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(((PetscObject)pc)->comm,&rank);CHKERRQ(ierr); 26 ierr = MPI_Comm_size(((PetscObject)pc)->comm,&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,((PetscObject)pc)->comm);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 = PetscMalloc(jac->n_local*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 51 for (i=0; i<jac->n_local; i++) { 52 jac->l_lens[i] = bs*((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i)); 53 } 54 } 55 } else if (jac->n > 0 && jac->n_local < 0) { /* global block count given */ 56 /* global blocks given: determine which ones are local */ 57 if (jac->g_lens) { 58 /* check if the g_lens is has valid entries */ 59 for (i=0; i<jac->n; i++) { 60 if (!jac->g_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Zero block not allowed"); 61 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"); 62 } 63 if (size == 1) { 64 jac->n_local = jac->n; 65 ierr = PetscMalloc(jac->n_local*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 66 ierr = PetscMemcpy(jac->l_lens,jac->g_lens,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr); 67 /* check that user set these correctly */ 68 sum = 0; 69 for (i=0; i<jac->n_local; i++) sum += jac->l_lens[i]; 70 if (sum != M) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Global lens set incorrectly"); 71 } else { 72 ierr = MatGetOwnershipRange(pc->pmat,&start,&end);CHKERRQ(ierr); 73 /* loop over blocks determing first one owned by me */ 74 sum = 0; 75 for (i=0; i<jac->n+1; i++) { 76 if (sum == start) { i_start = i; goto start_1;} 77 if (i < jac->n) sum += jac->g_lens[i]; 78 } 79 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 80 start_1: 81 for (i=i_start; i<jac->n+1; i++) { 82 if (sum == end) { i_end = i; goto end_1; } 83 if (i < jac->n) sum += jac->g_lens[i]; 84 } 85 SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Block sizes used in PCBJacobiSetTotalBlocks()\nare not compatible with parallel matrix layout"); 86 end_1: 87 jac->n_local = i_end - i_start; 88 ierr = PetscMalloc(jac->n_local*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 89 ierr = PetscMemcpy(jac->l_lens,jac->g_lens+i_start,jac->n_local*sizeof(PetscInt));CHKERRQ(ierr); 90 } 91 } else { /* no global blocks given, determine then using default layout */ 92 jac->n_local = jac->n/size + ((jac->n % size) > rank); 93 ierr = PetscMalloc(jac->n_local*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 94 for (i=0; i<jac->n_local; i++) { 95 jac->l_lens[i] = ((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i))*bs; 96 if (!jac->l_lens[i]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Too many blocks given"); 97 } 98 } 99 } else if (jac->n < 0 && jac->n_local < 0) { /* no blocks given */ 100 jac->n = size; 101 jac->n_local = 1; 102 ierr = PetscMalloc(sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 103 jac->l_lens[0] = M; 104 } else { /* jac->n > 0 && jac->n_local > 0 */ 105 if (!jac->l_lens) { 106 ierr = PetscMalloc(jac->n_local*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 107 for (i=0; i<jac->n_local; i++) { 108 jac->l_lens[i] = bs*((M/bs)/jac->n_local + (((M/bs) % jac->n_local) > i)); 109 } 110 } 111 } 112 if (jac->n_local < 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Number of blocks is less than number of processors"); 113 114 /* ------------------------- 115 Determines mat and pmat 116 ---------------------------*/ 117 ierr = PetscObjectQueryFunction((PetscObject)pc->mat,"MatGetDiagonalBlock_C",(void (**)(void))&f);CHKERRQ(ierr); 118 if (!f && size == 1) { 119 mat = pc->mat; 120 pmat = pc->pmat; 121 } else { 122 if (jac->use_true_local) { 123 /* use block from true matrix, not preconditioner matrix for local MatMult() */ 124 ierr = MatGetDiagonalBlock(pc->mat,&mat);CHKERRQ(ierr); 125 /* make submatrix have same prefix as entire matrix */ 126 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->mat,&mprefix);CHKERRQ(ierr); 127 ierr = PetscObjectSetOptionsPrefix((PetscObject)mat,mprefix);CHKERRQ(ierr); 128 } 129 if (pc->pmat != pc->mat || !jac->use_true_local) { 130 ierr = MatGetDiagonalBlock(pc->pmat,&pmat);CHKERRQ(ierr); 131 /* make submatrix have same prefix as entire matrix */ 132 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->pmat,&pprefix);CHKERRQ(ierr); 133 ierr = PetscObjectSetOptionsPrefix((PetscObject)pmat,pprefix);CHKERRQ(ierr); 134 } else { 135 pmat = mat; 136 } 137 } 138 139 /* ------ 140 Setup code depends on the number of blocks 141 */ 142 if (jac->n_local == 1) { 143 ierr = PCSetUp_BJacobi_Singleblock(pc,mat,pmat);CHKERRQ(ierr); 144 } else { 145 ierr = PCSetUp_BJacobi_Multiblock(pc,mat,pmat);CHKERRQ(ierr); 146 } 147 PetscFunctionReturn(0); 148 } 149 150 /* Default destroy, if it has never been setup */ 151 #undef __FUNCT__ 152 #define __FUNCT__ "PCDestroy_BJacobi" 153 static PetscErrorCode PCDestroy_BJacobi(PC pc) 154 { 155 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 156 PetscErrorCode ierr; 157 158 PetscFunctionBegin; 159 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 160 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 161 ierr = PetscFree(pc->data);CHKERRQ(ierr); 162 PetscFunctionReturn(0); 163 } 164 165 #undef __FUNCT__ 166 #define __FUNCT__ "PCSetFromOptions_BJacobi" 167 168 static PetscErrorCode PCSetFromOptions_BJacobi(PC pc) 169 { 170 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 171 PetscErrorCode ierr; 172 PetscInt blocks; 173 PetscBool flg; 174 175 PetscFunctionBegin; 176 ierr = PetscOptionsHead("Block Jacobi options");CHKERRQ(ierr); 177 ierr = PetscOptionsInt("-pc_bjacobi_blocks","Total number of blocks","PCBJacobiSetTotalBlocks",jac->n,&blocks,&flg);CHKERRQ(ierr); 178 if (flg) { 179 ierr = PCBJacobiSetTotalBlocks(pc,blocks,PETSC_NULL);CHKERRQ(ierr); 180 } 181 flg = PETSC_FALSE; 182 ierr = PetscOptionsBool("-pc_bjacobi_truelocal","Use the true matrix, not preconditioner matrix to define matrix vector product in sub-problems","PCBJacobiSetUseTrueLocal",flg,&flg,PETSC_NULL);CHKERRQ(ierr); 183 if (flg) { 184 ierr = PCBJacobiSetUseTrueLocal(pc);CHKERRQ(ierr); 185 } 186 ierr = PetscOptionsTail();CHKERRQ(ierr); 187 PetscFunctionReturn(0); 188 } 189 190 #undef __FUNCT__ 191 #define __FUNCT__ "PCView_BJacobi" 192 static PetscErrorCode PCView_BJacobi(PC pc,PetscViewer viewer) 193 { 194 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 195 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 196 PetscErrorCode ierr; 197 PetscMPIInt rank; 198 PetscInt i; 199 PetscBool iascii,isstring; 200 PetscViewer sviewer; 201 202 PetscFunctionBegin; 203 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); 204 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERSTRING,&isstring);CHKERRQ(ierr); 205 if (iascii) { 206 if (jac->use_true_local) { 207 ierr = PetscViewerASCIIPrintf(viewer," block Jacobi: using true local matrix, number of blocks = %D\n",jac->n);CHKERRQ(ierr); 208 } 209 ierr = PetscViewerASCIIPrintf(viewer," block Jacobi: number of blocks = %D\n",jac->n);CHKERRQ(ierr); 210 ierr = MPI_Comm_rank(((PetscObject)pc)->comm,&rank);CHKERRQ(ierr); 211 if (jac->same_local_solves) { 212 ierr = PetscViewerASCIIPrintf(viewer," Local solve is same for all blocks, in the following KSP and PC objects:\n");CHKERRQ(ierr); 213 if (jac->ksp && !jac->psubcomm) { 214 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 215 if (!rank){ 216 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 217 ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr); 218 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 219 } 220 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 221 } else if (jac->psubcomm && !jac->psubcomm->color){ 222 ierr = PetscViewerASCIIGetStdout(mpjac->psubcomm->comm,&sviewer);CHKERRQ(ierr); 223 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 224 ierr = KSPView(*(jac->ksp),sviewer);CHKERRQ(ierr); 225 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 226 } 227 } else { 228 PetscInt n_global; 229 ierr = MPI_Allreduce(&jac->n_local,&n_global,1,MPIU_INT,MPI_MAX,((PetscObject)pc)->comm);CHKERRQ(ierr); 230 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_TRUE);CHKERRQ(ierr); 231 ierr = PetscViewerASCIIPrintf(viewer," Local solve info for each block is in the following KSP and PC objects:\n");CHKERRQ(ierr); 232 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] number of local blocks = %D, first local block number = %D\n", 233 rank,jac->n_local,jac->first_local);CHKERRQ(ierr); 234 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 235 for (i=0; i<n_global; i++) { 236 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 237 if (i < jac->n_local) { 238 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"[%d] local block number %D\n",rank,i);CHKERRQ(ierr); 239 ierr = KSPView(jac->ksp[i],sviewer);CHKERRQ(ierr); 240 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"- - - - - - - - - - - - - - - - - -\n");CHKERRQ(ierr); 241 } 242 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 243 } 244 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 245 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 246 ierr = PetscViewerASCIISynchronizedAllow(viewer,PETSC_FALSE);CHKERRQ(ierr); 247 } 248 } else if (isstring) { 249 ierr = PetscViewerStringSPrintf(viewer," blks=%D",jac->n);CHKERRQ(ierr); 250 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 251 if (jac->ksp) {ierr = KSPView(jac->ksp[0],sviewer);CHKERRQ(ierr);} 252 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 253 } else { 254 SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_SUP,"Viewer type %s not supported for block Jacobi",((PetscObject)viewer)->type_name); 255 } 256 PetscFunctionReturn(0); 257 } 258 259 /* -------------------------------------------------------------------------------------*/ 260 261 EXTERN_C_BEGIN 262 #undef __FUNCT__ 263 #define __FUNCT__ "PCBJacobiSetUseTrueLocal_BJacobi" 264 PetscErrorCode PCBJacobiSetUseTrueLocal_BJacobi(PC pc) 265 { 266 PC_BJacobi *jac; 267 268 PetscFunctionBegin; 269 jac = (PC_BJacobi*)pc->data; 270 jac->use_true_local = PETSC_TRUE; 271 PetscFunctionReturn(0); 272 } 273 EXTERN_C_END 274 275 EXTERN_C_BEGIN 276 #undef __FUNCT__ 277 #define __FUNCT__ "PCBJacobiGetSubKSP_BJacobi" 278 PetscErrorCode PCBJacobiGetSubKSP_BJacobi(PC pc,PetscInt *n_local,PetscInt *first_local,KSP **ksp) 279 { 280 PC_BJacobi *jac = (PC_BJacobi*)pc->data;; 281 282 PetscFunctionBegin; 283 if (!pc->setupcalled) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONGSTATE,"Must call KSPSetUp() or PCSetUp() first"); 284 285 if (n_local) *n_local = jac->n_local; 286 if (first_local) *first_local = jac->first_local; 287 *ksp = jac->ksp; 288 jac->same_local_solves = PETSC_FALSE; /* Assume that local solves are now different; 289 not necessarily true though! This flag is 290 used only for PCView_BJacobi() */ 291 PetscFunctionReturn(0); 292 } 293 EXTERN_C_END 294 295 EXTERN_C_BEGIN 296 #undef __FUNCT__ 297 #define __FUNCT__ "PCBJacobiSetTotalBlocks_BJacobi" 298 PetscErrorCode PCBJacobiSetTotalBlocks_BJacobi(PC pc,PetscInt blocks,PetscInt *lens) 299 { 300 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 301 PetscErrorCode ierr; 302 303 PetscFunctionBegin; 304 305 if (pc->setupcalled > 0 && jac->n!=blocks) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ORDER,"Cannot alter number of blocks after PCSetUp()/KSPSetUp() has been called"); 306 jac->n = blocks; 307 if (!lens) { 308 jac->g_lens = 0; 309 } else { 310 ierr = PetscMalloc(blocks*sizeof(PetscInt),&jac->g_lens);CHKERRQ(ierr); 311 ierr = PetscLogObjectMemory(pc,blocks*sizeof(PetscInt));CHKERRQ(ierr); 312 ierr = PetscMemcpy(jac->g_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr); 313 } 314 PetscFunctionReturn(0); 315 } 316 EXTERN_C_END 317 318 EXTERN_C_BEGIN 319 #undef __FUNCT__ 320 #define __FUNCT__ "PCBJacobiGetTotalBlocks_BJacobi" 321 PetscErrorCode PCBJacobiGetTotalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 322 { 323 PC_BJacobi *jac = (PC_BJacobi*) pc->data; 324 325 PetscFunctionBegin; 326 *blocks = jac->n; 327 if (lens) *lens = jac->g_lens; 328 PetscFunctionReturn(0); 329 } 330 EXTERN_C_END 331 332 EXTERN_C_BEGIN 333 #undef __FUNCT__ 334 #define __FUNCT__ "PCBJacobiSetLocalBlocks_BJacobi" 335 PetscErrorCode PCBJacobiSetLocalBlocks_BJacobi(PC pc,PetscInt blocks,const PetscInt lens[]) 336 { 337 PC_BJacobi *jac; 338 PetscErrorCode ierr; 339 340 PetscFunctionBegin; 341 jac = (PC_BJacobi*)pc->data; 342 343 jac->n_local = blocks; 344 if (!lens) { 345 jac->l_lens = 0; 346 } else { 347 ierr = PetscMalloc(blocks*sizeof(PetscInt),&jac->l_lens);CHKERRQ(ierr); 348 ierr = PetscLogObjectMemory(pc,blocks*sizeof(PetscInt));CHKERRQ(ierr); 349 ierr = PetscMemcpy(jac->l_lens,lens,blocks*sizeof(PetscInt));CHKERRQ(ierr); 350 } 351 PetscFunctionReturn(0); 352 } 353 EXTERN_C_END 354 355 EXTERN_C_BEGIN 356 #undef __FUNCT__ 357 #define __FUNCT__ "PCBJacobiGetLocalBlocks_BJacobi" 358 PetscErrorCode PCBJacobiGetLocalBlocks_BJacobi(PC pc, PetscInt *blocks, const PetscInt *lens[]) 359 { 360 PC_BJacobi *jac = (PC_BJacobi*) pc->data; 361 362 PetscFunctionBegin; 363 *blocks = jac->n_local; 364 if (lens) *lens = jac->l_lens; 365 PetscFunctionReturn(0); 366 } 367 EXTERN_C_END 368 369 /* -------------------------------------------------------------------------------------*/ 370 371 #undef __FUNCT__ 372 #define __FUNCT__ "PCBJacobiSetUseTrueLocal" 373 /*@ 374 PCBJacobiSetUseTrueLocal - Sets a flag to indicate that the block 375 problem is associated with the linear system matrix instead of the 376 default (where it is associated with the preconditioning matrix). 377 That is, if the local system is solved iteratively then it iterates 378 on the block from the matrix using the block from the preconditioner 379 as the preconditioner for the local block. 380 381 Logically Collective on PC 382 383 Input Parameters: 384 . pc - the preconditioner context 385 386 Options Database Key: 387 . -pc_bjacobi_truelocal - Activates PCBJacobiSetUseTrueLocal() 388 389 Notes: 390 For the common case in which the preconditioning and linear 391 system matrices are identical, this routine is unnecessary. 392 393 Level: intermediate 394 395 .keywords: block, Jacobi, set, true, local, flag 396 397 .seealso: PCSetOperators(), PCBJacobiSetLocalBlocks() 398 @*/ 399 PetscErrorCode PCBJacobiSetUseTrueLocal(PC pc) 400 { 401 PetscErrorCode ierr; 402 403 PetscFunctionBegin; 404 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 405 ierr = PetscTryMethod(pc,"PCBJacobiSetUseTrueLocal_C",(PC),(pc));CHKERRQ(ierr); 406 PetscFunctionReturn(0); 407 } 408 409 #undef __FUNCT__ 410 #define __FUNCT__ "PCBJacobiGetSubKSP" 411 /*@C 412 PCBJacobiGetSubKSP - Gets the local KSP contexts for all blocks on 413 this processor. 414 415 Note Collective 416 417 Input Parameter: 418 . pc - the preconditioner context 419 420 Output Parameters: 421 + n_local - the number of blocks on this processor, or PETSC_NULL 422 . first_local - the global number of the first block on this processor, or PETSC_NULL 423 - ksp - the array of KSP contexts 424 425 Notes: 426 After PCBJacobiGetSubKSP() the array of KSP contexts is not to be freed. 427 428 Currently for some matrix implementations only 1 block per processor 429 is supported. 430 431 You must call KSPSetUp() or PCSetUp() before calling PCBJacobiGetSubKSP(). 432 433 Level: advanced 434 435 .keywords: block, Jacobi, get, sub, KSP, context 436 437 .seealso: PCBJacobiGetSubKSP() 438 @*/ 439 PetscErrorCode PCBJacobiGetSubKSP(PC pc,PetscInt *n_local,PetscInt *first_local,KSP *ksp[]) 440 { 441 PetscErrorCode ierr; 442 443 PetscFunctionBegin; 444 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 445 ierr = PetscUseMethod(pc,"PCBJacobiGetSubKSP_C",(PC,PetscInt *,PetscInt *,KSP **),(pc,n_local,first_local,ksp));CHKERRQ(ierr); 446 PetscFunctionReturn(0); 447 } 448 449 #undef __FUNCT__ 450 #define __FUNCT__ "PCBJacobiSetTotalBlocks" 451 /*@ 452 PCBJacobiSetTotalBlocks - Sets the global number of blocks for the block 453 Jacobi preconditioner. 454 455 Collective on PC 456 457 Input Parameters: 458 + pc - the preconditioner context 459 . blocks - the number of blocks 460 - lens - [optional] integer array containing the size of each block 461 462 Options Database Key: 463 . -pc_bjacobi_blocks <blocks> - Sets the number of global blocks 464 465 Notes: 466 Currently only a limited number of blocking configurations are supported. 467 All processors sharing the PC must call this routine with the same data. 468 469 Level: intermediate 470 471 .keywords: set, number, Jacobi, global, total, blocks 472 473 .seealso: PCBJacobiSetUseTrueLocal(), PCBJacobiSetLocalBlocks() 474 @*/ 475 PetscErrorCode PCBJacobiSetTotalBlocks(PC pc,PetscInt blocks,const PetscInt lens[]) 476 { 477 PetscErrorCode ierr; 478 479 PetscFunctionBegin; 480 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 481 if (blocks <= 0) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Must have positive blocks"); 482 ierr = PetscTryMethod(pc,"PCBJacobiSetTotalBlocks_C",(PC,PetscInt,const PetscInt[]),(pc,blocks,lens));CHKERRQ(ierr); 483 PetscFunctionReturn(0); 484 } 485 486 #undef __FUNCT__ 487 #define __FUNCT__ "PCBJacobiGetTotalBlocks" 488 /*@C 489 PCBJacobiGetTotalBlocks - Gets the global number of blocks for the block 490 Jacobi preconditioner. 491 492 Not Collective 493 494 Input Parameter: 495 . pc - the preconditioner context 496 497 Output parameters: 498 + blocks - the number of blocks 499 - lens - integer array containing the size of each block 500 501 Level: intermediate 502 503 .keywords: get, number, Jacobi, global, total, blocks 504 505 .seealso: PCBJacobiSetUseTrueLocal(), PCBJacobiGetLocalBlocks() 506 @*/ 507 PetscErrorCode PCBJacobiGetTotalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 508 { 509 PetscErrorCode ierr; 510 511 PetscFunctionBegin; 512 PetscValidHeaderSpecific(pc, PC_CLASSID,1); 513 PetscValidIntPointer(blocks,2); 514 ierr = PetscUseMethod(pc,"PCBJacobiGetTotalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr); 515 PetscFunctionReturn(0); 516 } 517 518 #undef __FUNCT__ 519 #define __FUNCT__ "PCBJacobiSetLocalBlocks" 520 /*@ 521 PCBJacobiSetLocalBlocks - Sets the local number of blocks for the block 522 Jacobi preconditioner. 523 524 Not Collective 525 526 Input Parameters: 527 + pc - the preconditioner context 528 . blocks - the number of blocks 529 - lens - [optional] integer array containing size of each block 530 531 Note: 532 Currently only a limited number of blocking configurations are supported. 533 534 Level: intermediate 535 536 .keywords: PC, set, number, Jacobi, local, blocks 537 538 .seealso: PCBJacobiSetUseTrueLocal(), PCBJacobiSetTotalBlocks() 539 @*/ 540 PetscErrorCode PCBJacobiSetLocalBlocks(PC pc,PetscInt blocks,const PetscInt lens[]) 541 { 542 PetscErrorCode ierr; 543 544 PetscFunctionBegin; 545 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 546 if (blocks < 0) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Must have nonegative blocks"); 547 ierr = PetscTryMethod(pc,"PCBJacobiSetLocalBlocks_C",(PC,PetscInt,const PetscInt []),(pc,blocks,lens));CHKERRQ(ierr); 548 PetscFunctionReturn(0); 549 } 550 551 #undef __FUNCT__ 552 #define __FUNCT__ "PCBJacobiGetLocalBlocks" 553 /*@C 554 PCBJacobiGetLocalBlocks - Gets the local number of blocks for the block 555 Jacobi preconditioner. 556 557 Not Collective 558 559 Input Parameters: 560 + pc - the preconditioner context 561 . blocks - the number of blocks 562 - lens - [optional] integer array containing size of each block 563 564 Note: 565 Currently only a limited number of blocking configurations are supported. 566 567 Level: intermediate 568 569 .keywords: PC, get, number, Jacobi, local, blocks 570 571 .seealso: PCBJacobiSetUseTrueLocal(), PCBJacobiGetTotalBlocks() 572 @*/ 573 PetscErrorCode PCBJacobiGetLocalBlocks(PC pc, PetscInt *blocks, const PetscInt *lens[]) 574 { 575 PetscErrorCode ierr; 576 577 PetscFunctionBegin; 578 PetscValidHeaderSpecific(pc, PC_CLASSID,1); 579 PetscValidIntPointer(blocks,2); 580 ierr = PetscUseMethod(pc,"PCBJacobiGetLocalBlocks_C",(PC,PetscInt*, const PetscInt *[]),(pc,blocks,lens));CHKERRQ(ierr); 581 PetscFunctionReturn(0); 582 } 583 584 /* -----------------------------------------------------------------------------------*/ 585 586 /*MC 587 PCBJACOBI - Use block Jacobi preconditioning, each block is (approximately) solved with 588 its own KSP object. 589 590 Options Database Keys: 591 . -pc_bjacobi_truelocal - Activates PCBJacobiSetUseTrueLocal() 592 593 Notes: Each processor can have one or more blocks, but a block cannot be shared by more 594 than one processor. Defaults to one block per processor. 595 596 To set options on the solvers for each block append -sub_ to all the KSP, KSP, and PC 597 options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly 598 599 To set the options on the solvers separate for each block call PCBJacobiGetSubKSP() 600 and set the options directly on the resulting KSP object (you can access its PC 601 KSPGetPC()) 602 603 Level: beginner 604 605 Concepts: block Jacobi 606 607 Developer Notes: This preconditioner does not currently work with CUDA/CUSP for a couple of reasons. 608 (1) It creates seq vectors as work vectors that should be cusp 609 (2) The use of VecPlaceArray() is not handled properly by CUSP (that is it will not know where 610 the ownership of the vector is so may use wrong values) even if it did know the ownership 611 it may induce extra copy ups and downs. Satish suggests a VecTransplantArray() to handle two 612 vectors sharing the same pointer and handling the CUSP side as well instead of VecGetArray()/VecPlaceArray(). 613 614 615 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, 616 PCASM, PCBJacobiSetUseTrueLocal(), PCBJacobiGetSubKSP(), PCBJacobiSetTotalBlocks(), 617 PCBJacobiSetLocalBlocks(), PCSetModifySubmatrices() 618 M*/ 619 620 EXTERN_C_BEGIN 621 #undef __FUNCT__ 622 #define __FUNCT__ "PCCreate_BJacobi" 623 PetscErrorCode PCCreate_BJacobi(PC pc) 624 { 625 PetscErrorCode ierr; 626 PetscMPIInt rank; 627 PC_BJacobi *jac; 628 629 PetscFunctionBegin; 630 ierr = PetscNewLog(pc,PC_BJacobi,&jac);CHKERRQ(ierr); 631 ierr = MPI_Comm_rank(((PetscObject)pc)->comm,&rank);CHKERRQ(ierr); 632 pc->ops->apply = 0; 633 pc->ops->applytranspose = 0; 634 pc->ops->setup = PCSetUp_BJacobi; 635 pc->ops->destroy = PCDestroy_BJacobi; 636 pc->ops->setfromoptions = PCSetFromOptions_BJacobi; 637 pc->ops->view = PCView_BJacobi; 638 pc->ops->applyrichardson = 0; 639 640 pc->data = (void*)jac; 641 jac->n = -1; 642 jac->n_local = -1; 643 jac->first_local = rank; 644 jac->ksp = 0; 645 jac->use_true_local = PETSC_FALSE; 646 jac->same_local_solves = PETSC_TRUE; 647 jac->g_lens = 0; 648 jac->l_lens = 0; 649 jac->psubcomm = 0; 650 651 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiSetUseTrueLocal_C", 652 "PCBJacobiSetUseTrueLocal_BJacobi", 653 PCBJacobiSetUseTrueLocal_BJacobi);CHKERRQ(ierr); 654 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiGetSubKSP_C","PCBJacobiGetSubKSP_BJacobi", 655 PCBJacobiGetSubKSP_BJacobi);CHKERRQ(ierr); 656 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiSetTotalBlocks_C","PCBJacobiSetTotalBlocks_BJacobi", 657 PCBJacobiSetTotalBlocks_BJacobi);CHKERRQ(ierr); 658 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiGetTotalBlocks_C","PCBJacobiGetTotalBlocks_BJacobi", 659 PCBJacobiGetTotalBlocks_BJacobi);CHKERRQ(ierr); 660 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiSetLocalBlocks_C","PCBJacobiSetLocalBlocks_BJacobi", 661 PCBJacobiSetLocalBlocks_BJacobi);CHKERRQ(ierr); 662 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCBJacobiGetLocalBlocks_C","PCBJacobiGetLocalBlocks_BJacobi", 663 PCBJacobiGetLocalBlocks_BJacobi);CHKERRQ(ierr); 664 665 PetscFunctionReturn(0); 666 } 667 EXTERN_C_END 668 669 /* --------------------------------------------------------------------------------------------*/ 670 /* 671 These are for a single block per processor; works for AIJ, BAIJ; Seq and MPI 672 */ 673 #undef __FUNCT__ 674 #define __FUNCT__ "PCReset_BJacobi_Singleblock" 675 PetscErrorCode PCReset_BJacobi_Singleblock(PC pc) 676 { 677 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 678 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 679 PetscErrorCode ierr; 680 681 PetscFunctionBegin; 682 ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr); 683 ierr = VecDestroy(&bjac->x);CHKERRQ(ierr); 684 ierr = VecDestroy(&bjac->y);CHKERRQ(ierr); 685 PetscFunctionReturn(0); 686 } 687 688 #undef __FUNCT__ 689 #define __FUNCT__ "PCDestroy_BJacobi_Singleblock" 690 PetscErrorCode PCDestroy_BJacobi_Singleblock(PC pc) 691 { 692 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 693 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 694 PetscErrorCode ierr; 695 696 PetscFunctionBegin; 697 ierr = PCReset_BJacobi_Singleblock(pc);CHKERRQ(ierr); 698 ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr); 699 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 700 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 701 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 702 ierr = PetscFree(bjac);CHKERRQ(ierr); 703 ierr = PetscFree(pc->data);CHKERRQ(ierr); 704 PetscFunctionReturn(0); 705 } 706 707 #undef __FUNCT__ 708 #define __FUNCT__ "PCSetUpOnBlocks_BJacobi_Singleblock" 709 PetscErrorCode PCSetUpOnBlocks_BJacobi_Singleblock(PC pc) 710 { 711 PetscErrorCode ierr; 712 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 713 714 PetscFunctionBegin; 715 ierr = KSPSetUp(jac->ksp[0]);CHKERRQ(ierr); 716 PetscFunctionReturn(0); 717 } 718 719 #undef __FUNCT__ 720 #define __FUNCT__ "PCApply_BJacobi_Singleblock" 721 PetscErrorCode PCApply_BJacobi_Singleblock(PC pc,Vec x,Vec y) 722 { 723 PetscErrorCode ierr; 724 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 725 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 726 PetscScalar *x_array,*y_array; 727 PetscFunctionBegin; 728 /* 729 The VecPlaceArray() is to avoid having to copy the 730 y vector into the bjac->x vector. The reason for 731 the bjac->x vector is that we need a sequential vector 732 for the sequential solve. 733 */ 734 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 735 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 736 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 737 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 738 ierr = KSPSolve(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr); 739 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 740 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 741 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 742 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 743 PetscFunctionReturn(0); 744 } 745 746 #undef __FUNCT__ 747 #define __FUNCT__ "PCApplySymmetricLeft_BJacobi_Singleblock" 748 PetscErrorCode PCApplySymmetricLeft_BJacobi_Singleblock(PC pc,Vec x,Vec y) 749 { 750 PetscErrorCode ierr; 751 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 752 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 753 PetscScalar *x_array,*y_array; 754 PC subpc; 755 756 PetscFunctionBegin; 757 /* 758 The VecPlaceArray() is to avoid having to copy the 759 y vector into the bjac->x vector. The reason for 760 the bjac->x vector is that we need a sequential vector 761 for the sequential solve. 762 */ 763 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 764 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 765 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 766 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 767 /* apply the symmetric left portion of the inner PC operator */ 768 /* note this by-passes the inner KSP and its options completely */ 769 ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr); 770 ierr = PCApplySymmetricLeft(subpc,bjac->x,bjac->y);CHKERRQ(ierr); 771 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 772 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 773 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 774 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 775 PetscFunctionReturn(0); 776 } 777 778 #undef __FUNCT__ 779 #define __FUNCT__ "PCApplySymmetricRight_BJacobi_Singleblock" 780 PetscErrorCode PCApplySymmetricRight_BJacobi_Singleblock(PC pc,Vec x,Vec y) 781 { 782 PetscErrorCode ierr; 783 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 784 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 785 PetscScalar *x_array,*y_array; 786 PC subpc; 787 788 PetscFunctionBegin; 789 /* 790 The VecPlaceArray() is to avoid having to copy the 791 y vector into the bjac->x vector. The reason for 792 the bjac->x vector is that we need a sequential vector 793 for the sequential solve. 794 */ 795 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 796 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 797 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 798 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 799 800 /* apply the symmetric right portion of the inner PC operator */ 801 /* note this by-passes the inner KSP and its options completely */ 802 803 ierr = KSPGetPC(jac->ksp[0],&subpc);CHKERRQ(ierr); 804 ierr = PCApplySymmetricRight(subpc,bjac->x,bjac->y);CHKERRQ(ierr); 805 806 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 807 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 808 PetscFunctionReturn(0); 809 } 810 811 #undef __FUNCT__ 812 #define __FUNCT__ "PCApplyTranspose_BJacobi_Singleblock" 813 PetscErrorCode PCApplyTranspose_BJacobi_Singleblock(PC pc,Vec x,Vec y) 814 { 815 PetscErrorCode ierr; 816 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 817 PC_BJacobi_Singleblock *bjac = (PC_BJacobi_Singleblock*)jac->data; 818 PetscScalar *x_array,*y_array; 819 820 PetscFunctionBegin; 821 /* 822 The VecPlaceArray() is to avoid having to copy the 823 y vector into the bjac->x vector. The reason for 824 the bjac->x vector is that we need a sequential vector 825 for the sequential solve. 826 */ 827 ierr = VecGetArray(x,&x_array);CHKERRQ(ierr); 828 ierr = VecGetArray(y,&y_array);CHKERRQ(ierr); 829 ierr = VecPlaceArray(bjac->x,x_array);CHKERRQ(ierr); 830 ierr = VecPlaceArray(bjac->y,y_array);CHKERRQ(ierr); 831 ierr = KSPSolveTranspose(jac->ksp[0],bjac->x,bjac->y);CHKERRQ(ierr); 832 ierr = VecResetArray(bjac->x);CHKERRQ(ierr); 833 ierr = VecResetArray(bjac->y);CHKERRQ(ierr); 834 ierr = VecRestoreArray(x,&x_array);CHKERRQ(ierr); 835 ierr = VecRestoreArray(y,&y_array);CHKERRQ(ierr); 836 PetscFunctionReturn(0); 837 } 838 839 #undef __FUNCT__ 840 #define __FUNCT__ "PCSetUp_BJacobi_Singleblock" 841 static PetscErrorCode PCSetUp_BJacobi_Singleblock(PC pc,Mat mat,Mat pmat) 842 { 843 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 844 PetscErrorCode ierr; 845 PetscInt m; 846 KSP ksp; 847 PC_BJacobi_Singleblock *bjac; 848 PetscBool wasSetup = PETSC_TRUE; 849 850 PetscFunctionBegin; 851 852 if (!pc->setupcalled) { 853 const char *prefix; 854 855 if (!jac->ksp) { 856 wasSetup = PETSC_FALSE; 857 ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr); 858 ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr); 859 ierr = PetscLogObjectParent(pc,ksp);CHKERRQ(ierr); 860 ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr); 861 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 862 ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr); 863 ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr); 864 865 pc->ops->reset = PCReset_BJacobi_Singleblock; 866 pc->ops->destroy = PCDestroy_BJacobi_Singleblock; 867 pc->ops->apply = PCApply_BJacobi_Singleblock; 868 pc->ops->applysymmetricleft = PCApplySymmetricLeft_BJacobi_Singleblock; 869 pc->ops->applysymmetricright = PCApplySymmetricRight_BJacobi_Singleblock; 870 pc->ops->applytranspose = PCApplyTranspose_BJacobi_Singleblock; 871 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Singleblock; 872 873 ierr = PetscMalloc(sizeof(KSP),&jac->ksp);CHKERRQ(ierr); 874 jac->ksp[0] = ksp; 875 876 ierr = PetscNewLog(pc,PC_BJacobi_Singleblock,&bjac);CHKERRQ(ierr); 877 jac->data = (void*)bjac; 878 } else { 879 ksp = jac->ksp[0]; 880 bjac = (PC_BJacobi_Singleblock *)jac->data; 881 } 882 883 /* 884 The reason we need to generate these vectors is to serve 885 as the right-hand side and solution vector for the solve on the 886 block. We do not need to allocate space for the vectors since 887 that is provided via VecPlaceArray() just before the call to 888 KSPSolve() on the block. 889 */ 890 ierr = MatGetSize(pmat,&m,&m);CHKERRQ(ierr); 891 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,PETSC_NULL,&bjac->x);CHKERRQ(ierr); 892 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,PETSC_NULL,&bjac->y);CHKERRQ(ierr); 893 ierr = PetscLogObjectParent(pc,bjac->x);CHKERRQ(ierr); 894 ierr = PetscLogObjectParent(pc,bjac->y);CHKERRQ(ierr); 895 } else { 896 ksp = jac->ksp[0]; 897 bjac = (PC_BJacobi_Singleblock *)jac->data; 898 } 899 if (jac->use_true_local) { 900 ierr = KSPSetOperators(ksp,mat,pmat,pc->flag);CHKERRQ(ierr); 901 } else { 902 ierr = KSPSetOperators(ksp,pmat,pmat,pc->flag);CHKERRQ(ierr); 903 } 904 if (!wasSetup && pc->setfromoptionscalled) { 905 ierr = KSPSetFromOptions(ksp);CHKERRQ(ierr); 906 } 907 PetscFunctionReturn(0); 908 } 909 910 /* ---------------------------------------------------------------------------------------------*/ 911 #undef __FUNCT__ 912 #define __FUNCT__ "PCReset_BJacobi_Multiblock" 913 PetscErrorCode PCReset_BJacobi_Multiblock(PC pc) 914 { 915 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 916 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 917 PetscErrorCode ierr; 918 PetscInt i; 919 920 PetscFunctionBegin; 921 if (bjac && bjac->pmat) { 922 ierr = MatDestroyMatrices(jac->n_local,&bjac->pmat);CHKERRQ(ierr); 923 if (jac->use_true_local) { 924 ierr = MatDestroyMatrices(jac->n_local,&bjac->mat);CHKERRQ(ierr); 925 } 926 } 927 928 for (i=0; i<jac->n_local; i++) { 929 ierr = KSPReset(jac->ksp[i]);CHKERRQ(ierr); 930 if (bjac && bjac->x) { 931 ierr = VecDestroy(&bjac->x[i]);CHKERRQ(ierr); 932 ierr = VecDestroy(&bjac->y[i]);CHKERRQ(ierr); 933 ierr = ISDestroy(&bjac->is[i]);CHKERRQ(ierr); 934 } 935 } 936 ierr = PetscFree(jac->l_lens);CHKERRQ(ierr); 937 ierr = PetscFree(jac->g_lens);CHKERRQ(ierr); 938 PetscFunctionReturn(0); 939 } 940 941 #undef __FUNCT__ 942 #define __FUNCT__ "PCDestroy_BJacobi_Multiblock" 943 PetscErrorCode PCDestroy_BJacobi_Multiblock(PC pc) 944 { 945 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 946 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 947 PetscErrorCode ierr; 948 PetscInt i; 949 950 PetscFunctionBegin; 951 ierr = PCReset_BJacobi_Multiblock(pc);CHKERRQ(ierr); 952 if (bjac) { 953 ierr = PetscFree2(bjac->x,bjac->y);CHKERRQ(ierr); 954 ierr = PetscFree(bjac->starts);CHKERRQ(ierr); 955 ierr = PetscFree(bjac->is);CHKERRQ(ierr); 956 } 957 ierr = PetscFree(jac->data);CHKERRQ(ierr); 958 for (i=0; i<jac->n_local; i++) { 959 ierr = KSPDestroy(&jac->ksp[i]);CHKERRQ(ierr); 960 } 961 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 962 ierr = PetscFree(pc->data);CHKERRQ(ierr); 963 PetscFunctionReturn(0); 964 } 965 966 #undef __FUNCT__ 967 #define __FUNCT__ "PCSetUpOnBlocks_BJacobi_Multiblock" 968 PetscErrorCode PCSetUpOnBlocks_BJacobi_Multiblock(PC pc) 969 { 970 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 971 PetscErrorCode ierr; 972 PetscInt i,n_local = jac->n_local; 973 974 PetscFunctionBegin; 975 for (i=0; i<n_local; i++) { 976 ierr = KSPSetUp(jac->ksp[i]);CHKERRQ(ierr); 977 } 978 PetscFunctionReturn(0); 979 } 980 981 /* 982 Preconditioner for block Jacobi 983 */ 984 #undef __FUNCT__ 985 #define __FUNCT__ "PCApply_BJacobi_Multiblock" 986 PetscErrorCode PCApply_BJacobi_Multiblock(PC pc,Vec x,Vec y) 987 { 988 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 989 PetscErrorCode ierr; 990 PetscInt i,n_local = jac->n_local; 991 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 992 PetscScalar *xin,*yin; 993 994 PetscFunctionBegin; 995 ierr = VecGetArray(x,&xin);CHKERRQ(ierr); 996 ierr = VecGetArray(y,&yin);CHKERRQ(ierr); 997 for (i=0; i<n_local; i++) { 998 /* 999 To avoid copying the subvector from x into a workspace we instead 1000 make the workspace vector array point to the subpart of the array of 1001 the global vector. 1002 */ 1003 ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr); 1004 ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr); 1005 1006 ierr = PetscLogEventBegin(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 1007 ierr = KSPSolve(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr); 1008 ierr = PetscLogEventEnd(PC_ApplyOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 1009 1010 ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr); 1011 ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr); 1012 } 1013 ierr = VecRestoreArray(x,&xin);CHKERRQ(ierr); 1014 ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr); 1015 PetscFunctionReturn(0); 1016 } 1017 1018 /* 1019 Preconditioner for block Jacobi 1020 */ 1021 #undef __FUNCT__ 1022 #define __FUNCT__ "PCApplyTranspose_BJacobi_Multiblock" 1023 PetscErrorCode PCApplyTranspose_BJacobi_Multiblock(PC pc,Vec x,Vec y) 1024 { 1025 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1026 PetscErrorCode ierr; 1027 PetscInt i,n_local = jac->n_local; 1028 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 1029 PetscScalar *xin,*yin; 1030 1031 PetscFunctionBegin; 1032 ierr = VecGetArray(x,&xin);CHKERRQ(ierr); 1033 ierr = VecGetArray(y,&yin);CHKERRQ(ierr); 1034 for (i=0; i<n_local; i++) { 1035 /* 1036 To avoid copying the subvector from x into a workspace we instead 1037 make the workspace vector array point to the subpart of the array of 1038 the global vector. 1039 */ 1040 ierr = VecPlaceArray(bjac->x[i],xin+bjac->starts[i]);CHKERRQ(ierr); 1041 ierr = VecPlaceArray(bjac->y[i],yin+bjac->starts[i]);CHKERRQ(ierr); 1042 1043 ierr = PetscLogEventBegin(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 1044 ierr = KSPSolveTranspose(jac->ksp[i],bjac->x[i],bjac->y[i]);CHKERRQ(ierr); 1045 ierr = PetscLogEventEnd(PC_ApplyTransposeOnBlocks,jac->ksp[i],bjac->x[i],bjac->y[i],0);CHKERRQ(ierr); 1046 1047 ierr = VecResetArray(bjac->x[i]);CHKERRQ(ierr); 1048 ierr = VecResetArray(bjac->y[i]);CHKERRQ(ierr); 1049 } 1050 ierr = VecRestoreArray(x,&xin);CHKERRQ(ierr); 1051 ierr = VecRestoreArray(y,&yin);CHKERRQ(ierr); 1052 PetscFunctionReturn(0); 1053 } 1054 1055 #undef __FUNCT__ 1056 #define __FUNCT__ "PCSetUp_BJacobi_Multiblock" 1057 static PetscErrorCode PCSetUp_BJacobi_Multiblock(PC pc,Mat mat,Mat pmat) 1058 { 1059 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1060 PetscErrorCode ierr; 1061 PetscInt m,n_local,N,M,start,i; 1062 const char *prefix,*pprefix,*mprefix; 1063 KSP ksp; 1064 Vec x,y; 1065 PC_BJacobi_Multiblock *bjac = (PC_BJacobi_Multiblock*)jac->data; 1066 PC subpc; 1067 IS is; 1068 MatReuse scall; 1069 1070 PetscFunctionBegin; 1071 ierr = MatGetLocalSize(pc->pmat,&M,&N);CHKERRQ(ierr); 1072 1073 n_local = jac->n_local; 1074 1075 if (jac->use_true_local) { 1076 PetscBool same; 1077 ierr = PetscObjectTypeCompare((PetscObject)mat,((PetscObject)pmat)->type_name,&same);CHKERRQ(ierr); 1078 if (!same) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_INCOMP,"Matrices not of same type"); 1079 } 1080 1081 if (!pc->setupcalled) { 1082 scall = MAT_INITIAL_MATRIX; 1083 1084 if (!jac->ksp) { 1085 pc->ops->reset = PCReset_BJacobi_Multiblock; 1086 pc->ops->destroy = PCDestroy_BJacobi_Multiblock; 1087 pc->ops->apply = PCApply_BJacobi_Multiblock; 1088 pc->ops->applytranspose= PCApplyTranspose_BJacobi_Multiblock; 1089 pc->ops->setuponblocks = PCSetUpOnBlocks_BJacobi_Multiblock; 1090 1091 ierr = PetscNewLog(pc,PC_BJacobi_Multiblock,&bjac);CHKERRQ(ierr); 1092 ierr = PetscMalloc(n_local*sizeof(KSP),&jac->ksp);CHKERRQ(ierr); 1093 ierr = PetscLogObjectMemory(pc,sizeof(n_local*sizeof(KSP)));CHKERRQ(ierr); 1094 ierr = PetscMalloc2(n_local,Vec,&bjac->x,n_local,Vec,&bjac->y);CHKERRQ(ierr); 1095 ierr = PetscMalloc(n_local*sizeof(PetscScalar),&bjac->starts);CHKERRQ(ierr); 1096 ierr = PetscLogObjectMemory(pc,sizeof(n_local*sizeof(PetscScalar)));CHKERRQ(ierr); 1097 1098 jac->data = (void*)bjac; 1099 ierr = PetscMalloc(n_local*sizeof(IS),&bjac->is);CHKERRQ(ierr); 1100 ierr = PetscLogObjectMemory(pc,sizeof(n_local*sizeof(IS)));CHKERRQ(ierr); 1101 1102 for (i=0; i<n_local; i++) { 1103 ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr); 1104 ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr); 1105 ierr = PetscLogObjectParent(pc,ksp);CHKERRQ(ierr); 1106 ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr); 1107 ierr = KSPGetPC(ksp,&subpc);CHKERRQ(ierr); 1108 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 1109 ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr); 1110 ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr); 1111 jac->ksp[i] = ksp; 1112 } 1113 } else { 1114 bjac = (PC_BJacobi_Multiblock*)jac->data; 1115 } 1116 1117 start = 0; 1118 for (i=0; i<n_local; i++) { 1119 m = jac->l_lens[i]; 1120 /* 1121 The reason we need to generate these vectors is to serve 1122 as the right-hand side and solution vector for the solve on the 1123 block. We do not need to allocate space for the vectors since 1124 that is provided via VecPlaceArray() just before the call to 1125 KSPSolve() on the block. 1126 1127 */ 1128 ierr = VecCreateSeq(PETSC_COMM_SELF,m,&x);CHKERRQ(ierr); 1129 ierr = VecCreateSeqWithArray(PETSC_COMM_SELF,1,m,PETSC_NULL,&y);CHKERRQ(ierr); 1130 ierr = PetscLogObjectParent(pc,x);CHKERRQ(ierr); 1131 ierr = PetscLogObjectParent(pc,y);CHKERRQ(ierr); 1132 bjac->x[i] = x; 1133 bjac->y[i] = y; 1134 bjac->starts[i] = start; 1135 1136 ierr = ISCreateStride(PETSC_COMM_SELF,m,start,1,&is);CHKERRQ(ierr); 1137 bjac->is[i] = is; 1138 ierr = PetscLogObjectParent(pc,is);CHKERRQ(ierr); 1139 1140 start += m; 1141 } 1142 } else { 1143 bjac = (PC_BJacobi_Multiblock*)jac->data; 1144 /* 1145 Destroy the blocks from the previous iteration 1146 */ 1147 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1148 ierr = MatDestroyMatrices(n_local,&bjac->pmat);CHKERRQ(ierr); 1149 if (jac->use_true_local) { 1150 ierr = MatDestroyMatrices(n_local,&bjac->mat);CHKERRQ(ierr); 1151 } 1152 scall = MAT_INITIAL_MATRIX; 1153 } else { 1154 scall = MAT_REUSE_MATRIX; 1155 } 1156 } 1157 1158 ierr = MatGetSubMatrices(pmat,n_local,bjac->is,bjac->is,scall,&bjac->pmat);CHKERRQ(ierr); 1159 if (jac->use_true_local) { 1160 ierr = PetscObjectGetOptionsPrefix((PetscObject)mat,&mprefix);CHKERRQ(ierr); 1161 ierr = MatGetSubMatrices(mat,n_local,bjac->is,bjac->is,scall,&bjac->mat);CHKERRQ(ierr); 1162 } 1163 /* Return control to the user so that the submatrices can be modified (e.g., to apply 1164 different boundary conditions for the submatrices than for the global problem) */ 1165 ierr = PCModifySubMatrices(pc,n_local,bjac->is,bjac->is,bjac->pmat,pc->modifysubmatricesP);CHKERRQ(ierr); 1166 1167 ierr = PetscObjectGetOptionsPrefix((PetscObject)pmat,&pprefix);CHKERRQ(ierr); 1168 for (i=0; i<n_local; i++) { 1169 ierr = PetscLogObjectParent(pc,bjac->pmat[i]);CHKERRQ(ierr); 1170 ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->pmat[i],pprefix);CHKERRQ(ierr); 1171 if (jac->use_true_local) { 1172 ierr = PetscLogObjectParent(pc,bjac->mat[i]);CHKERRQ(ierr); 1173 ierr = PetscObjectSetOptionsPrefix((PetscObject)bjac->mat[i],mprefix);CHKERRQ(ierr); 1174 ierr = KSPSetOperators(jac->ksp[i],bjac->mat[i],bjac->pmat[i],pc->flag);CHKERRQ(ierr); 1175 } else { 1176 ierr = KSPSetOperators(jac->ksp[i],bjac->pmat[i],bjac->pmat[i],pc->flag);CHKERRQ(ierr); 1177 } 1178 if(pc->setfromoptionscalled){ 1179 ierr = KSPSetFromOptions(jac->ksp[i]);CHKERRQ(ierr); 1180 } 1181 } 1182 PetscFunctionReturn(0); 1183 } 1184 1185 /* ---------------------------------------------------------------------------------------------*/ 1186 /* 1187 These are for a single block with multiple processes; 1188 */ 1189 #undef __FUNCT__ 1190 #define __FUNCT__ "PCReset_BJacobi_Multiproc" 1191 static PetscErrorCode PCReset_BJacobi_Multiproc(PC pc) 1192 { 1193 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1194 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1195 PetscErrorCode ierr; 1196 1197 PetscFunctionBegin; 1198 ierr = VecDestroy(&mpjac->ysub);CHKERRQ(ierr); 1199 ierr = VecDestroy(&mpjac->xsub);CHKERRQ(ierr); 1200 ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr); 1201 if (jac->ksp){ierr = KSPReset(jac->ksp[0]);CHKERRQ(ierr);} 1202 PetscFunctionReturn(0); 1203 } 1204 1205 #undef __FUNCT__ 1206 #define __FUNCT__ "PCDestroy_BJacobi_Multiproc" 1207 static PetscErrorCode PCDestroy_BJacobi_Multiproc(PC pc) 1208 { 1209 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1210 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1211 PetscErrorCode ierr; 1212 1213 PetscFunctionBegin; 1214 ierr = PCReset_BJacobi_Multiproc(pc);CHKERRQ(ierr); 1215 ierr = KSPDestroy(&jac->ksp[0]);CHKERRQ(ierr); 1216 ierr = PetscFree(jac->ksp);CHKERRQ(ierr); 1217 ierr = PetscSubcommDestroy(&mpjac->psubcomm);CHKERRQ(ierr); 1218 1219 ierr = PetscFree(mpjac);CHKERRQ(ierr); 1220 ierr = PetscFree(pc->data);CHKERRQ(ierr); 1221 PetscFunctionReturn(0); 1222 } 1223 1224 #undef __FUNCT__ 1225 #define __FUNCT__ "PCApply_BJacobi_Multiproc" 1226 static PetscErrorCode PCApply_BJacobi_Multiproc(PC pc,Vec x,Vec y) 1227 { 1228 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1229 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1230 PetscErrorCode ierr; 1231 PetscScalar *xarray,*yarray; 1232 1233 PetscFunctionBegin; 1234 /* place x's and y's local arrays into xsub and ysub */ 1235 ierr = VecGetArray(x,&xarray);CHKERRQ(ierr); 1236 ierr = VecGetArray(y,&yarray);CHKERRQ(ierr); 1237 ierr = VecPlaceArray(mpjac->xsub,xarray);CHKERRQ(ierr); 1238 ierr = VecPlaceArray(mpjac->ysub,yarray);CHKERRQ(ierr); 1239 1240 /* apply preconditioner on each matrix block */ 1241 ierr = PetscLogEventBegin(PC_ApplyOnMproc,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr); 1242 ierr = KSPSolve(jac->ksp[0],mpjac->xsub,mpjac->ysub);CHKERRQ(ierr); 1243 ierr = PetscLogEventEnd(PC_ApplyOnMproc,jac->ksp[0],mpjac->xsub,mpjac->ysub,0);CHKERRQ(ierr); 1244 1245 ierr = VecResetArray(mpjac->xsub);CHKERRQ(ierr); 1246 ierr = VecResetArray(mpjac->ysub);CHKERRQ(ierr); 1247 ierr = VecRestoreArray(x,&xarray);CHKERRQ(ierr); 1248 ierr = VecRestoreArray(y,&yarray);CHKERRQ(ierr); 1249 PetscFunctionReturn(0); 1250 } 1251 1252 extern PetscErrorCode MatGetMultiProcBlock_MPIAIJ(Mat,MPI_Comm,MatReuse,Mat*); 1253 #undef __FUNCT__ 1254 #define __FUNCT__ "PCSetUp_BJacobi_Multiproc" 1255 static PetscErrorCode PCSetUp_BJacobi_Multiproc(PC pc) 1256 { 1257 PC_BJacobi *jac = (PC_BJacobi*)pc->data; 1258 PC_BJacobi_Multiproc *mpjac = (PC_BJacobi_Multiproc*)jac->data; 1259 PetscErrorCode ierr; 1260 PetscInt m,n; 1261 MPI_Comm comm = ((PetscObject)pc)->comm,subcomm=0; 1262 const char *prefix; 1263 PetscBool wasSetup = PETSC_TRUE; 1264 1265 PetscFunctionBegin; 1266 if (jac->n_local > 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Only a single block in a subcommunicator is supported"); 1267 jac->n_local = 1; /* currently only a single block is supported for a subcommunicator */ 1268 if (!pc->setupcalled) { 1269 wasSetup = PETSC_FALSE; 1270 ierr = PetscNewLog(pc,PC_BJacobi_Multiproc,&mpjac);CHKERRQ(ierr); 1271 jac->data = (void*)mpjac; 1272 1273 /* initialize datastructure mpjac */ 1274 if (!jac->psubcomm) { 1275 /* Create default contiguous subcommunicatiors if user does not provide them */ 1276 ierr = PetscSubcommCreate(comm,&jac->psubcomm);CHKERRQ(ierr); 1277 ierr = PetscSubcommSetNumber(jac->psubcomm,jac->n);CHKERRQ(ierr); 1278 ierr = PetscSubcommSetType(jac->psubcomm,PETSC_SUBCOMM_CONTIGUOUS);CHKERRQ(ierr); 1279 ierr = PetscLogObjectMemory(pc,sizeof(PetscSubcomm));CHKERRQ(ierr); 1280 } 1281 mpjac->psubcomm = jac->psubcomm; 1282 subcomm = mpjac->psubcomm->comm; 1283 1284 /* Get matrix blocks of pmat */ 1285 ierr = MatGetMultiProcBlock_MPIAIJ(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1286 1287 /* create a new PC that processors in each subcomm have copy of */ 1288 ierr = PetscMalloc(sizeof(KSP),&jac->ksp);CHKERRQ(ierr); 1289 ierr = KSPCreate(subcomm,&jac->ksp[0]);CHKERRQ(ierr); 1290 ierr = PetscObjectIncrementTabLevel((PetscObject)jac->ksp[0],(PetscObject)pc,1);CHKERRQ(ierr); 1291 ierr = PetscLogObjectParent(pc,jac->ksp[0]);CHKERRQ(ierr); 1292 ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats,pc->flag);CHKERRQ(ierr); 1293 ierr = KSPGetPC(jac->ksp[0],&mpjac->pc);CHKERRQ(ierr); 1294 1295 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 1296 ierr = KSPSetOptionsPrefix(jac->ksp[0],prefix);CHKERRQ(ierr); 1297 ierr = KSPAppendOptionsPrefix(jac->ksp[0],"sub_");CHKERRQ(ierr); 1298 /* 1299 PetscMPIInt rank,subsize,subrank; 1300 ierr = MPI_Comm_rank(comm,&rank);CHKERRQ(ierr); 1301 ierr = MPI_Comm_size(subcomm,&subsize);CHKERRQ(ierr); 1302 ierr = MPI_Comm_rank(subcomm,&subrank);CHKERRQ(ierr); 1303 1304 ierr = MatGetLocalSize(mpjac->submats,&m,PETSC_NULL);CHKERRQ(ierr); 1305 ierr = MatGetSize(mpjac->submats,&n,PETSC_NULL);CHKERRQ(ierr); 1306 ierr = PetscSynchronizedPrintf(comm,"[%d], sub-size %d,sub-rank %d\n",rank,subsize,subrank); 1307 ierr = PetscSynchronizedFlush(comm);CHKERRQ(ierr); 1308 */ 1309 1310 /* create dummy vectors xsub and ysub */ 1311 ierr = MatGetLocalSize(mpjac->submats,&m,&n);CHKERRQ(ierr); 1312 ierr = VecCreateMPIWithArray(subcomm,1,n,PETSC_DECIDE,PETSC_NULL,&mpjac->xsub);CHKERRQ(ierr); 1313 ierr = VecCreateMPIWithArray(subcomm,1,m,PETSC_DECIDE,PETSC_NULL,&mpjac->ysub);CHKERRQ(ierr); 1314 ierr = PetscLogObjectParent(pc,mpjac->xsub);CHKERRQ(ierr); 1315 ierr = PetscLogObjectParent(pc,mpjac->ysub);CHKERRQ(ierr); 1316 1317 pc->ops->reset = PCReset_BJacobi_Multiproc; 1318 pc->ops->destroy = PCDestroy_BJacobi_Multiproc; 1319 pc->ops->apply = PCApply_BJacobi_Multiproc; 1320 } else { /* pc->setupcalled */ 1321 subcomm = mpjac->psubcomm->comm; 1322 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 1323 /* destroy old matrix blocks, then get new matrix blocks */ 1324 if (mpjac->submats){ierr = MatDestroy(&mpjac->submats);CHKERRQ(ierr);} 1325 ierr = MatGetMultiProcBlock_MPIAIJ(pc->pmat,subcomm,MAT_INITIAL_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1326 } else { 1327 ierr = MatGetMultiProcBlock_MPIAIJ(pc->pmat,subcomm,MAT_REUSE_MATRIX,&mpjac->submats);CHKERRQ(ierr); 1328 } 1329 ierr = KSPSetOperators(jac->ksp[0],mpjac->submats,mpjac->submats,pc->flag);CHKERRQ(ierr); 1330 } 1331 1332 if (!wasSetup && pc->setfromoptionscalled){ 1333 ierr = KSPSetFromOptions(jac->ksp[0]);CHKERRQ(ierr); 1334 } 1335 PetscFunctionReturn(0); 1336 } 1337