  174. .nbuffers = 2,
  175. .modes = {STARPU_SCRATCH, STARPU_RW},
  176. .model = &pi_model
  177. };
  178. static struct starpu_perfmodel pi_model_redux =
  179. {
  180. .type = STARPU_HISTORY_BASED,
  181. .size_base = size_base,
  182. .symbol = "monte_carlo_pi_scratch_redux"
  183. };
  184. static struct starpu_codelet pi_cl_redux =
  185. {
  186. .cpu_funcs = {pi_func_cpu, NULL},
  187. #ifdef STARPU_HAVE_CURAND
  188. .cuda_funcs = {pi_func_cuda, NULL},
  189. #endif
  190. .nbuffers = 2,
  191. .modes = {STARPU_SCRATCH, STARPU_REDUX},
  192. .model = &pi_model_redux
  193. };
  194. /*
  195. * Codelets to implement reduction
  196. */
  197. static void init_cpu_func(void *descr[], void *cl_arg)
  198. {
  199. unsigned long *val = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[0]);
  200. *val = 0;
  201. }
  202. #ifdef STARPU_HAVE_CURAND
  203. static void init_cuda_func(void *descr[], void *cl_arg)
  204. {
  205. unsigned long *val = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[0]);
  206. cudaMemsetAsync(val, 0, sizeof(unsigned long), starpu_cuda_get_local_stream());
  207. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  208. }
  209. #endif
  210. static struct starpu_codelet init_codelet =
  211. {
  212. .cpu_funcs = {init_cpu_func, NULL},
  213. #ifdef STARPU_HAVE_CURAND
  214. .cuda_funcs = {init_cuda_func, NULL},
  215. #endif
  216. .modes = {STARPU_W},
  217. .nbuffers = 1
  218. };
  219. #ifdef STARPU_HAVE_CURAND
  220. /* Dummy implementation of the addition of two unsigned longs in CUDA */
  221. static void redux_cuda_func(void *descr[], void *cl_arg)
  222. {
  223. unsigned long *d_a = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[0]);
  224. unsigned long *d_b = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[1]);
  225. unsigned long h_a, h_b;
  226. cudaMemcpyAsync(&h_a, d_a, sizeof(h_a), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  227. cudaMemcpyAsync(&h_b, d_b, sizeof(h_b), cudaMemcpyDeviceToHost, starpu_cuda_get_local_stream());
  228. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  229. h_a += h_b;
  230. cudaMemcpyAsync(d_a, &h_a, sizeof(h_a), cudaMemcpyHostToDevice, starpu_cuda_get_local_stream());
  231. cudaStreamSynchronize(starpu_cuda_get_local_stream());
  232. }
  233. #endif
  234. static void redux_cpu_func(void *descr[], void *cl_arg)
  235. {
  236. unsigned long *a = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[0]);
  237. unsigned long *b = (unsigned long *)STARPU_VARIABLE_GET_PTR(descr[1]);
  238. *a = *a + *b;
  239. }
  240. static struct starpu_codelet redux_codelet =
  241. {
  242. .cpu_funcs = {redux_cpu_func, NULL},
  243. #ifdef STARPU_HAVE_CURAND
  244. .cuda_funcs = {redux_cuda_func, NULL},
  245. #endif
  246. .modes = {STARPU_RW, STARPU_R},
  247. .nbuffers = 2
  248. };
  249. /*
  250. * Main program
  251. */
  252. int main(int argc, char **argv)
  253. {
  254. unsigned i;
  255. int ret;
  256. parse_args(argc, argv);
  257. ret = starpu_init(NULL);
  258. if (ret == -ENODEV) return 77;
  259. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  260. /* Launch a Random Number Generator (RNG) on each worker */
  261. starpu_execute_on_each_worker(init_rng, NULL, STARPU_CPU|STARPU_CUDA);
  262. /* Create a scratchpad data */
  263. starpu_data_handle_t xy_scratchpad_handle;
  264. starpu_vector_data_register(&xy_scratchpad_handle, -1, (uintptr_t)NULL,
  265. 2*nshot_per_task, sizeof(float));
  266. /* Create a variable that will be used to count the number of shots
  267. * that actually hit the unit circle when shooting randomly in
  268. * [-1,1]^2. */
  269. unsigned long shot_cnt = 0;
  270. starpu_data_handle_t shot_cnt_handle;
  271. starpu_variable_data_register(&shot_cnt_handle, 0,
  272. (uintptr_t)&shot_cnt, sizeof(shot_cnt));
  273. starpu_data_set_reduction_methods(shot_cnt_handle,
  274. &redux_codelet, &init_codelet);
  275. struct timeval start;
  276. struct timeval end;
  277. for (i = 0; i < ntasks_warmup; i++)
  278. {
  279. struct starpu_task *task = starpu_task_create();
  280. task->cl = use_redux?&pi_cl_redux:&pi_cl;
  281. task->handles[0] = xy_scratchpad_handle;
  282. task->handles[1] = shot_cnt_handle;
  283. ret = starpu_task_submit(task);
  284. STARPU_ASSERT(!ret);
  285. }
  286. gettimeofday(&start, NULL);
  287. for (i = 0; i < ntasks; i++)
  288. {
  289. struct starpu_task *task = starpu_task_create();
  290. task->cl = use_redux?&pi_cl_redux:&pi_cl;
  291. task->handles[0] = xy_scratchpad_handle;
  292. task->handles[1] = shot_cnt_handle;
  293. ret = starpu_task_submit(task);
  294. STARPU_ASSERT(!ret);
  295. }
  296. starpu_data_unregister(shot_cnt_handle);
  297. starpu_data_unregister(xy_scratchpad_handle);
  298. gettimeofday(&end, NULL);
  299. double timing = (double)((end.tv_sec - start.tv_sec)*1000000 + (end.tv_usec - start.tv_usec));
  300. /* Total surface : Pi * r^ 2 = Pi*1^2, total square surface : 2^2 = 4,
  301. * probability to impact the disk: pi/4 */
  302. unsigned long total = (ntasks + ntasks_warmup)*nshot_per_task;
  303. double pi_approx = ((double)shot_cnt*4.0)/total;
  304. FPRINTF(stderr, "Reductions? %s\n", use_redux?"yes":"no");
  305. FPRINTF(stderr, "Pi approximation : %f (%ld / %ld)\n", pi_approx, shot_cnt, total);
  306. FPRINTF(stderr, "Error %e \n", pi_approx - PI);
  307. FPRINTF(stderr, "Total time : %f ms\n", timing/1000.0);
  308. FPRINTF(stderr, "Speed : %f GShot/s\n", total/(1e3*timing));
  309. starpu_shutdown();
  310. if (abs(pi_approx - PI) > 1.0)
  311. return 1;
  312. return 0;
  313. }