1 2 /* 3 Defines a block Jacobi preconditioner. 4 */ 5 #include <petsc-private/pcimpl.h> /*I "petscpc.h" I*/ 6 #include <../src/ksp/pc/impls/bjacobi/bjacobi.h> 7 8 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC,Mat,Mat); 9 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC,Mat,Mat); 10 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC); 11 12 #undef __FUNCT__ 13 #define __FUNCT__ "PCSetUp_BJacobi" 14 static PetscErrorCode PCSetUp_BJacobi(PC pc) 15 { 16 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 17 Mat mat = pc->mat,pmat = pc->pmat; 18 PetscErrorCode ierr,(*f)(Mat,Mat*); 19 PetscInt N,M,start,i,sum,end; 20 PetscInt bs,i_start=-1,i_end=-1; 21 PetscMPIInt rank,size; 22 const char *pprefix,*mprefix; 23 24 PetscFunctionBegin; 25 ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr); 26 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)pc),&size);CHKERRQ(ierr); 27 ierr = MatGetLocalSize(pc->pmat,&M,&N);CHKERRQ(ierr); 28 ierr = MatGetBlockSize(pc->pmat,&bs);CHKERRQ(ierr); 29 30 if (jac->n > 0 && jac->n < size) { 31 ierr = PCSetUp_BJacobi_Multiproc(pc);CHKERRQ(ierr); 32 PetscFunctionReturn(0); 33 } 34 35 /* -------------------------------------------------------------------------- 36 Determines the number of blocks assigned to each processor 37 -----------------------------------------------------------------------------*/ 38 39 /* local block count given */ 40 if (jac->n_local > 0 && jac->n < 0) { 41 ierr = MPI_Allreduce(&jac->n_local,&jac->n,1,MPIU_INT,MPI_SUM,PetscObjectComm((PetscObject)pc));CHKERRQ(ierr); 42 if (jac->l_lens) { /* check that user set these correctly */ 43 sum = 0; 44 for (i=0; i<jac->n_local; i++) { 45 if (jac->l_lens[i]/bs*bs !=jac->l_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Mat blocksize doesn't match block Jacobi layout"); 46 sum += jac->l_lens[i]; 47 } 48 if (sum != M) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Local lens set incorrectly"); 49 } else { 50 ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr); 51 for (i=0; i<jac->n_local; i++) jac->l_lens[i] = bs*((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i)); 52 } 53 } else if (jac->n > 0 && jac->n_local < 0) { /* global block count given */ 54 /* global blocks given: determine which ones are local */ 55 if (jac->g_lens) { 56 /* check if the g_lens is has valid entries */ 57 for (i=0; i<jac->n; i++) { 58 if (!jac->g_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Zero block not allowed"); 59 if (jac->g_lens[i]/bs*bs != jac->g_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Mat blocksize doesn't match block Jacobi layout"); 60 } 61 if (size == 1) { 62 jac->n_local = jac->n; 63 ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr); 64 ierr = PetscMemcpy(jac->l_lens,jac->g_lens,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr); 65 /* check that user set these correctly */ 66 sum = 0; 67 for (i=0; i<jac->n_local; i++) sum += jac->l_lens[i]; 68 if (sum != M) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Global lens set incorrectly"); 69 } else { 70 ierr = MatGetOwnershipRange(pc->pmat,&start,&end);CHKERRQ(ierr); 71 /* loop over blocks determing first one owned by me */ 72 sum = 0; 73 for (i=0; i<jac->n+1; i++) { 74 if (sum == start) { i_start = i; goto start_1;} 75 if (i < jac->n) sum += jac->g_lens[i]; 76 } 77 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 78 start_1: 79 for (i=i_start; i<jac->n+1; i++) { 80 if (sum == end) { i_end = i; goto end_1; } 81 if (i < jac->n) sum += jac->g_lens[i]; 82 } 83 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 84 end_1: 85 jac->n_local = i_end - i_start; 86 ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr); 87 ierr = PetscMemcpy(jac->l_lens,jac->g_lens+i_start,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr); 88 } 89 } else { /* no global blocks given, determine then using default layout */ 90 jac->n_local = jac->n/size + ((jac->n % size) > rank); 91 ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr); 92 for (i=0; i<jac->n_local; i++) { 93 jac->l_lens[i] = ((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i))*bs; 94 if (!jac->l_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Too many blocks given"); 95 } 96 } 97 } else if (jac->n < 0 && jac->n_local < 0) { /* no blocks given */ 98 jac->n = size; 99 jac->n_local = 1; 100 ierr = PetscMalloc(sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 101 jac->l_lens[0] = M; 102 } else { /* jac->n > 0 && jac->n_local > 0 */ 103 if (!jac->l_lens) { 104 ierr = PetscMalloc1(jac->n_local,&jac->l_lens);CHKERRQ(ierr); 105 for (i=0; i<jac->n_local; i++) jac->l_lens[i] = bs*((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i)); 106 } 107 } 108 if (jac->n_local < 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Number of blocks is less than number of processors"); 109 110 /* ------------------------- 111 Determines mat and pmat 112 ---------------------------*/ 113 ierr = PetscObjectQueryFunction((PetscObject)pc->mat,"MatGetDiagonalBlock_C",&f);CHKERRQ(ierr); 114 if (!f && size == 1) { 115 mat = pc->mat; 116 pmat = pc->pmat; 117 } else { 118 if (pc->useAmat) { 119 /* use block from Amat matrix, not Pmat for local MatMult() */ 120 ierr = MatGetDiagonalBlock(pc->mat,&mat);CHKERRQ(ierr); 121 /* make submatrix have same prefix as entire matrix */ 122 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->mat,&mprefix);CHKERRQ(ierr); 123 ierr = PetscObjectSetOptionsPrefix((PetscObject)mat,mprefix);CHKERRQ(ierr); 124 } 125 if (pc->pmat != pc->mat || !pc->useAmat) { 126 ierr = MatGetDiagonalBlock(pc->pmat,&pmat);CHKERRQ(ierr); 127 /* make submatrix have same prefix as entire matrix */ 128 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->pmat,&pprefix);CHKERRQ(ierr); 129 ierr = PetscObjectSetOptionsPrefix((PetscObject)pmat,pprefix);CHKERRQ(ierr); 130 } else pmat = mat; 131 } 132 133 /* ------ 134 Setup code depends on the number of blocks 135 */ 136 if (jac->n_local == 1) { 137 ierr = PCSetUp_BJacobi_Singleblock(pc,mat,pmat);CHKERRQ(ierr); 138 } else { 139 ierr = PCSetUp_BJacobi_Multiblock(pc,mat,pmat);CHKERRQ(ierr); 140 } 141 PetscFunctionReturn(0); 142 } 143 144 /* Default destroy, if it has never been setup */ 145 #undef __FUNCT__ 146 #define __FUNCT__ "PCDestroy_BJacobi" 147 static PetscErrorCode PCDestroy_BJacobi(PC pc) 148 { 149 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 150 PetscErrorCode ierr; 151 152 PetscFunctionBegin; 153 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 154 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 155 ierr = PetscFree(pc->data);CHKERRQ(ierr); 156 PetscFunctionReturn(0); 157 } 158 159 #undef __FUNCT__ 160 #define __FUNCT__ "PCSetFromOptions_BJacobi" 161 162 static PetscErrorCode PCSetFromOptions_BJacobi(PC pc) 163 { 164 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 165 PetscErrorCode ierr; 166 PetscInt blocks,i; 167 PetscBool flg; 168 169 PetscFunctionBegin; 170 ierr = PetscOptionsHead("Block Jacobi options");CHKERRQ(ierr); 171 ierr = PetscOptionsInt("-pc_bjacobi_blocks","Total number of blocks","PCBJacobiSetTotalBlocks",jac->n,&blocks,&flg);CHKERRQ(ierr); 172 if (flg) { 173 ierr = PCBJacobiSetTotalBlocks(pc,blocks,NULL);CHKERRQ(ierr); 174 } 175 if (jac->ksp) { 176 /* The sub-KSP has already been set up (e.g., PCSetUp_BJacobi_Singleblock), but KSPSetFromOptions was not called 177 * unless we had already been called. */ 178 for (i=0; i<jac->n_local; i++) { 179 ierr = KSPSetFromOptions(jac->ksp[i]);CHKERRQ(ierr); 180 } 181 } 182 ierr = PetscOptionsTail();CHKERRQ(ierr); 183 PetscFunctionReturn(0); 184 } 185 186 #include <petscdraw.h> 187 #undef __FUNCT__ 188 #define __FUNCT__ "PCView_BJacobi" 189 static PetscErrorCode PCView_BJacobi(PC pc,PetscViewer viewer) 190 { 191 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 192 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 193 PetscErrorCode ierr; 194 PetscMPIInt rank; 195 PetscInt i; 196 PetscBool iascii,isstring,isdraw; 197 PetscViewer sviewer; 198 199 PetscFunctionBegin; 200 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 201 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr); 202 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERDRAW,&isdraw);CHKERRQ(ierr); 203 if (iascii) { 204 if (pc->useAmat) { 205 ierr = PetscViewerASCIIPrintf(viewer," block Jacobi: using Amat local matrix, number of blocks = %D\n",jac->n);CHKERRQ(ierr); 206 } 207 ierr = PetscViewerASCIIPrintf(viewer," block Jacobi: number of blocks = %D\n",jac->n);CHKERRQ(ierr); 208 ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr); 209 if (jac->same_local_solves) { 210 ierr = PetscViewerASCIIPrintf(viewer," Local solve is same for all blocks, in the following KSP and PC objects:\n");CHKERRQ(ierr); 211 if (jac->ksp && !jac->psubcomm) { 212 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 213 if (!rank) { 214 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 215 ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr); 216 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 217 } 218 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 219 } else if (jac->psubcomm && !jac->psubcomm->color) { 220 ierr = PetscViewerASCIIGetStdout(mpjac->psubcomm->comm,&sviewer);CHKERRQ(ierr); 221 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 222 ierr = KSPView(*(jac->ksp),sviewer);CHKERRQ(ierr); 223 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 224 } 225 } else { 226 PetscInt n_global; 227 ierr = MPI_Allreduce(&jac->n_local,&n_global,1,MPIU_INT,MPI_MAX,PetscObjectComm((PetscObject)pc));CHKERRQ(ierr); 228 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_TRUE);CHKERRQ(ierr); 229 ierr = PetscViewerASCIIPrintf(viewer," Local solve info for each block is in the following KSP and PC objects:\n");CHKERRQ(ierr); 230 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] number of local blocks = %D, first local block number = %D\n", 231 rank,jac->n_local,jac->first_local);CHKERRQ(ierr); 232 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 233 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 234 for (i=0; i<jac->n_local; i++) { 235 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] local block number %D\n",rank,i);CHKERRQ(ierr); 236 ierr = KSPView(jac->ksp[i],sviewer);CHKERRQ(ierr); 237 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"- - - - - - - - - - - - - - - - - -\n");CHKERRQ(ierr); 238 } 239 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 240 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 241 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 242 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_FALSE);CHKERRQ(ierr); 243 } 244 } else if (isstring) { 245 ierr = PetscViewerStringSPrintf(viewer," blks=%D",jac->n);CHKERRQ(ierr); 246 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 247 if (jac->ksp) {ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr);} 248 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 249 } else if (isdraw) { 250 PetscDraw draw; 251 char str[25]; 252 PetscReal x,y,bottom,h; 253 254 ierr = PetscViewerDrawGetDraw(viewer,0,&draw);CHKERRQ(ierr); 255 ierr = PetscDrawGetCurrentPoint(draw,&x,&y);CHKERRQ(ierr); 256 ierr = PetscSNPrintf(str,25,"Number blocks %D",jac->n);CHKERRQ(ierr); 257 ierr = PetscDrawBoxedString(draw,x,y,PETSC_DRAW_RED,PETSC_DRAW_BLACK,str,NULL,&h);CHKERRQ(ierr); 258 bottom = y - h; 259 ierr = PetscDrawPushCurrentPoint(draw,x,bottom);CHKERRQ(ierr); 260 /* warning the communicator on viewer is different then on ksp in parallel */ 261 if (jac->ksp) {ierr = KSPView(jac->ksp[0],viewer);CHKERRQ(ierr);} 262 ierr = PetscDrawPopCurrentPoint(draw);CHKERRQ(ierr); 263 } 264 PetscFunctionReturn(0); 265 } 266 267 /* -------------------------------------------------------------------------------------*/ 268 269 #undef __FUNCT__ 270 #define __FUNCT__ "PCBJacobiGetSubKSP_BJacobi" 271 static PetscErrorCode PCBJacobiGetSubKSP_BJacobi(PC pc,PetscInt *n_local,PetscInt *first_local,KSP **ksp) 272 { 273 PC_BJacobi *jac = (PC_BJacobi*)pc->data;; 274 275 PetscFunctionBegin; 276 if (!pc->setupcalled) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_WRONGSTATE,"Must call KSPSetUp() or PCSetUp() first"); 277 278 if (n_local) *n_local = jac->n_local; 279 if (first_local) *first_local = jac->first_local; 280 *ksp = jac->ksp; 281 jac->same_local_solves = PETSC_FALSE; /* Assume that local solves are now different; 282 not necessarily true though! This flag is 283 used only for PCView_BJacobi() */ 284 PetscFunctionReturn(0); 285 } 286 287 #undef __FUNCT__ 288 #define __FUNCT__ "PCBJacobiSetTotalBlocks_BJacobi" 289 static PetscErrorCode PCBJacobiSetTotalBlocks_BJacobi(PC pc,PetscInt blocks,PetscInt *lens) 290 { 291 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 292 PetscErrorCode ierr; 293 294 PetscFunctionBegin; 295 if (pc->setupcalled > 0 && jac->n!=blocks) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ORDER,"Cannot alter number of blocks after PCSetUp()/KSPSetUp() has been called"); 296 jac->n = blocks; 297 if (!lens) jac->g_lens = 0; 298 else { 299 ierr = PetscMalloc1(blocks,&jac->g_lens);CHKERRQ(ierr); 300 ierr = PetscLogObjectMemory((PetscObject)pc,blocks*sizeof(PetscInt));CHKERRQ(ierr); 301 ierr = PetscMemcpy(jac->g_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr); 302 } 303 PetscFunctionReturn(0); 304 } 305 306 #undef __FUNCT__ 307 #define __FUNCT__ "PCBJacobiGetTotalBlocks_BJacobi" 308 static PetscErrorCode PCBJacobiGetTotalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 309 { 310 PC_BJacobi *jac = (PC_BJacobi*) pc->data; 311 312 PetscFunctionBegin; 313 *blocks = jac->n; 314 if (lens) *lens = jac->g_lens; 315 PetscFunctionReturn(0); 316 } 317 318 #undef __FUNCT__ 319 #define __FUNCT__ "PCBJacobiSetLocalBlocks_BJacobi" 320 static PetscErrorCode PCBJacobiSetLocalBlocks_BJacobi(PC pc,PetscInt blocks,const PetscInt lens[]) 321 { 322 PC_BJacobi *jac; 323 PetscErrorCode ierr; 324 325 PetscFunctionBegin; 326 jac = (PC_BJacobi*)pc->data; 327 328 jac->n_local = blocks; 329 if (!lens) jac->l_lens = 0; 330 else { 331 ierr = PetscMalloc1(blocks,&jac->l_lens);CHKERRQ(ierr); 332 ierr = PetscLogObjectMemory((PetscObject)pc,blocks*sizeof(PetscInt));CHKERRQ(ierr); 333 ierr = PetscMemcpy(jac->l_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr); 334 } 335 PetscFunctionReturn(0); 336 } 337 338 #undef __FUNCT__ 339 #define __FUNCT__ "PCBJacobiGetLocalBlocks_BJacobi" 340 static PetscErrorCode PCBJacobiGetLocalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 341 { 342 PC_BJacobi *jac = (PC_BJacobi*) pc->data; 343 344 PetscFunctionBegin; 345 *blocks = jac->n_local; 346 if (lens) *lens = jac->l_lens; 347 PetscFunctionReturn(0); 348 } 349 350 /* -------------------------------------------------------------------------------------*/ 351 352 #undef __FUNCT__ 353 #define __FUNCT__ "PCBJacobiGetSubKSP" 354 /*@C 355 PCBJacobiGetSubKSP - Gets the local KSP contexts for all blocks on 356 this processor. 357 358 Note Collective 359 360 Input Parameter: 361 . pc - the preconditioner context 362 363 Output Parameters: 364 + n_local - the number of blocks on this processor, or NULL 365 . first_local - the global number of the first block on this processor, or NULL 366 - ksp - the array of KSP contexts 367 368 Notes: 369 After PCBJacobiGetSubKSP() the array of KSP contexts is not to be freed. 370 371 Currently for some matrix implementations only 1 block per processor 372 is supported. 373 374 You must call KSPSetUp() or PCSetUp() before calling PCBJacobiGetSubKSP(). 375 376 Fortran Usage: You must pass in a KSP array that is large enough to contain all the local KSPs. 377 You can call PCBJacobiGetSubKSP(pc,nlocal,firstlocal,NULL_OBJECT,ierr) to determine how large the 378 KSP array must be. 379 380 Level: advanced 381 382 .keywords: block, Jacobi, get, sub, KSP, context 383 384 .seealso: PCBJacobiGetSubKSP() 385 @*/ 386 PetscErrorCode PCBJacobiGetSubKSP(PC pc,PetscInt *n_local,PetscInt *first_local,KSP *ksp[]) 387 { 388 PetscErrorCode ierr; 389 390 PetscFunctionBegin; 391 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 392 ierr = PetscUseMethod(pc,"PCBJacobiGetSubKSP_C",(PC,PetscInt*,PetscInt*,KSP **),(pc,n_local,first_local,ksp));CHKERRQ(ierr); 393 PetscFunctionReturn(0); 394 } 395 396 #undef __FUNCT__ 397 #define __FUNCT__ "PCBJacobiSetTotalBlocks" 398 /*@ 399 PCBJacobiSetTotalBlocks - Sets the global number of blocks for the block 400 Jacobi preconditioner. 401 402 Collective on PC 403 404 Input Parameters: 405 + pc - the preconditioner context 406 . blocks - the number of blocks 407 - lens - [optional] integer array containing the size of each block 408 409 Options Database Key: 410 . -pc_bjacobi_blocks <blocks> - Sets the number of global blocks 411 412 Notes: 413 Currently only a limited number of blocking configurations are supported. 414 All processors sharing the PC must call this routine with the same data. 415 416 Level: intermediate 417 418 .keywords: set, number, Jacobi, global, total, blocks 419 420 .seealso: PCSetUseAmat(), PCBJacobiSetLocalBlocks() 421 @*/ 422 PetscErrorCode PCBJacobiSetTotalBlocks(PC pc,PetscInt blocks,const PetscInt lens[]) 423 { 424 PetscErrorCode ierr; 425 426 PetscFunctionBegin; 427 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 428 if (blocks <= 0) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_OUTOFRANGE,"Must have positive blocks"); 429 ierr = PetscTryMethod(pc,"PCBJacobiSetTotalBlocks_C",(PC,PetscInt,const PetscInt[]),(pc,blocks,lens));CHKERRQ(ierr); 430 PetscFunctionReturn(0); 431 } 432 433 #undef __FUNCT__ 434 #define __FUNCT__ "PCBJacobiGetTotalBlocks" 435 /*@C 436 PCBJacobiGetTotalBlocks - Gets the global number of blocks for the block 437 Jacobi preconditioner. 438 439 Not Collective 440 441 Input Parameter: 442 . pc - the preconditioner context 443 444 Output parameters: 445 + blocks - the number of blocks 446 - lens - integer array containing the size of each block 447 448 Level: intermediate 449 450 .keywords: get, number, Jacobi, global, total, blocks 451 452 .seealso: PCSetUseAmat(), PCBJacobiGetLocalBlocks() 453 @*/ 454 PetscErrorCode PCBJacobiGetTotalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 455 { 456 PetscErrorCode ierr; 457 458 PetscFunctionBegin; 459 PetscValidHeaderSpecific(pc, PC_CLASSID,1); 460 PetscValidIntPointer(blocks,2); 461 ierr = PetscUseMethod(pc,"PCBJacobiGetTotalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr); 462 PetscFunctionReturn(0); 463 } 464 465 #undef __FUNCT__ 466 #define __FUNCT__ "PCBJacobiSetLocalBlocks" 467 /*@ 468 PCBJacobiSetLocalBlocks - Sets the local number of blocks for the block 469 Jacobi preconditioner. 470 471 Not Collective 472 473 Input Parameters: 474 + pc - the preconditioner context 475 . blocks - the number of blocks 476 - lens - [optional] integer array containing size of each block 477 478 Note: 479 Currently only a limited number of blocking configurations are supported. 480 481 Level: intermediate 482 483 .keywords: PC, set, number, Jacobi, local, blocks 484 485 .seealso: PCSetUseAmat(), PCBJacobiSetTotalBlocks() 486 @*/ 487 PetscErrorCode PCBJacobiSetLocalBlocks(PC pc,PetscInt blocks,const PetscInt lens[]) 488 { 489 PetscErrorCode ierr; 490 491 PetscFunctionBegin; 492 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 493 if (blocks < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Must have nonegative blocks"); 494 ierr = PetscTryMethod(pc,"PCBJacobiSetLocalBlocks_C",(PC,PetscInt,const PetscInt []),(pc,blocks,lens));CHKERRQ(ierr); 495 PetscFunctionReturn(0); 496 } 497 498 #undef __FUNCT__ 499 #define __FUNCT__ "PCBJacobiGetLocalBlocks" 500 /*@C 501 PCBJacobiGetLocalBlocks - Gets the local number of blocks for the block 502 Jacobi preconditioner. 503 504 Not Collective 505 506 Input Parameters: 507 + pc - the preconditioner context 508 . blocks - the number of blocks 509 - lens - [optional] integer array containing size of each block 510 511 Note: 512 Currently only a limited number of blocking configurations are supported. 513 514 Level: intermediate 515 516 .keywords: PC, get, number, Jacobi, local, blocks 517 518 .seealso: PCSetUseAmat(), PCBJacobiGetTotalBlocks() 519 @*/ 520 PetscErrorCode PCBJacobiGetLocalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 521 { 522 PetscErrorCode ierr; 523 524 PetscFunctionBegin; 525 PetscValidHeaderSpecific(pc, PC_CLASSID,1); 526 PetscValidIntPointer(blocks,2); 527 ierr = PetscUseMethod(pc,"PCBJacobiGetLocalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr); 528 PetscFunctionReturn(0); 529 } 530 531 /* -----------------------------------------------------------------------------------*/ 532 533 /*MC 534 PCBJACOBI - Use block Jacobi preconditioning, each block is (approximately) solved with 535 its own KSP object. 536 537 Options Database Keys: 538 . -pc_use_amat - use Amat to apply block of operator in inner Krylov method 539 540 Notes: Each processor can have one or more blocks, but a block cannot be shared by more 541 than one processor. Defaults to one block per processor. 542 543 To set options on the solvers for each block append -sub_ to all the KSP, KSP, and PC 544 options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly 545 546 To set the options on the solvers separate for each block call PCBJacobiGetSubKSP() 547 and set the options directly on the resulting KSP object (you can access its PC 548 KSPGetPC()) 549 550 Level: beginner 551 552 Concepts: block Jacobi 553 554 Developer Notes: This preconditioner does not currently work with CUDA/CUSP for a couple of reasons. 555 (1) It creates seq vectors as work vectors that should be cusp 556 (2) The use of VecPlaceArray() is not handled properly by CUSP (that is it will not know where 557 the ownership of the vector is so may use wrong values) even if it did know the ownership 558 it may induce extra copy ups and downs. Satish suggests a VecTransplantArray() to handle two 559 vectors sharing the same pointer and handling the CUSP side as well instead of VecGetArray()/VecPlaceArray(). 560 561 562 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, 563 PCASM, PCSetUseAmat(), PCGetUseAmat(), PCBJacobiGetSubKSP(), PCBJacobiSetTotalBlocks(), 564 PCBJacobiSetLocalBlocks(), PCSetModifySubmatrices() 565 M*/ 566 567 #undef __FUNCT__ 568 #define __FUNCT__ "PCCreate_BJacobi" 569 PETSC_EXTERN PetscErrorCode PCCreate_BJacobi(PC pc) 570 { 571 PetscErrorCode ierr; 572 PetscMPIInt rank; 573 PC_BJacobi *jac; 574 575 PetscFunctionBegin; 576 ierr = PetscNewLog(pc,&jac);CHKERRQ(ierr); 577 ierr = MPI_Comm_rank(PetscObjectComm((PetscObject)pc),&rank);CHKERRQ(ierr); 578 579 pc->ops->apply = 0; 580 pc->ops->applytranspose = 0; 581 pc->ops->setup = PCSetUp_BJacobi; 582 pc->ops->destroy = PCDestroy_BJacobi; 583 pc->ops->setfromoptions = PCSetFromOptions_BJacobi; 584 pc->ops->view = PCView_BJacobi; 585 pc->ops->applyrichardson = 0; 586 587 pc->data = (void*)jac; 588 jac->n = -1; 589 jac->n_local = -1; 590 jac->first_local = rank; 591 jac->ksp = 0; 592 jac->same_local_solves = PETSC_TRUE; 593 jac->g_lens = 0; 594 jac->l_lens = 0; 595 jac->psubcomm = 0; 596 597 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetSubKSP_C",PCBJacobiGetSubKSP_BJacobi);CHKERRQ(ierr); 598 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiSetTotalBlocks_C",PCBJacobiSetTotalBlocks_BJacobi);CHKERRQ(ierr); 599 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetTotalBlocks_C",PCBJacobiGetTotalBlocks_BJacobi);CHKERRQ(ierr); 600 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiSetLocalBlocks_C",PCBJacobiSetLocalBlocks_BJacobi);CHKERRQ(ierr); 601 ierr = PetscObjectComposeFunction((PetscObject)pc,"PCBJacobiGetLocalBlocks_C",PCBJacobiGetLocalBlocks_BJacobi);CHKERRQ(ierr); 602 PetscFunctionReturn(0); 603 } 604 605 /* --------------------------------------------------------------------------------------------*/ 606 /* 607 These are for a single block per processor; works for AIJ, BAIJ; Seq and MPI 608 */ 609 #undef __FUNCT__ 610 #define __FUNCT__ "PCReset_BJacobi_Singleblock" 611 PetscErrorCode PCReset_BJacobi_Singleblock(PC pc) 612 { 613 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 614 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 615 PetscErrorCode ierr; 616 617 PetscFunctionBegin; 618 ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr); 619 ierr = VecDestroy(&bjac->x);CHKERRQ(ierr); 620 ierr = VecDestroy(&bjac->y);CHKERRQ(ierr); 621 PetscFunctionReturn(0); 622 } 623 624 #undef __FUNCT__ 625 #define __FUNCT__ "PCDestroy_BJacobi_Singleblock" 626 PetscErrorCode PCDestroy_BJacobi_Singleblock(PC pc) 627 { 628 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 629 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 630 PetscErrorCode ierr; 631 632 PetscFunctionBegin; 633 ierr = PCReset_BJacobi_Singleblock(pc);CHKERRQ(ierr); 634 ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr); 635 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 636 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 637 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 638 ierr = PetscFree(bjac);CHKERRQ(ierr); 639 ierr = PetscFree(pc->data);CHKERRQ(ierr); 640 PetscFunctionReturn(0); 641 } 642 643 #undef __FUNCT__ 644 #define __FUNCT__ "PCSetUpOnBlocks_BJacobi_Singleblock" 645 PetscErrorCode PCSetUpOnBlocks_BJacobi_Singleblock(PC pc) 646 { 647 PetscErrorCode ierr; 648 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 649 650 PetscFunctionBegin; 651 ierr = KSPSetUp(jac->ksp[0]);CHKERRQ(ierr); 652 PetscFunctionReturn(0); 653 } 654 655 #undef __FUNCT__ 656 #define __FUNCT__ "PCApply_BJacobi_Singleblock" 657 PetscErrorCode PCApply_BJacobi_Singleblock(PC pc,Vec x,Vec y) 658 { 659 PetscErrorCode ierr; 660 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 661 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 662 PetscScalar *x_array,*y_array; 663 664 PetscFunctionBegin; 665 /* 666 The VecPlaceArray() is to avoid having to copy the 667 y vector into the bjac->x vector. The reason for 668 the bjac->x vector is that we need a sequential vector 669 for the sequential solve. 670 */ 671 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 672 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 673 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 674 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 675 ierr = KSPSolve(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr); 676 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 677 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 678 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 679 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 680 PetscFunctionReturn(0); 681 } 682 683 #undef __FUNCT__ 684 #define __FUNCT__ "PCApplySymmetricLeft_BJacobi_Singleblock" 685 PetscErrorCode PCApplySymmetricLeft_BJacobi_Singleblock(PC pc,Vec x,Vec y) 686 { 687 PetscErrorCode ierr; 688 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 689 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 690 PetscScalar *x_array,*y_array; 691 PC subpc; 692 693 PetscFunctionBegin; 694 /* 695 The VecPlaceArray() is to avoid having to copy the 696 y vector into the bjac->x vector. The reason for 697 the bjac->x vector is that we need a sequential vector 698 for the sequential solve. 699 */ 700 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 701 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 702 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 703 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 704 /* apply the symmetric left portion of the inner PC operator */ 705 /* note this by-passes the inner KSP and its options completely */ 706 ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr); 707 ierr = PCApplySymmetricLeft(subpc,bjac->x,bjac->y);CHKERRQ(ierr); 708 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 709 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 710 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 711 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 712 PetscFunctionReturn(0); 713 } 714 715 #undef __FUNCT__ 716 #define __FUNCT__ "PCApplySymmetricRight_BJacobi_Singleblock" 717 PetscErrorCode PCApplySymmetricRight_BJacobi_Singleblock(PC pc,Vec x,Vec y) 718 { 719 PetscErrorCode ierr; 720 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 721 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 722 PetscScalar *x_array,*y_array; 723 PC subpc; 724 725 PetscFunctionBegin; 726 /* 727 The VecPlaceArray() is to avoid having to copy the 728 y vector into the bjac->x vector. The reason for 729 the bjac->x vector is that we need a sequential vector 730 for the sequential solve. 731 */ 732 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 733 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 734 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 735 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 736 737 /* apply the symmetric right portion of the inner PC operator */ 738 /* note this by-passes the inner KSP and its options completely */ 739 740 ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr); 741 ierr = PCApplySymmetricRight(subpc,bjac->x,bjac->y);CHKERRQ(ierr); 742 743 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 744 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 745 PetscFunctionReturn(0); 746 } 747 748 #undef __FUNCT__ 749 #define __FUNCT__ "PCApplyTranspose_BJacobi_Singleblock" 750 PetscErrorCode PCApplyTranspose_BJacobi_Singleblock(PC pc,Vec x,Vec y) 751 { 752 PetscErrorCode ierr; 753 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 754 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 755 PetscScalar *x_array,*y_array; 756 757 PetscFunctionBegin; 758 /* 759 The VecPlaceArray() is to avoid having to copy the 760 y vector into the bjac->x vector. The reason for 761 the bjac->x vector is that we need a sequential vector 762 for the sequential solve. 763 */ 764 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 765 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 766 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 767 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 768 ierr = KSPSolveTranspose(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr); 769 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 770 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 771 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 772 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 773 PetscFunctionReturn(0); 774 } 775 776 #undef __FUNCT__ 777 #define __FUNCT__ "PCSetUp_BJacobi_Singleblock" 778 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC pc,Mat mat,Mat pmat) 779 { 780 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 781 PetscErrorCode ierr; 782 PetscInt m; 783 KSP ksp; 784 PC_BJacobi_Singleblock *bjac; 785 PetscBool wasSetup = PETSC_TRUE; 786 787 PetscFunctionBegin; 788 if (!pc->setupcalled) { 789 const char *prefix; 790 791 if (!jac->ksp) { 792 wasSetup = PETSC_FALSE; 793 794 ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr); 795 ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr); 796 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ksp);CHKERRQ(ierr); 797 ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr); 798 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 799 ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr); 800 ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr); 801 802 pc->ops->reset = PCReset_BJacobi_Singleblock; 803 pc->ops->destroy = PCDestroy_BJacobi_Singleblock; 804 pc->ops->apply = PCApply_BJacobi_Singleblock; 805 pc->ops->applysymmetricleft = PCApplySymmetricLeft_BJacobi_Singleblock; 806 pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Singleblock; 807 pc->ops->applytranspose = PCApplyTranspose_BJacobi_Singleblock; 808 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Singleblock; 809 810 ierr = PetscMalloc(sizeof(KSP),&jac->ksp);CHKERRQ(ierr); 811 jac->ksp[0] = ksp; 812 813 ierr = PetscNewLog(pc,&bjac);CHKERRQ(ierr); 814 jac->data = (void*)bjac; 815 } else { 816 ksp = jac->ksp[0]; 817 bjac = (PC_BJacobi_Singleblock*)jac->data; 818 } 819 820 /* 821 The reason we need to generate these vectors is to serve 822 as the right-hand side and solution vector for the solve on the 823 block. We do not need to allocate space for the vectors since 824 that is provided via VecPlaceArray() just before the call to 825 KSPSolve() on the block. 826 */ 827 ierr = MatGetSize(pmat,&m,&m);CHKERRQ(ierr); 828 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&bjac->x);CHKERRQ(ierr); 829 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&bjac->y);CHKERRQ(ierr); 830 #ifdef PETSC_HAVE_CUSP 831 ierr = VecSetType(bjac->x,VECCUSP);CHKERRQ(ierr); 832 ierr = VecSetType(bjac->y,VECCUSP);CHKERRQ(ierr); 833 #endif 834 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->x);CHKERRQ(ierr); 835 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->y);CHKERRQ(ierr); 836 } else { 837 ksp = jac->ksp[0]; 838 bjac = (PC_BJacobi_Singleblock*)jac->data; 839 } 840 if (pc->useAmat) { 841 ierr = KSPSetOperators(ksp,mat,pmat);CHKERRQ(ierr); 842 } else { 843 ierr = KSPSetOperators(ksp,pmat,pmat);CHKERRQ(ierr); 844 } 845 if (!wasSetup && pc->setfromoptionscalled) { 846 /* If PCSetFromOptions_BJacobi is called later, KSPSetFromOptions will be called at that time. */ 847 ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr); 848 } 849 PetscFunctionReturn(0); 850 } 851 852 /* ---------------------------------------------------------------------------------------------*/ 853 #undef __FUNCT__ 854 #define __FUNCT__ "PCReset_BJacobi_Multiblock" 855 PetscErrorCode PCReset_BJacobi_Multiblock(PC pc) 856 { 857 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 858 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 859 PetscErrorCode ierr; 860 PetscInt i; 861 862 PetscFunctionBegin; 863 if (bjac && bjac->pmat) { 864 ierr = MatDestroyMatrices(jac->n_local,&bjac->pmat);CHKERRQ(ierr); 865 if (pc->useAmat) { 866 ierr = MatDestroyMatrices(jac->n_local,&bjac->mat);CHKERRQ(ierr); 867 } 868 } 869 870 for (i=0; i<jac->n_local; i++) { 871 ierr = KSPReset(jac->ksp[i]);CHKERRQ(ierr); 872 if (bjac && bjac->x) { 873 ierr = VecDestroy(&bjac->x[i]);CHKERRQ(ierr); 874 ierr = VecDestroy(&bjac->y[i]);CHKERRQ(ierr); 875 ierr = ISDestroy(&bjac->is[i]);CHKERRQ(ierr); 876 } 877 } 878 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 879 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 880 PetscFunctionReturn(0); 881 } 882 883 #undef __FUNCT__ 884 #define __FUNCT__ "PCDestroy_BJacobi_Multiblock" 885 PetscErrorCode PCDestroy_BJacobi_Multiblock(PC pc) 886 { 887 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 888 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 889 PetscErrorCode ierr; 890 PetscInt i; 891 892 PetscFunctionBegin; 893 ierr = PCReset_BJacobi_Multiblock(pc);CHKERRQ(ierr); 894 if (bjac) { 895 ierr = PetscFree2(bjac->x,bjac->y);CHKERRQ(ierr); 896 ierr = PetscFree(bjac->starts);CHKERRQ(ierr); 897 ierr = PetscFree(bjac->is);CHKERRQ(ierr); 898 } 899 ierr = PetscFree(jac->data);CHKERRQ(ierr); 900 for (i=0; i<jac->n_local; i++) { 901 ierr = KSPDestroy(&jac->ksp[i]);CHKERRQ(ierr); 902 } 903 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 904 ierr = PetscFree(pc->data);CHKERRQ(ierr); 905 PetscFunctionReturn(0); 906 } 907 908 #undef __FUNCT__ 909 #define __FUNCT__ "PCSetUpOnBlocks_BJacobi_Multiblock" 910 PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiblock(PC pc) 911 { 912 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 913 PetscErrorCode ierr; 914 PetscInt i,n_local = jac->n_local; 915 916 PetscFunctionBegin; 917 for (i=0; i<n_local; i++) { 918 ierr = KSPSetUp(jac->ksp[i]);CHKERRQ(ierr); 919 } 920 PetscFunctionReturn(0); 921 } 922 923 /* 924 Preconditioner for block Jacobi 925 */ 926 #undef __FUNCT__ 927 #define __FUNCT__ "PCApply_BJacobi_Multiblock" 928 PetscErrorCode PCApply_BJacobi_Multiblock(PC pc,Vec x,Vec y) 929 { 930 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 931 PetscErrorCode ierr; 932 PetscInt i,n_local = jac->n_local; 933 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 934 PetscScalar *xin,*yin; 935 936 PetscFunctionBegin; 937 ierr = VecGetArray(x,&xin);CHKERRQ(ierr); 938 ierr = VecGetArray(y,&yin);CHKERRQ(ierr); 939 for (i=0; i<n_local; i++) { 940 /* 941 To avoid copying the subvector from x into a workspace we instead 942 make the workspace vector array point to the subpart of the array of 943 the global vector. 944 */ 945 ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr); 946 ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr); 947 948 ierr = PetscLogEventBegin(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 949 ierr = KSPSolve(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr); 950 ierr = PetscLogEventEnd(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 951 952 ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr); 953 ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr); 954 } 955 ierr = VecRestoreArray(x,&xin);CHKERRQ(ierr); 956 ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr); 957 PetscFunctionReturn(0); 958 } 959 960 /* 961 Preconditioner for block Jacobi 962 */ 963 #undef __FUNCT__ 964 #define __FUNCT__ "PCApplyTranspose_BJacobi_Multiblock" 965 PetscErrorCode PCApplyTranspose_BJacobi_Multiblock(PC pc,Vec x,Vec y) 966 { 967 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 968 PetscErrorCode ierr; 969 PetscInt i,n_local = jac->n_local; 970 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 971 PetscScalar *xin,*yin; 972 973 PetscFunctionBegin; 974 ierr = VecGetArray(x,&xin);CHKERRQ(ierr); 975 ierr = VecGetArray(y,&yin);CHKERRQ(ierr); 976 for (i=0; i<n_local; i++) { 977 /* 978 To avoid copying the subvector from x into a workspace we instead 979 make the workspace vector array point to the subpart of the array of 980 the global vector. 981 */ 982 ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr); 983 ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr); 984 985 ierr = PetscLogEventBegin(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 986 ierr = KSPSolveTranspose(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr); 987 ierr = PetscLogEventEnd(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 988 989 ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr); 990 ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr); 991 } 992 ierr = VecRestoreArray(x,&xin);CHKERRQ(ierr); 993 ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr); 994 PetscFunctionReturn(0); 995 } 996 997 #undef __FUNCT__ 998 #define __FUNCT__ "PCSetUp_BJacobi_Multiblock" 999 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC pc,Mat mat,Mat pmat) 1000 { 1001 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1002 PetscErrorCode ierr; 1003 PetscInt m,n_local,N,M,start,i; 1004 const char *prefix,*pprefix,*mprefix; 1005 KSP ksp; 1006 Vec x,y; 1007 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 1008 PC subpc; 1009 IS is; 1010 MatReuse scall; 1011 1012 PetscFunctionBegin; 1013 ierr = MatGetLocalSize(pc->pmat,&M,&N);CHKERRQ(ierr); 1014 1015 n_local = jac->n_local; 1016 1017 if (pc->useAmat) { 1018 PetscBool same; 1019 ierr = PetscObjectTypeCompare((PetscObject)mat,((PetscObject)pmat)->type_name,&same);CHKERRQ(ierr); 1020 if (!same) SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_ARG_INCOMP,"Matrices not of same type"); 1021 } 1022 1023 if (!pc->setupcalled) { 1024 scall = MAT_INITIAL_MATRIX; 1025 1026 if (!jac->ksp) { 1027 pc->ops->reset = PCReset_BJacobi_Multiblock; 1028 pc->ops->destroy = PCDestroy_BJacobi_Multiblock; 1029 pc->ops->apply = PCApply_BJacobi_Multiblock; 1030 pc->ops->applytranspose= PCApplyTranspose_BJacobi_Multiblock; 1031 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiblock; 1032 1033 ierr = PetscNewLog(pc,&bjac);CHKERRQ(ierr); 1034 ierr = PetscMalloc1(n_local,&jac->ksp);CHKERRQ(ierr); 1035 ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(KSP)));CHKERRQ(ierr); 1036 ierr = PetscMalloc2(n_local,&bjac->x,n_local,&bjac->y);CHKERRQ(ierr); 1037 ierr = PetscMalloc1(n_local,&bjac->starts);CHKERRQ(ierr); 1038 ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(PetscScalar)));CHKERRQ(ierr); 1039 1040 jac->data = (void*)bjac; 1041 ierr = PetscMalloc1(n_local,&bjac->is);CHKERRQ(ierr); 1042 ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(n_local*sizeof(IS)));CHKERRQ(ierr); 1043 1044 for (i=0; i<n_local; i++) { 1045 ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr); 1046 ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr); 1047 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ksp);CHKERRQ(ierr); 1048 ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr); 1049 ierr = KSPGetPC(ksp,&subpc);CHKERRQ(ierr); 1050 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 1051 ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr); 1052 ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr); 1053 1054 jac->ksp[i] = ksp; 1055 } 1056 } else { 1057 bjac = (PC_BJacobi_Multiblock*)jac->data; 1058 } 1059 1060 start = 0; 1061 for (i=0; i<n_local; i++) { 1062 m = jac->l_lens[i]; 1063 /* 1064 The reason we need to generate these vectors is to serve 1065 as the right-hand side and solution vector for the solve on the 1066 block. We do not need to allocate space for the vectors since 1067 that is provided via VecPlaceArray() just before the call to 1068 KSPSolve() on the block. 1069 1070 */ 1071 ierr = VecCreateSeq(PETSC_COMM_SELF,m,&x);CHKERRQ(ierr); 1072 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,NULL,&y);CHKERRQ(ierr); 1073 #ifdef PETSC_HAVE_CUSP 1074 ierr = VecSetType(x,VECCUSP);CHKERRQ(ierr); 1075 ierr = VecSetType(y,VECCUSP);CHKERRQ(ierr); 1076 #endif 1077 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)x);CHKERRQ(ierr); 1078 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)y);CHKERRQ(ierr); 1079 1080 bjac->x[i] = x; 1081 bjac->y[i] = y; 1082 bjac->starts[i] = start; 1083 1084 ierr = ISCreateStride(PETSC_COMM_SELF,m,start,1,&is);CHKERRQ(ierr); 1085 bjac->is[i] = is; 1086 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)is);CHKERRQ(ierr); 1087 1088 start += m; 1089 } 1090 } else { 1091 bjac = (PC_BJacobi_Multiblock*)jac->data; 1092 /* 1093 Destroy the blocks from the previous iteration 1094 */ 1095 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1096 ierr = MatDestroyMatrices(n_local,&bjac->pmat);CHKERRQ(ierr); 1097 if (pc->useAmat) { 1098 ierr = MatDestroyMatrices(n_local,&bjac->mat);CHKERRQ(ierr); 1099 } 1100 scall = MAT_INITIAL_MATRIX; 1101 } else scall = MAT_REUSE_MATRIX; 1102 } 1103 1104 ierr = MatGetSubMatrices(pmat,n_local,bjac->is,bjac->is,scall,&bjac->pmat);CHKERRQ(ierr); 1105 if (pc->useAmat) { 1106 ierr = PetscObjectGetOptionsPrefix((PetscObject)mat,&mprefix);CHKERRQ(ierr); 1107 ierr = MatGetSubMatrices(mat,n_local,bjac->is,bjac->is,scall,&bjac->mat);CHKERRQ(ierr); 1108 } 1109 /* Return control to the user so that the submatrices can be modified (e.g., to apply 1110 different boundary conditions for the submatrices than for the global problem) */ 1111 ierr = PCModifySubMatrices(pc,n_local,bjac->is,bjac->is,bjac->pmat,pc->modifysubmatricesP);CHKERRQ(ierr); 1112 1113 ierr = PetscObjectGetOptionsPrefix((PetscObject)pmat,&pprefix);CHKERRQ(ierr); 1114 for (i=0; i<n_local; i++) { 1115 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->pmat[i]);CHKERRQ(ierr); 1116 ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->pmat[i],pprefix);CHKERRQ(ierr); 1117 if (pc->useAmat) { 1118 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)bjac->mat[i]);CHKERRQ(ierr); 1119 ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->mat[i],mprefix);CHKERRQ(ierr); 1120 ierr = KSPSetOperators(jac->ksp[i],bjac->mat[i],bjac->pmat[i]);CHKERRQ(ierr); 1121 } else { 1122 ierr = KSPSetOperators(jac->ksp[i],bjac->pmat[i],bjac->pmat[i]);CHKERRQ(ierr); 1123 } 1124 if (pc->setfromoptionscalled) { 1125 ierr = KSPSetFromOptions(jac->ksp[i]);CHKERRQ(ierr); 1126 } 1127 } 1128 PetscFunctionReturn(0); 1129 } 1130 1131 /* ---------------------------------------------------------------------------------------------*/ 1132 /* 1133 These are for a single block with multiple processes; 1134 */ 1135 #undef __FUNCT__ 1136 #define __FUNCT__ "PCReset_BJacobi_Multiproc" 1137 static PetscErrorCode PCReset_BJacobi_Multiproc(PC pc) 1138 { 1139 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1140 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1141 PetscErrorCode ierr; 1142 1143 PetscFunctionBegin; 1144 ierr = VecDestroy(&mpjac->ysub);CHKERRQ(ierr); 1145 ierr = VecDestroy(&mpjac->xsub);CHKERRQ(ierr); 1146 ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr); 1147 if (jac->ksp) {ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr);} 1148 PetscFunctionReturn(0); 1149 } 1150 1151 #undef __FUNCT__ 1152 #define __FUNCT__ "PCDestroy_BJacobi_Multiproc" 1153 static PetscErrorCode PCDestroy_BJacobi_Multiproc(PC pc) 1154 { 1155 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1156 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1157 PetscErrorCode ierr; 1158 1159 PetscFunctionBegin; 1160 ierr = PCReset_BJacobi_Multiproc(pc);CHKERRQ(ierr); 1161 ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr); 1162 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 1163 ierr = PetscSubcommDestroy(&mpjac->psubcomm);CHKERRQ(ierr); 1164 1165 ierr = PetscFree(mpjac);CHKERRQ(ierr); 1166 ierr = PetscFree(pc->data);CHKERRQ(ierr); 1167 PetscFunctionReturn(0); 1168 } 1169 1170 #undef __FUNCT__ 1171 #define __FUNCT__ "PCApply_BJacobi_Multiproc" 1172 static PetscErrorCode PCApply_BJacobi_Multiproc(PC pc,Vec x,Vec y) 1173 { 1174 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1175 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1176 PetscErrorCode ierr; 1177 PetscScalar *xarray,*yarray; 1178 1179 PetscFunctionBegin; 1180 /* place x's and y's local arrays into xsub and ysub */ 1181 ierr = VecGetArray(x,&xarray);CHKERRQ(ierr); 1182 ierr = VecGetArray(y,&yarray);CHKERRQ(ierr); 1183 ierr = VecPlaceArray(mpjac->xsub,xarray);CHKERRQ(ierr); 1184 ierr = VecPlaceArray(mpjac->ysub,yarray);CHKERRQ(ierr); 1185 1186 /* apply preconditioner on each matrix block */ 1187 ierr = PetscLogEventBegin(PC_ApplyOnMproc,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr); 1188 ierr = KSPSolve(jac->ksp[0],mpjac->xsub,mpjac->ysub);CHKERRQ(ierr); 1189 ierr = PetscLogEventEnd(PC_ApplyOnMproc,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr); 1190 1191 ierr = VecResetArray(mpjac->xsub);CHKERRQ(ierr); 1192 ierr = VecResetArray(mpjac->ysub);CHKERRQ(ierr); 1193 ierr = VecRestoreArray(x,&xarray);CHKERRQ(ierr); 1194 ierr = VecRestoreArray(y,&yarray);CHKERRQ(ierr); 1195 PetscFunctionReturn(0); 1196 } 1197 1198 #include <petsc-private/matimpl.h> 1199 #undef __FUNCT__ 1200 #define __FUNCT__ "PCSetUp_BJacobi_Multiproc" 1201 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC pc) 1202 { 1203 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1204 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1205 PetscErrorCode ierr; 1206 PetscInt m,n; 1207 MPI_Comm comm,subcomm=0; 1208 const char *prefix; 1209 PetscBool wasSetup = PETSC_TRUE; 1210 1211 PetscFunctionBegin; 1212 ierr = PetscObjectGetComm((PetscObject)pc,&comm);CHKERRQ(ierr); 1213 if (jac->n_local > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Only a single block in a subcommunicator is supported"); 1214 jac->n_local = 1; /* currently only a single block is supported for a subcommunicator */ 1215 if (!pc->setupcalled) { 1216 wasSetup = PETSC_FALSE; 1217 ierr = PetscNewLog(pc,&mpjac);CHKERRQ(ierr); 1218 jac->data = (void*)mpjac; 1219 1220 /* initialize datastructure mpjac */ 1221 if (!jac->psubcomm) { 1222 /* Create default contiguous subcommunicatiors if user does not provide them */ 1223 ierr = PetscSubcommCreate(comm,&jac->psubcomm);CHKERRQ(ierr); 1224 ierr = PetscSubcommSetNumber(jac->psubcomm,jac->n);CHKERRQ(ierr); 1225 ierr = PetscSubcommSetType(jac->psubcomm,PETSC_SUBCOMM_CONTIGUOUS);CHKERRQ(ierr); 1226 ierr = PetscLogObjectMemory((PetscObject)pc,sizeof(PetscSubcomm));CHKERRQ(ierr); 1227 } 1228 mpjac->psubcomm = jac->psubcomm; 1229 subcomm = mpjac->psubcomm->comm; 1230 1231 /* Get matrix blocks of pmat */ 1232 if (!pc->pmat->ops->getmultiprocblock) SETERRQ(PetscObjectComm((PetscObject)pc->pmat),PETSC_ERR_SUP,"No support for the requested operation"); 1233 ierr = (*pc->pmat->ops->getmultiprocblock)(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1234 1235 /* create a new PC that processors in each subcomm have copy of */ 1236 ierr = PetscMalloc(sizeof(KSP),&jac->ksp);CHKERRQ(ierr); 1237 ierr = KSPCreate(subcomm,&jac->ksp[0]);CHKERRQ(ierr); 1238 ierr = PetscObjectIncrementTabLevel((PetscObject)jac->ksp[0],(PetscObject)pc,1);CHKERRQ(ierr); 1239 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)jac->ksp[0]);CHKERRQ(ierr); 1240 ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats);CHKERRQ(ierr); 1241 ierr = KSPGetPC(jac->ksp[0],&mpjac->pc);CHKERRQ(ierr); 1242 1243 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 1244 ierr = KSPSetOptionsPrefix(jac->ksp[0],prefix);CHKERRQ(ierr); 1245 ierr = KSPAppendOptionsPrefix(jac->ksp[0],"sub_");CHKERRQ(ierr); 1246 /* 1247 PetscMPIInt rank,subsize,subrank; 1248 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 1249 ierr = MPI_Comm_size(subcomm,&subsize);CHKERRQ(ierr); 1250 ierr = MPI_Comm_rank(subcomm,&subrank);CHKERRQ(ierr); 1251 1252 ierr = MatGetLocalSize(mpjac->submats,&m,NULL);CHKERRQ(ierr); 1253 ierr = MatGetSize(mpjac->submats,&n,NULL);CHKERRQ(ierr); 1254 ierr = PetscSynchronizedPrintf(comm,"[%d], sub-size %d,sub-rank %d\n",rank,subsize,subrank); 1255 ierr = PetscSynchronizedFlush(comm,PETSC_STDOUT);CHKERRQ(ierr); 1256 */ 1257 1258 /* create dummy vectors xsub and ysub */ 1259 ierr = MatGetLocalSize(mpjac->submats,&m,&n);CHKERRQ(ierr); 1260 ierr = VecCreateMPIWithArray(subcomm,1,n,PETSC_DECIDE,NULL,&mpjac->xsub);CHKERRQ(ierr); 1261 ierr = VecCreateMPIWithArray(subcomm,1,m,PETSC_DECIDE,NULL,&mpjac->ysub);CHKERRQ(ierr); 1262 #ifdef PETSC_HAVE_CUSP 1263 ierr = VecSetType(mpjac->xsub,VECMPICUSP);CHKERRQ(ierr); 1264 ierr = VecSetType(mpjac->ysub,VECMPICUSP);CHKERRQ(ierr); 1265 #endif 1266 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)mpjac->xsub);CHKERRQ(ierr); 1267 ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)mpjac->ysub);CHKERRQ(ierr); 1268 1269 pc->ops->reset = PCReset_BJacobi_Multiproc; 1270 pc->ops->destroy = PCDestroy_BJacobi_Multiproc; 1271 pc->ops->apply = PCApply_BJacobi_Multiproc; 1272 } else { /* pc->setupcalled */ 1273 subcomm = mpjac->psubcomm->comm; 1274 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1275 /* destroy old matrix blocks, then get new matrix blocks */ 1276 if (mpjac->submats) {ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr);} 1277 ierr = (*pc->pmat->ops->getmultiprocblock)(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1278 } else { 1279 ierr = (*pc->pmat->ops->getmultiprocblock)(pc->pmat,subcomm,MAT_REUSE_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1280 } 1281 ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats);CHKERRQ(ierr); 1282 } 1283 1284 if (!wasSetup && pc->setfromoptionscalled) { 1285 ierr = KSPSetFromOptions(jac->ksp[0]);CHKERRQ(ierr); 1286 } 1287 PetscFunctionReturn(0); 1288 } 1289