shadow2d.c 8.7 KB

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  1. /* StarPU --- Runtime system for heterogeneous multicore architectures.
  2. *
  3. * Copyright (C) 2012-2014 Université de Bordeaux
  4. * Copyright (C) 2010, 2011, 2012, 2013, 2015, 2016 CNRS
  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 examplifies the use of the matrix shadow filters: a source "matrix" of
  19. * NX*NY elements (plus 2*NX*SHADOWX+2*NY*SHADOWY+4*SHADOWX*SHADOWY wrap-around
  20. * elements) is partitioned into matrices with some shadowing, and these are
  21. * copied into a destination "matrix2" of
  22. * NRPARTSX*NPARTSY*((NX/NPARTSX+2*SHADOWX)*(NY/NPARTSY+2*SHADOWY)) elements,
  23. * partitioned in the traditionnal way, thus showing how shadowing shows up.
  24. *
  25. * For instance, with NX=NY=8, SHADOWX=SHADOWY=1, and NPARTSX=NPARTSY=4:
  26. *
  27. * matrix
  28. * 0123456789
  29. * 1234567890
  30. * 2345678901
  31. * 3456789012
  32. * 4567890123
  33. * 5678901234
  34. * 6789012345
  35. * 7890123456
  36. * 8901234567
  37. * 9012345678
  38. *
  39. * is partitioned into 4*4 pieces:
  40. *
  41. * 0123 2345 4567 6789
  42. * 1234 3456 5678 7890
  43. * 2345 4567 6789 8901
  44. * 3456 5678 7890 9012
  45. *
  46. * 2345 4567 6789 8901
  47. * 3456 5678 7890 9012
  48. * 4567 6789 8901 0123
  49. * 5678 7890 9012 1234
  50. *
  51. * 4567 6789 8901 0123
  52. * 5678 7890 9012 1234
  53. * 6789 8901 0123 2345
  54. * 7890 9012 1234 3456
  55. *
  56. * 6789 8901 0123 2345
  57. * 7890 9012 1234 3456
  58. * 8901 0123 2345 4567
  59. * 9012 1234 3456 5678
  60. *
  61. * which are copied into the 4*4 destination subparts of matrix2, thus getting in
  62. * the end:
  63. *
  64. * 0123234545676789
  65. * 1234345656787890
  66. * 2345456767898901
  67. * 3456567878909012
  68. * 2345456767898901
  69. * 3456567878909012
  70. * 4567678989010123
  71. * 5678789090121234
  72. * 4567678989010123
  73. * 5678789090121234
  74. * 6789890101232345
  75. * 7890901212343456
  76. * 6789890101232345
  77. * 7890901212343456
  78. * 8901012323454567
  79. * 9012123434565678
  80. */
  81. #include <starpu.h>
  82. /* Shadow width */
  83. #define SHADOWX 3
  84. #define SHADOWY 2
  85. #define NX 20
  86. #define NY 30
  87. #define PARTSX 2
  88. #define PARTSY 3
  89. #define FPRINTF(ofile, fmt, ...) do { if (!getenv("STARPU_SSILENT")) {fprintf(ofile, fmt, ## __VA_ARGS__); }} while(0)
  90. void cpu_func(void *buffers[], void *cl_arg)
  91. {
  92. /* length of the shadowed source matrix */
  93. unsigned ld = STARPU_MATRIX_GET_LD(buffers[0]);
  94. unsigned n = STARPU_MATRIX_GET_NX(buffers[0]);
  95. unsigned m = STARPU_MATRIX_GET_NY(buffers[0]);
  96. /* local copy of the shadowed source matrix pointer */
  97. int *val = (int *)STARPU_MATRIX_GET_PTR(buffers[0]);
  98. /* length of the destination matrix */
  99. unsigned ld2 = STARPU_MATRIX_GET_LD(buffers[1]);
  100. unsigned n2 = STARPU_MATRIX_GET_NX(buffers[1]);
  101. unsigned m2 = STARPU_MATRIX_GET_NY(buffers[1]);
  102. /* local copy of the destination matrix pointer */
  103. int *val2 = (int *)STARPU_MATRIX_GET_PTR(buffers[1]);
  104. unsigned i, j;
  105. /* If things go right, sizes should match */
  106. STARPU_ASSERT(n == n2);
  107. STARPU_ASSERT(m == m2);
  108. for (j = 0; j < m; j++)
  109. for (i = 0; i < n; i++)
  110. val2[j*ld2+i] = val[j*ld+i];
  111. }
  112. #ifdef STARPU_USE_CUDA
  113. void cuda_func(void *buffers[], void *cl_arg)
  114. {
  115. cudaError_t cures;
  116. /* length of the shadowed source matrix */
  117. unsigned ld = STARPU_MATRIX_GET_LD(buffers[0]);
  118. unsigned n = STARPU_MATRIX_GET_NX(buffers[0]);
  119. unsigned m = STARPU_MATRIX_GET_NY(buffers[0]);
  120. /* local copy of the shadowed source matrix pointer */
  121. int *val = (int *)STARPU_MATRIX_GET_PTR(buffers[0]);
  122. /* length of the destination matrix */
  123. unsigned ld2 = STARPU_MATRIX_GET_LD(buffers[1]);
  124. unsigned n2 = STARPU_MATRIX_GET_NX(buffers[1]);
  125. unsigned m2 = STARPU_MATRIX_GET_NY(buffers[1]);
  126. /* local copy of the destination matrix pointer */
  127. int *val2 = (int *)STARPU_MATRIX_GET_PTR(buffers[1]);
  128. /* If things go right, sizes should match */
  129. STARPU_ASSERT(n == n2);
  130. STARPU_ASSERT(m == m2);
  131. cures = cudaMemcpy2DAsync(val2, ld2*sizeof(*val2), val, ld*sizeof(*val), n*sizeof(*val), m, cudaMemcpyDeviceToDevice, starpu_cuda_get_local_stream());
  132. if (STARPU_UNLIKELY(cures)) STARPU_CUDA_REPORT_ERROR(cures);
  133. }
  134. #endif
  135. int main(int argc, char **argv)
  136. {
  137. unsigned i, j, k, l;
  138. int matrix[NY + 2*SHADOWY][NX + 2*SHADOWX];
  139. int matrix2[NY + PARTSY*2*SHADOWY][NX + PARTSX*2*SHADOWX];
  140. starpu_data_handle_t handle, handle2;
  141. int ret;
  142. struct starpu_codelet cl =
  143. {
  144. .cpu_funcs = {cpu_func},
  145. .cpu_funcs_name = {"cpu_func"},
  146. #ifdef STARPU_USE_CUDA
  147. .cuda_funcs = {cuda_func},
  148. .cuda_flags = {STARPU_CUDA_ASYNC},
  149. #endif
  150. .nbuffers = 2,
  151. .modes = {STARPU_R, STARPU_W}
  152. };
  153. memset(matrix, -1, sizeof(matrix));
  154. for(j=1 ; j<=NY ; j++)
  155. for(i=1 ; i<=NX ; i++)
  156. matrix[SHADOWY+j-1][SHADOWX+i-1] = i+j;
  157. /* Copy borders */
  158. for (j = SHADOWY ; j<SHADOWY+NY ; j++)
  159. for(i=0 ; i<SHADOWX ; i++)
  160. {
  161. matrix[j][i] = matrix[j][i+NX];
  162. matrix[j][SHADOWX+NX+i] = matrix[j][SHADOWX+i];
  163. }
  164. for(j=0 ; j<SHADOWY ; j++)
  165. for(i=SHADOWX ; i<SHADOWX+NX ; i++)
  166. {
  167. matrix[j][i] = matrix[j+NY][i];
  168. matrix[SHADOWY+NY+j][i] = matrix[SHADOWY+j][i];
  169. }
  170. /* Copy corners */
  171. for(j=0 ; j<SHADOWY ; j++)
  172. for(i=0 ; i<SHADOWX ; i++)
  173. {
  174. matrix[j][i] = matrix[j+NY][i+NX];
  175. matrix[j][SHADOWX+NX+i] = matrix[j+NY][SHADOWX+i];
  176. matrix[SHADOWY+NY+j][i] = matrix[SHADOWY+j][i+NX];
  177. matrix[SHADOWY+NY+j][SHADOWX+NX+i] = matrix[SHADOWY+j][SHADOWX+i];
  178. }
  179. FPRINTF(stderr,"IN Matrix:\n");
  180. for(j=0 ; j<NY + 2*SHADOWY ; j++)
  181. {
  182. for(i=0 ; i<NX + 2*SHADOWX ; i++)
  183. FPRINTF(stderr, "%5d ", matrix[j][i]);
  184. FPRINTF(stderr,"\n");
  185. }
  186. FPRINTF(stderr,"\n");
  187. ret = starpu_init(NULL);
  188. if (ret == -ENODEV)
  189. exit(77);
  190. STARPU_CHECK_RETURN_VALUE(ret, "starpu_init");
  191. /* Declare source matrix to StarPU */
  192. starpu_matrix_data_register(&handle, STARPU_MAIN_RAM, (uintptr_t)matrix, NX + 2*SHADOWX, NX + 2*SHADOWX, NY + 2*SHADOWY, sizeof(matrix[0][0]));
  193. /* Declare destination matrix to StarPU */
  194. starpu_matrix_data_register(&handle2, STARPU_MAIN_RAM, (uintptr_t)matrix2, NX + PARTSX*2*SHADOWX, NX + PARTSX*2*SHADOWX, NY + PARTSY*2*SHADOWY, sizeof(matrix2[0][0]));
  195. /* Partition the source matrix in PARTSY*PARTSX sub-matrices with shadows */
  196. /* NOTE: the resulting handles should only be used in read-only mode,
  197. * as StarPU will not know how the overlapping parts would have to be
  198. * combined. */
  199. struct starpu_data_filter fy =
  200. {
  201. .filter_func = starpu_matrix_filter_vertical_block_shadow,
  202. .nchildren = PARTSY,
  203. .filter_arg_ptr = (void*)(uintptr_t) SHADOWY /* Shadow width */
  204. };
  205. struct starpu_data_filter fx =
  206. {
  207. .filter_func = starpu_matrix_filter_block_shadow,
  208. .nchildren = PARTSX,
  209. .filter_arg_ptr = (void*)(uintptr_t) SHADOWX /* Shadow width */
  210. };
  211. starpu_data_map_filters(handle, 2, &fy, &fx);
  212. /* Partition the destination matrix in PARTSY*PARTSX sub-matrices */
  213. struct starpu_data_filter fy2 =
  214. {
  215. .filter_func = starpu_matrix_filter_vertical_block,
  216. .nchildren = PARTSY,
  217. };
  218. struct starpu_data_filter fx2 =
  219. {
  220. .filter_func = starpu_matrix_filter_block,
  221. .nchildren = PARTSX,
  222. };
  223. starpu_data_map_filters(handle2, 2, &fy2, &fx2);
  224. /* Submit a task on each sub-matrix */
  225. for (j=0; j<PARTSY; j++)
  226. {
  227. for (i=0; i<PARTSX; i++)
  228. {
  229. starpu_data_handle_t sub_handle = starpu_data_get_sub_data(handle, 2, j, i);
  230. starpu_data_handle_t sub_handle2 = starpu_data_get_sub_data(handle2, 2, j, i);
  231. struct starpu_task *task = starpu_task_create();
  232. task->handles[0] = sub_handle;
  233. task->handles[1] = sub_handle2;
  234. task->cl = &cl;
  235. task->synchronous = 1;
  236. ret = starpu_task_submit(task);
  237. if (ret == -ENODEV) goto enodev;
  238. STARPU_CHECK_RETURN_VALUE(ret, "starpu_task_submit");
  239. }
  240. }
  241. starpu_data_unpartition(handle, STARPU_MAIN_RAM);
  242. starpu_data_unpartition(handle2, STARPU_MAIN_RAM);
  243. starpu_data_unregister(handle);
  244. starpu_data_unregister(handle2);
  245. starpu_shutdown();
  246. FPRINTF(stderr,"OUT Matrix:\n");
  247. for(j=0 ; j<NY + PARTSY*2*SHADOWY ; j++)
  248. {
  249. for(i=0 ; i<NX + PARTSX*2*SHADOWX ; i++)
  250. FPRINTF(stderr, "%5d ", matrix2[j][i]);
  251. FPRINTF(stderr,"\n");
  252. }
  253. FPRINTF(stderr,"\n");
  254. for(j=0 ; j<PARTSY ; j++)
  255. for(i=0 ; i<PARTSX ; i++)
  256. for (l=0 ; l<NY/PARTSY + 2*SHADOWY ; l++)
  257. for (k=0 ; k<NX/PARTSX + 2*SHADOWX ; k++)
  258. STARPU_ASSERT(matrix2[j*(NY/PARTSY+2*SHADOWY)+l][i*(NX/PARTSX+2*SHADOWX)+k] == matrix[j*(NY/PARTSY)+l][i*(NX/PARTSX)+k]);
  259. return 0;
  260. enodev:
  261. FPRINTF(stderr, "WARNING: No one can execute this task\n");
  262. starpu_shutdown();
  263. return 77;
  264. }