1 #define PETSCKSP_DLL 2 3 /* 4 This file defines an additive Schwarz preconditioner for any Mat implementation. 5 6 Note that each processor may have any number of subdomains. But in order to 7 deal easily with the VecScatter(), we treat each processor as if it has the 8 same number of subdomains. 9 10 n - total number of true subdomains on all processors 11 n_local_true - actual number of subdomains on this processor 12 n_local = maximum over all processors of n_local_true 13 */ 14 #include "private/pcimpl.h" /*I "petscpc.h" I*/ 15 16 typedef struct { 17 PetscInt n, n_local, n_local_true; 18 PetscInt overlap; /* overlap requested by user */ 19 KSP *ksp; /* linear solvers for each block */ 20 VecScatter *restriction; /* mapping from global to subregion */ 21 VecScatter *localization; /* mapping from overlapping to non-overlapping subregion */ 22 VecScatter *prolongation; /* mapping from subregion to global */ 23 Vec *x,*y,*y_local; /* work vectors */ 24 IS *is; /* index set that defines each overlapping subdomain */ 25 IS *is_local; /* index set that defines each non-overlapping subdomain, may be NULL */ 26 Mat *mat,*pmat; /* mat is not currently used */ 27 PCASMType type; /* use reduced interpolation, restriction or both */ 28 PetscTruth type_set; /* if user set this value (so won't change it for symmetric problems) */ 29 PetscTruth same_local_solves; /* flag indicating whether all local solvers are same */ 30 PetscTruth sort_indices; /* flag to sort subdomain indices */ 31 } PC_ASM; 32 33 #undef __FUNCT__ 34 #define __FUNCT__ "PCView_ASM" 35 static PetscErrorCode PCView_ASM(PC pc,PetscViewer viewer) 36 { 37 PC_ASM *osm = (PC_ASM*)pc->data; 38 PetscErrorCode ierr; 39 PetscMPIInt rank; 40 PetscInt i,bsz; 41 PetscTruth iascii,isstring; 42 PetscViewer sviewer; 43 44 45 PetscFunctionBegin; 46 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_ASCII,&iascii);CHKERRQ(ierr); 47 ierr = PetscTypeCompare((PetscObject)viewer,PETSC_VIEWER_STRING,&isstring);CHKERRQ(ierr); 48 if (iascii) { 49 if (osm->n > 0) { 50 ierr = PetscViewerASCIIPrintf(viewer," Additive Schwarz: total subdomain blocks = %D, amount of overlap = %D\n",osm->n,osm->overlap);CHKERRQ(ierr); 51 } else { 52 ierr = PetscViewerASCIIPrintf(viewer," Additive Schwarz: total subdomain blocks not yet set, amount of overlap = %D\n",osm->overlap);CHKERRQ(ierr); 53 } 54 ierr = PetscViewerASCIIPrintf(viewer," Additive Schwarz: restriction/interpolation type - %s\n",PCASMTypes[osm->type]);CHKERRQ(ierr); 55 ierr = MPI_Comm_rank(((PetscObject)pc)->comm,&rank);CHKERRQ(ierr); 56 if (osm->same_local_solves) { 57 if (osm->ksp) { 58 ierr = PetscViewerASCIIPrintf(viewer," Local solve is same for all blocks, in the following KSP and PC objects:\n");CHKERRQ(ierr); 59 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 60 if (!rank) { 61 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 62 ierr = KSPView(osm->ksp[0],sviewer);CHKERRQ(ierr); 63 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 64 } 65 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 66 } 67 } else { 68 ierr = PetscViewerASCIISynchronizedPrintf(viewer," [%d] number of local blocks = %D\n",(int)rank,osm->n_local_true);CHKERRQ(ierr); 69 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 70 ierr = PetscViewerASCIIPrintf(viewer," Local solve info for each block is in the following KSP and PC objects:\n");CHKERRQ(ierr); 71 ierr = PetscViewerASCIIPushTab(viewer);CHKERRQ(ierr); 72 ierr = PetscViewerASCIIPrintf(viewer,"- - - - - - - - - - - - - - - - - -\n");CHKERRQ(ierr); 73 for (i=0; i<osm->n_local; i++) { 74 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 75 if (i < osm->n_local_true) { 76 ierr = ISGetLocalSize(osm->is[i],&bsz);CHKERRQ(ierr); 77 ierr = PetscViewerASCIISynchronizedPrintf(sviewer,"[%d] local block number %D, size = %D\n",(int)rank,i,bsz);CHKERRQ(ierr); 78 ierr = KSPView(osm->ksp[i],sviewer);CHKERRQ(ierr); 79 ierr = PetscViewerASCIISynchronizedPrintf(sviewer,"- - - - - - - - - - - - - - - - - -\n");CHKERRQ(ierr); 80 } 81 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 82 } 83 ierr = PetscViewerASCIIPopTab(viewer);CHKERRQ(ierr); 84 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 85 } 86 } else if (isstring) { 87 ierr = PetscViewerStringSPrintf(viewer," blocks=%D, overlap=%D, type=%s",osm->n,osm->overlap,PCASMTypes[osm->type]);CHKERRQ(ierr); 88 ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); 89 if (osm->ksp) {ierr = KSPView(osm->ksp[0],sviewer);CHKERRQ(ierr);} 90 ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); 91 } else { 92 SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_SUP,"Viewer type %s not supported for PCASM",((PetscObject)viewer)->type_name); 93 } 94 PetscFunctionReturn(0); 95 } 96 97 #undef __FUNCT__ 98 #define __FUNCT__ "PCASMPrintSubdomains" 99 static PetscErrorCode PCASMPrintSubdomains(PC pc) 100 { 101 PC_ASM *osm = (PC_ASM*)pc->data; 102 const char *prefix; 103 char fname[PETSC_MAX_PATH_LEN+1]; 104 PetscViewer viewer; 105 PetscInt i,j,nidx; 106 const PetscInt *idx; 107 PetscErrorCode ierr; 108 109 PetscFunctionBegin; 110 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 111 ierr = PetscOptionsGetString(prefix,"-pc_asm_print_subdomains",fname,PETSC_MAX_PATH_LEN,PETSC_NULL);CHKERRQ(ierr); 112 if (fname[0] == 0) { ierr = PetscStrcpy(fname,"stdout");CHKERRQ(ierr); }; 113 ierr = PetscViewerASCIIOpen(((PetscObject)pc)->comm,fname,&viewer);CHKERRQ(ierr); 114 for (i=0;i<osm->n_local_true;i++) { 115 ierr = ISGetLocalSize(osm->is[i],&nidx);CHKERRQ(ierr); 116 ierr = ISGetIndices(osm->is[i],&idx);CHKERRQ(ierr); 117 for (j=0; j<nidx; j++) { 118 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"%D ",idx[j]);CHKERRQ(ierr); 119 } 120 ierr = ISRestoreIndices(osm->is[i],&idx);CHKERRQ(ierr); 121 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"\n");CHKERRQ(ierr); 122 if (osm->is_local) { 123 ierr = ISGetLocalSize(osm->is_local[i],&nidx);CHKERRQ(ierr); 124 ierr = ISGetIndices(osm->is_local[i],&idx);CHKERRQ(ierr); 125 for (j=0; j<nidx; j++) { 126 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"%D ",idx[j]);CHKERRQ(ierr); 127 } 128 ierr = ISRestoreIndices(osm->is_local[i],&idx);CHKERRQ(ierr); 129 ierr = PetscViewerASCIISynchronizedPrintf(viewer,"\n");CHKERRQ(ierr); 130 } 131 } 132 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 133 ierr = PetscViewerDestroy(viewer);CHKERRQ(ierr); 134 PetscFunctionReturn(0); 135 } 136 137 #undef __FUNCT__ 138 #define __FUNCT__ "PCSetUp_ASM" 139 static PetscErrorCode PCSetUp_ASM(PC pc) 140 { 141 PC_ASM *osm = (PC_ASM*)pc->data; 142 PetscErrorCode ierr; 143 PetscTruth symset,flg; 144 PetscInt i,m,m_local,firstRow,lastRow; 145 PetscMPIInt size; 146 MatReuse scall = MAT_REUSE_MATRIX; 147 IS isl; 148 KSP ksp; 149 PC subpc; 150 const char *prefix,*pprefix; 151 Vec vec; 152 153 PetscFunctionBegin; 154 if (!pc->setupcalled) { 155 156 if (!osm->type_set) { 157 ierr = MatIsSymmetricKnown(pc->pmat,&symset,&flg);CHKERRQ(ierr); 158 if (symset && flg) { osm->type = PC_ASM_BASIC; } 159 } 160 161 if (osm->n == PETSC_DECIDE && osm->n_local_true < 1) { 162 /* no subdomains given, use one per processor */ 163 osm->n_local = osm->n_local_true = 1; 164 ierr = MPI_Comm_size(((PetscObject)pc)->comm,&size);CHKERRQ(ierr); 165 osm->n = size; 166 } else if (osm->n == PETSC_DECIDE) { 167 /* determine global number of subdomains */ 168 PetscInt inwork[2],outwork[2]; 169 inwork[0] = inwork[1] = osm->n_local_true; 170 ierr = MPI_Allreduce(inwork,outwork,1,MPIU_2INT,PetscMaxSum_Op,((PetscObject)pc)->comm);CHKERRQ(ierr); 171 osm->n_local = outwork[0]; 172 osm->n = outwork[1]; 173 } 174 175 if (!osm->is){ /* create the index sets */ 176 ierr = PCASMCreateSubdomains(pc->pmat,osm->n_local_true,&osm->is);CHKERRQ(ierr); 177 } 178 if (osm->n_local_true > 1 && !osm->is_local) { 179 ierr = PetscMalloc(osm->n_local_true*sizeof(IS),&osm->is_local);CHKERRQ(ierr); 180 for (i=0; i<osm->n_local_true; i++) { 181 if (osm->overlap > 0) { /* With positive overlap, osm->is[i] will be modified */ 182 ierr = ISDuplicate(osm->is[i],&osm->is_local[i]);CHKERRQ(ierr); 183 ierr = ISCopy(osm->is[i],osm->is_local[i]);CHKERRQ(ierr); 184 } else { 185 ierr = PetscObjectReference((PetscObject)osm->is[i]);CHKERRQ(ierr); 186 osm->is_local[i] = osm->is[i]; 187 } 188 } 189 } 190 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 191 flg = PETSC_FALSE; 192 ierr = PetscOptionsGetTruth(prefix,"-pc_asm_print_subdomains",&flg,PETSC_NULL);CHKERRQ(ierr); 193 if (flg) { ierr = PCASMPrintSubdomains(pc);CHKERRQ(ierr); } 194 195 /* Extend the "overlapping" regions by a number of steps */ 196 ierr = MatIncreaseOverlap(pc->pmat,osm->n_local_true,osm->is,osm->overlap);CHKERRQ(ierr); 197 if (osm->sort_indices) { 198 for (i=0; i<osm->n_local_true; i++) { 199 ierr = ISSort(osm->is[i]);CHKERRQ(ierr); 200 if (osm->is_local) { 201 ierr = ISSort(osm->is_local[i]);CHKERRQ(ierr); 202 } 203 } 204 } 205 206 /* Create the local work vectors and scatter contexts */ 207 ierr = MatGetVecs(pc->pmat,&vec,0);CHKERRQ(ierr); 208 ierr = PetscMalloc(osm->n_local*sizeof(VecScatter *),&osm->restriction);CHKERRQ(ierr); 209 if (osm->is_local) {ierr = PetscMalloc(osm->n_local*sizeof(VecScatter *),&osm->localization);CHKERRQ(ierr);} 210 ierr = PetscMalloc(osm->n_local*sizeof(VecScatter *),&osm->prolongation);CHKERRQ(ierr); 211 ierr = PetscMalloc(osm->n_local*sizeof(Vec *),&osm->x);CHKERRQ(ierr); 212 ierr = PetscMalloc(osm->n_local*sizeof(Vec *),&osm->y);CHKERRQ(ierr); 213 ierr = PetscMalloc(osm->n_local*sizeof(Vec *),&osm->y_local);CHKERRQ(ierr); 214 ierr = VecGetOwnershipRange(vec, &firstRow, &lastRow);CHKERRQ(ierr); 215 for (i=0; i<osm->n_local_true; ++i, firstRow += m_local) { 216 ierr = ISGetLocalSize(osm->is[i],&m);CHKERRQ(ierr); 217 ierr = VecCreateSeq(PETSC_COMM_SELF,m,&osm->x[i]);CHKERRQ(ierr); 218 ierr = ISCreateStride(PETSC_COMM_SELF,m,0,1,&isl);CHKERRQ(ierr); 219 ierr = VecScatterCreate(vec,osm->is[i],osm->x[i],isl,&osm->restriction[i]);CHKERRQ(ierr); 220 ierr = ISDestroy(isl);CHKERRQ(ierr); 221 ierr = VecDuplicate(osm->x[i],&osm->y[i]);CHKERRQ(ierr); 222 if (osm->is_local) { 223 ISLocalToGlobalMapping ltog; 224 IS isll; 225 const PetscInt *idx_local; 226 PetscInt *idx,nout; 227 228 ierr = ISLocalToGlobalMappingCreateIS(osm->is[i],<og);CHKERRQ(ierr); 229 ierr = ISGetLocalSize(osm->is_local[i],&m_local);CHKERRQ(ierr); 230 ierr = ISGetIndices(osm->is_local[i], &idx_local);CHKERRQ(ierr); 231 ierr = PetscMalloc(m_local*sizeof(PetscInt),&idx);CHKERRQ(ierr); 232 ierr = ISGlobalToLocalMappingApply(ltog,IS_GTOLM_DROP,m_local,idx_local,&nout,idx);CHKERRQ(ierr); 233 ierr = ISLocalToGlobalMappingDestroy(ltog);CHKERRQ(ierr); 234 if (nout != m_local) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_PLIB,"is_local not a subset of is"); 235 ierr = ISRestoreIndices(osm->is_local[i], &idx_local);CHKERRQ(ierr); 236 ierr = ISCreateGeneral(PETSC_COMM_SELF,m_local,idx,&isll);CHKERRQ(ierr); 237 ierr = PetscFree(idx);CHKERRQ(ierr); 238 ierr = ISCreateStride(PETSC_COMM_SELF,m_local,0,1,&isl);CHKERRQ(ierr); 239 ierr = VecCreateSeq(PETSC_COMM_SELF,m_local,&osm->y_local[i]);CHKERRQ(ierr); 240 ierr = VecScatterCreate(osm->y[i],isll,osm->y_local[i],isl,&osm->localization[i]);CHKERRQ(ierr); 241 ierr = ISDestroy(isll);CHKERRQ(ierr); 242 243 ierr = VecScatterCreate(vec,osm->is_local[i],osm->y_local[i],isl,&osm->prolongation[i]);CHKERRQ(ierr); 244 ierr = ISDestroy(isl);CHKERRQ(ierr); 245 } else { 246 ierr = VecGetLocalSize(vec,&m_local);CHKERRQ(ierr); 247 osm->y_local[i] = osm->y[i]; 248 ierr = PetscObjectReference((PetscObject) osm->y[i]);CHKERRQ(ierr); 249 osm->prolongation[i] = osm->restriction[i]; 250 ierr = PetscObjectReference((PetscObject) osm->restriction[i]);CHKERRQ(ierr); 251 } 252 } 253 if (firstRow != lastRow) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_PLIB, "Specified ASM subdomain sizes were invalid: %d != %d", firstRow, lastRow); 254 for (i=osm->n_local_true; i<osm->n_local; i++) { 255 ierr = VecCreateSeq(PETSC_COMM_SELF,0,&osm->x[i]);CHKERRQ(ierr); 256 ierr = VecDuplicate(osm->x[i],&osm->y[i]);CHKERRQ(ierr); 257 ierr = VecDuplicate(osm->x[i],&osm->y_local[i]);CHKERRQ(ierr); 258 ierr = ISCreateStride(PETSC_COMM_SELF,0,0,1,&isl);CHKERRQ(ierr); 259 ierr = VecScatterCreate(vec,isl,osm->x[i],isl,&osm->restriction[i]);CHKERRQ(ierr); 260 if (osm->is_local) { 261 ierr = VecScatterCreate(osm->y[i],isl,osm->y_local[i],isl,&osm->localization[i]);CHKERRQ(ierr); 262 ierr = VecScatterCreate(vec,isl,osm->x[i],isl,&osm->prolongation[i]);CHKERRQ(ierr); 263 } else { 264 osm->prolongation[i] = osm->restriction[i]; 265 ierr = PetscObjectReference((PetscObject) osm->restriction[i]);CHKERRQ(ierr); 266 } 267 ierr = ISDestroy(isl);CHKERRQ(ierr); 268 } 269 ierr = VecDestroy(vec);CHKERRQ(ierr); 270 271 /* Create the local solvers */ 272 ierr = PetscMalloc(osm->n_local_true*sizeof(KSP *),&osm->ksp);CHKERRQ(ierr); 273 for (i=0; i<osm->n_local_true; i++) { 274 ierr = KSPCreate(PETSC_COMM_SELF,&ksp);CHKERRQ(ierr); 275 ierr = PetscLogObjectParent(pc,ksp);CHKERRQ(ierr); 276 ierr = PetscObjectIncrementTabLevel((PetscObject)ksp,(PetscObject)pc,1);CHKERRQ(ierr); 277 ierr = KSPSetType(ksp,KSPPREONLY);CHKERRQ(ierr); 278 ierr = KSPGetPC(ksp,&subpc);CHKERRQ(ierr); 279 ierr = PCGetOptionsPrefix(pc,&prefix);CHKERRQ(ierr); 280 ierr = KSPSetOptionsPrefix(ksp,prefix);CHKERRQ(ierr); 281 ierr = KSPAppendOptionsPrefix(ksp,"sub_");CHKERRQ(ierr); 282 osm->ksp[i] = ksp; 283 } 284 scall = MAT_INITIAL_MATRIX; 285 286 } else { 287 /* 288 Destroy the blocks from the previous iteration 289 */ 290 if (pc->flag == DIFFERENT_NONZERO_PATTERN) { 291 ierr = MatDestroyMatrices(osm->n_local_true,&osm->pmat);CHKERRQ(ierr); 292 scall = MAT_INITIAL_MATRIX; 293 } 294 } 295 296 /* 297 Extract out the submatrices 298 */ 299 ierr = MatGetSubMatrices(pc->pmat,osm->n_local_true,osm->is,osm->is,scall,&osm->pmat);CHKERRQ(ierr); 300 if (scall == MAT_INITIAL_MATRIX) { 301 ierr = PetscObjectGetOptionsPrefix((PetscObject)pc->pmat,&pprefix);CHKERRQ(ierr); 302 for (i=0; i<osm->n_local_true; i++) { 303 ierr = PetscLogObjectParent(pc,osm->pmat[i]);CHKERRQ(ierr); 304 ierr = PetscObjectSetOptionsPrefix((PetscObject)osm->pmat[i],pprefix);CHKERRQ(ierr); 305 } 306 } 307 308 /* Return control to the user so that the submatrices can be modified (e.g., to apply 309 different boundary conditions for the submatrices than for the global problem) */ 310 ierr = PCModifySubMatrices(pc,osm->n_local_true,osm->is,osm->is,osm->pmat,pc->modifysubmatricesP);CHKERRQ(ierr); 311 312 /* 313 Loop over subdomains putting them into local ksp 314 */ 315 for (i=0; i<osm->n_local_true; i++) { 316 ierr = KSPSetOperators(osm->ksp[i],osm->pmat[i],osm->pmat[i],pc->flag);CHKERRQ(ierr); 317 if (!pc->setupcalled) { 318 ierr = KSPSetFromOptions(osm->ksp[i]);CHKERRQ(ierr); 319 } 320 } 321 322 PetscFunctionReturn(0); 323 } 324 325 #undef __FUNCT__ 326 #define __FUNCT__ "PCSetUpOnBlocks_ASM" 327 static PetscErrorCode PCSetUpOnBlocks_ASM(PC pc) 328 { 329 PC_ASM *osm = (PC_ASM*)pc->data; 330 PetscErrorCode ierr; 331 PetscInt i; 332 333 PetscFunctionBegin; 334 for (i=0; i<osm->n_local_true; i++) { 335 ierr = KSPSetUp(osm->ksp[i]);CHKERRQ(ierr); 336 } 337 PetscFunctionReturn(0); 338 } 339 340 #undef __FUNCT__ 341 #define __FUNCT__ "PCApply_ASM" 342 static PetscErrorCode PCApply_ASM(PC pc,Vec x,Vec y) 343 { 344 PC_ASM *osm = (PC_ASM*)pc->data; 345 PetscErrorCode ierr; 346 PetscInt i,n_local = osm->n_local,n_local_true = osm->n_local_true; 347 ScatterMode forward = SCATTER_FORWARD,reverse = SCATTER_REVERSE; 348 349 PetscFunctionBegin; 350 /* 351 Support for limiting the restriction or interpolation to only local 352 subdomain values (leaving the other values 0). 353 */ 354 if (!(osm->type & PC_ASM_RESTRICT)) { 355 forward = SCATTER_FORWARD_LOCAL; 356 /* have to zero the work RHS since scatter may leave some slots empty */ 357 for (i=0; i<n_local_true; i++) { 358 ierr = VecSet(osm->x[i],0.0);CHKERRQ(ierr); 359 } 360 } 361 if (!(osm->type & PC_ASM_INTERPOLATE)) { 362 reverse = SCATTER_REVERSE_LOCAL; 363 } 364 365 for (i=0; i<n_local; i++) { 366 ierr = VecScatterBegin(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 367 } 368 ierr = VecSet(y,0.0);CHKERRQ(ierr); 369 /* do the local solves */ 370 for (i=0; i<n_local_true; i++) { 371 ierr = VecScatterEnd(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 372 ierr = KSPSolve(osm->ksp[i],osm->x[i],osm->y[i]);CHKERRQ(ierr); 373 if (osm->localization) { 374 ierr = VecScatterBegin(osm->localization[i],osm->y[i],osm->y_local[i],INSERT_VALUES,forward);CHKERRQ(ierr); 375 ierr = VecScatterEnd(osm->localization[i],osm->y[i],osm->y_local[i],INSERT_VALUES,forward);CHKERRQ(ierr); 376 } 377 ierr = VecScatterBegin(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 378 } 379 /* handle the rest of the scatters that do not have local solves */ 380 for (i=n_local_true; i<n_local; i++) { 381 ierr = VecScatterEnd(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 382 ierr = VecScatterBegin(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 383 } 384 for (i=0; i<n_local; i++) { 385 ierr = VecScatterEnd(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 386 } 387 PetscFunctionReturn(0); 388 } 389 390 #undef __FUNCT__ 391 #define __FUNCT__ "PCApplyTranspose_ASM" 392 static PetscErrorCode PCApplyTranspose_ASM(PC pc,Vec x,Vec y) 393 { 394 PC_ASM *osm = (PC_ASM*)pc->data; 395 PetscErrorCode ierr; 396 PetscInt i,n_local = osm->n_local,n_local_true = osm->n_local_true; 397 ScatterMode forward = SCATTER_FORWARD,reverse = SCATTER_REVERSE; 398 399 PetscFunctionBegin; 400 /* 401 Support for limiting the restriction or interpolation to only local 402 subdomain values (leaving the other values 0). 403 404 Note: these are reversed from the PCApply_ASM() because we are applying the 405 transpose of the three terms 406 */ 407 if (!(osm->type & PC_ASM_INTERPOLATE)) { 408 forward = SCATTER_FORWARD_LOCAL; 409 /* have to zero the work RHS since scatter may leave some slots empty */ 410 for (i=0; i<n_local_true; i++) { 411 ierr = VecSet(osm->x[i],0.0);CHKERRQ(ierr); 412 } 413 } 414 if (!(osm->type & PC_ASM_RESTRICT)) { 415 reverse = SCATTER_REVERSE_LOCAL; 416 } 417 418 for (i=0; i<n_local; i++) { 419 ierr = VecScatterBegin(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 420 } 421 ierr = VecSet(y,0.0);CHKERRQ(ierr); 422 /* do the local solves */ 423 for (i=0; i<n_local_true; i++) { 424 ierr = VecScatterEnd(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 425 ierr = KSPSolveTranspose(osm->ksp[i],osm->x[i],osm->y[i]);CHKERRQ(ierr); 426 if (osm->localization) { 427 ierr = VecScatterBegin(osm->localization[i],osm->y[i],osm->y_local[i],INSERT_VALUES,forward);CHKERRQ(ierr); 428 ierr = VecScatterEnd(osm->localization[i],osm->y[i],osm->y_local[i],INSERT_VALUES,forward);CHKERRQ(ierr); 429 } 430 ierr = VecScatterBegin(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 431 } 432 /* handle the rest of the scatters that do not have local solves */ 433 for (i=n_local_true; i<n_local; i++) { 434 ierr = VecScatterEnd(osm->restriction[i],x,osm->x[i],INSERT_VALUES,forward);CHKERRQ(ierr); 435 ierr = VecScatterBegin(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 436 } 437 for (i=0; i<n_local; i++) { 438 ierr = VecScatterEnd(osm->prolongation[i],osm->y_local[i],y,ADD_VALUES,reverse);CHKERRQ(ierr); 439 } 440 PetscFunctionReturn(0); 441 } 442 443 #undef __FUNCT__ 444 #define __FUNCT__ "PCDestroy_ASM" 445 static PetscErrorCode PCDestroy_ASM(PC pc) 446 { 447 PC_ASM *osm = (PC_ASM*)pc->data; 448 PetscErrorCode ierr; 449 PetscInt i; 450 451 PetscFunctionBegin; 452 if (osm->ksp) { 453 for (i=0; i<osm->n_local_true; i++) { 454 ierr = KSPDestroy(osm->ksp[i]);CHKERRQ(ierr); 455 } 456 ierr = PetscFree(osm->ksp);CHKERRQ(ierr); 457 } 458 if (osm->pmat) { 459 if (osm->n_local_true > 0) { 460 ierr = MatDestroyMatrices(osm->n_local_true,&osm->pmat);CHKERRQ(ierr); 461 } 462 } 463 if (osm->restriction) { 464 for (i=0; i<osm->n_local; i++) { 465 ierr = VecScatterDestroy(osm->restriction[i]);CHKERRQ(ierr); 466 if (osm->localization) {ierr = VecScatterDestroy(osm->localization[i]);CHKERRQ(ierr);} 467 ierr = VecScatterDestroy(osm->prolongation[i]);CHKERRQ(ierr); 468 ierr = VecDestroy(osm->x[i]);CHKERRQ(ierr); 469 ierr = VecDestroy(osm->y[i]);CHKERRQ(ierr); 470 ierr = VecDestroy(osm->y_local[i]);CHKERRQ(ierr); 471 } 472 ierr = PetscFree(osm->restriction);CHKERRQ(ierr); 473 if (osm->localization) {ierr = PetscFree(osm->localization);CHKERRQ(ierr);} 474 ierr = PetscFree(osm->prolongation);CHKERRQ(ierr); 475 ierr = PetscFree(osm->x);CHKERRQ(ierr); 476 ierr = PetscFree(osm->y);CHKERRQ(ierr); 477 ierr = PetscFree(osm->y_local);CHKERRQ(ierr); 478 } 479 if (osm->is) { 480 ierr = PCASMDestroySubdomains(osm->n_local_true,osm->is,osm->is_local);CHKERRQ(ierr); 481 } 482 ierr = PetscFree(osm);CHKERRQ(ierr); 483 PetscFunctionReturn(0); 484 } 485 486 #undef __FUNCT__ 487 #define __FUNCT__ "PCSetFromOptions_ASM" 488 static PetscErrorCode PCSetFromOptions_ASM(PC pc) 489 { 490 PC_ASM *osm = (PC_ASM*)pc->data; 491 PetscErrorCode ierr; 492 PetscInt blocks,ovl; 493 PetscTruth symset,flg; 494 PCASMType asmtype; 495 496 PetscFunctionBegin; 497 /* set the type to symmetric if matrix is symmetric */ 498 if (!osm->type_set && pc->pmat) { 499 ierr = MatIsSymmetricKnown(pc->pmat,&symset,&flg);CHKERRQ(ierr); 500 if (symset && flg) { osm->type = PC_ASM_BASIC; } 501 } 502 ierr = PetscOptionsHead("Additive Schwarz options");CHKERRQ(ierr); 503 ierr = PetscOptionsInt("-pc_asm_blocks","Number of subdomains","PCASMSetTotalSubdomains",osm->n,&blocks,&flg);CHKERRQ(ierr); 504 if (flg) {ierr = PCASMSetTotalSubdomains(pc,blocks,PETSC_NULL,PETSC_NULL);CHKERRQ(ierr); } 505 ierr = PetscOptionsInt("-pc_asm_overlap","Number of grid points overlap","PCASMSetOverlap",osm->overlap,&ovl,&flg);CHKERRQ(ierr); 506 if (flg) {ierr = PCASMSetOverlap(pc,ovl);CHKERRQ(ierr); } 507 flg = PETSC_FALSE; 508 ierr = PetscOptionsEnum("-pc_asm_type","Type of restriction/extension","PCASMSetType",PCASMTypes,(PetscEnum)osm->type,(PetscEnum*)&asmtype,&flg);CHKERRQ(ierr); 509 if (flg) {ierr = PCASMSetType(pc,asmtype);CHKERRQ(ierr); } 510 ierr = PetscOptionsTail();CHKERRQ(ierr); 511 PetscFunctionReturn(0); 512 } 513 514 /*------------------------------------------------------------------------------------*/ 515 516 EXTERN_C_BEGIN 517 #undef __FUNCT__ 518 #define __FUNCT__ "PCASMSetLocalSubdomains_ASM" 519 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetLocalSubdomains_ASM(PC pc,PetscInt n,IS is[],IS is_local[]) 520 { 521 PC_ASM *osm = (PC_ASM*)pc->data; 522 PetscErrorCode ierr; 523 PetscInt i; 524 525 PetscFunctionBegin; 526 if (n < 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Each process must have 1 or more blocks, n = %D",n); 527 if (pc->setupcalled && (n != osm->n_local_true || is)) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONGSTATE,"PCASMSetLocalSubdomains() should be called before calling PCSetUp()."); 528 529 if (!pc->setupcalled) { 530 if (is) { 531 for (i=0; i<n; i++) {ierr = PetscObjectReference((PetscObject)is[i]);CHKERRQ(ierr);} 532 } 533 if (is_local) { 534 for (i=0; i<n; i++) {ierr = PetscObjectReference((PetscObject)is_local[i]);CHKERRQ(ierr);} 535 } 536 if (osm->is) { 537 ierr = PCASMDestroySubdomains(osm->n_local_true,osm->is,osm->is_local);CHKERRQ(ierr); 538 } 539 osm->n_local_true = n; 540 osm->is = 0; 541 osm->is_local = 0; 542 if (is) { 543 ierr = PetscMalloc(n*sizeof(IS *),&osm->is);CHKERRQ(ierr); 544 for (i=0; i<n; i++) { osm->is[i] = is[i]; } 545 } 546 if (is_local) { 547 ierr = PetscMalloc(n*sizeof(IS *),&osm->is_local);CHKERRQ(ierr); 548 for (i=0; i<n; i++) { osm->is_local[i] = is_local[i]; } 549 } 550 } 551 PetscFunctionReturn(0); 552 } 553 EXTERN_C_END 554 555 EXTERN_C_BEGIN 556 #undef __FUNCT__ 557 #define __FUNCT__ "PCASMSetTotalSubdomains_ASM" 558 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetTotalSubdomains_ASM(PC pc,PetscInt N,IS *is) 559 { 560 PC_ASM *osm = (PC_ASM*)pc->data; 561 PetscErrorCode ierr; 562 PetscMPIInt rank,size; 563 PetscInt n; 564 565 PetscFunctionBegin; 566 if (N < 1) SETERRQ1(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Number of total blocks must be > 0, N = %D",N); 567 if (is) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_SUP,"Use PCASMSetLocalSubdomains() to set specific index sets\n\they cannot be set globally yet."); 568 569 /* 570 Split the subdomains equally among all processors 571 */ 572 ierr = MPI_Comm_rank(((PetscObject)pc)->comm,&rank);CHKERRQ(ierr); 573 ierr = MPI_Comm_size(((PetscObject)pc)->comm,&size);CHKERRQ(ierr); 574 n = N/size + ((N % size) > rank); 575 if (!n) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Process %d must have at least one block: total processors %d total blocks %D",(int)rank,(int)size,N); 576 if (pc->setupcalled && n != osm->n_local_true) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONGSTATE,"PCASMSetTotalSubdomains() should be called before PCSetUp()."); 577 if (!pc->setupcalled) { 578 if (osm->is) { 579 ierr = PCASMDestroySubdomains(osm->n_local_true,osm->is,osm->is_local);CHKERRQ(ierr); 580 } 581 osm->n_local_true = n; 582 osm->is = 0; 583 osm->is_local = 0; 584 } 585 PetscFunctionReturn(0); 586 } 587 EXTERN_C_END 588 589 EXTERN_C_BEGIN 590 #undef __FUNCT__ 591 #define __FUNCT__ "PCASMSetOverlap_ASM" 592 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetOverlap_ASM(PC pc,PetscInt ovl) 593 { 594 PC_ASM *osm = (PC_ASM*)pc->data; 595 596 PetscFunctionBegin; 597 if (ovl < 0) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_OUTOFRANGE,"Negative overlap value requested"); 598 if (pc->setupcalled && ovl != osm->overlap) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONGSTATE,"PCASMSetOverlap() should be called before PCSetUp()."); 599 if (!pc->setupcalled) { 600 osm->overlap = ovl; 601 } 602 PetscFunctionReturn(0); 603 } 604 EXTERN_C_END 605 606 EXTERN_C_BEGIN 607 #undef __FUNCT__ 608 #define __FUNCT__ "PCASMSetType_ASM" 609 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetType_ASM(PC pc,PCASMType type) 610 { 611 PC_ASM *osm = (PC_ASM*)pc->data; 612 613 PetscFunctionBegin; 614 osm->type = type; 615 osm->type_set = PETSC_TRUE; 616 PetscFunctionReturn(0); 617 } 618 EXTERN_C_END 619 620 EXTERN_C_BEGIN 621 #undef __FUNCT__ 622 #define __FUNCT__ "PCASMSetSortIndices_ASM" 623 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetSortIndices_ASM(PC pc,PetscTruth doSort) 624 { 625 PC_ASM *osm = (PC_ASM*)pc->data; 626 627 PetscFunctionBegin; 628 osm->sort_indices = doSort; 629 PetscFunctionReturn(0); 630 } 631 EXTERN_C_END 632 633 EXTERN_C_BEGIN 634 #undef __FUNCT__ 635 #define __FUNCT__ "PCASMGetSubKSP_ASM" 636 PetscErrorCode PETSCKSP_DLLEXPORT PCASMGetSubKSP_ASM(PC pc,PetscInt *n_local,PetscInt *first_local,KSP **ksp) 637 { 638 PC_ASM *osm = (PC_ASM*)pc->data; 639 PetscErrorCode ierr; 640 641 PetscFunctionBegin; 642 if (osm->n_local_true < 1) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ORDER,"Need to call PCSetUP() on PC (or KSPSetUp() on the outer KSP object) before calling here"); 643 644 if (n_local) { 645 *n_local = osm->n_local_true; 646 } 647 if (first_local) { 648 ierr = MPI_Scan(&osm->n_local_true,first_local,1,MPIU_INT,MPI_SUM,((PetscObject)pc)->comm);CHKERRQ(ierr); 649 *first_local -= osm->n_local_true; 650 } 651 if (ksp) { 652 /* Assume that local solves are now different; not necessarily 653 true though! This flag is used only for PCView_ASM() */ 654 *ksp = osm->ksp; 655 osm->same_local_solves = PETSC_FALSE; 656 } 657 PetscFunctionReturn(0); 658 } 659 EXTERN_C_END 660 661 662 #undef __FUNCT__ 663 #define __FUNCT__ "PCASMSetLocalSubdomains" 664 /*@C 665 PCASMSetLocalSubdomains - Sets the local subdomains (for this processor 666 only) for the additive Schwarz preconditioner. 667 668 Collective on PC 669 670 Input Parameters: 671 + pc - the preconditioner context 672 . n - the number of subdomains for this processor (default value = 1) 673 . is - the index sets that define the subdomains for this processor 674 (or PETSC_NULL for PETSc to determine subdomains) 675 - is_local - the index sets that define the local part of the subdomains for this processor 676 (or PETSC_NULL to use the default of 1 subdomain per process) 677 678 Notes: 679 The IS numbering is in the parallel, global numbering of the vector. 680 681 By default the ASM preconditioner uses 1 block per processor. 682 683 Use PCASMSetTotalSubdomains() to set the subdomains for all processors. 684 685 Level: advanced 686 687 .keywords: PC, ASM, set, local, subdomains, additive Schwarz 688 689 .seealso: PCASMSetTotalSubdomains(), PCASMSetOverlap(), PCASMGetSubKSP(), 690 PCASMCreateSubdomains2D(), PCASMGetLocalSubdomains() 691 @*/ 692 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetLocalSubdomains(PC pc,PetscInt n,IS is[],IS is_local[]) 693 { 694 PetscErrorCode ierr,(*f)(PC,PetscInt,IS[],IS[]); 695 696 PetscFunctionBegin; 697 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 698 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMSetLocalSubdomains_C",(void (**)(void))&f);CHKERRQ(ierr); 699 if (f) { 700 ierr = (*f)(pc,n,is,is_local);CHKERRQ(ierr); 701 } 702 PetscFunctionReturn(0); 703 } 704 705 #undef __FUNCT__ 706 #define __FUNCT__ "PCASMSetTotalSubdomains" 707 /*@C 708 PCASMSetTotalSubdomains - Sets the subdomains for all processor for the 709 additive Schwarz preconditioner. Either all or no processors in the 710 PC communicator must call this routine, with the same index sets. 711 712 Collective on PC 713 714 Input Parameters: 715 + pc - the preconditioner context 716 . n - the number of subdomains for all processors 717 . is - the index sets that define the subdomains for all processor 718 (or PETSC_NULL for PETSc to determine subdomains) 719 - is_local - the index sets that define the local part of the subdomains for this processor 720 (or PETSC_NULL to use the default of 1 subdomain per process) 721 722 Options Database Key: 723 To set the total number of subdomain blocks rather than specify the 724 index sets, use the option 725 . -pc_asm_blocks <blks> - Sets total blocks 726 727 Notes: 728 Currently you cannot use this to set the actual subdomains with the argument is. 729 730 By default the ASM preconditioner uses 1 block per processor. 731 732 These index sets cannot be destroyed until after completion of the 733 linear solves for which the ASM preconditioner is being used. 734 735 Use PCASMSetLocalSubdomains() to set local subdomains. 736 737 Level: advanced 738 739 .keywords: PC, ASM, set, total, global, subdomains, additive Schwarz 740 741 .seealso: PCASMSetLocalSubdomains(), PCASMSetOverlap(), PCASMGetSubKSP(), 742 PCASMCreateSubdomains2D() 743 @*/ 744 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetTotalSubdomains(PC pc,PetscInt N,IS is[],IS is_local[]) 745 { 746 PetscErrorCode ierr,(*f)(PC,PetscInt,IS[],IS[]); 747 748 PetscFunctionBegin; 749 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 750 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMSetTotalSubdomains_C",(void (**)(void))&f);CHKERRQ(ierr); 751 if (f) { 752 ierr = (*f)(pc,N,is,is_local);CHKERRQ(ierr); 753 } 754 PetscFunctionReturn(0); 755 } 756 757 #undef __FUNCT__ 758 #define __FUNCT__ "PCASMSetOverlap" 759 /*@ 760 PCASMSetOverlap - Sets the overlap between a pair of subdomains for the 761 additive Schwarz preconditioner. Either all or no processors in the 762 PC communicator must call this routine. 763 764 Collective on PC 765 766 Input Parameters: 767 + pc - the preconditioner context 768 - ovl - the amount of overlap between subdomains (ovl >= 0, default value = 1) 769 770 Options Database Key: 771 . -pc_asm_overlap <ovl> - Sets overlap 772 773 Notes: 774 By default the ASM preconditioner uses 1 block per processor. To use 775 multiple blocks per perocessor, see PCASMSetTotalSubdomains() and 776 PCASMSetLocalSubdomains() (and the option -pc_asm_blocks <blks>). 777 778 The overlap defaults to 1, so if one desires that no additional 779 overlap be computed beyond what may have been set with a call to 780 PCASMSetTotalSubdomains() or PCASMSetLocalSubdomains(), then ovl 781 must be set to be 0. In particular, if one does not explicitly set 782 the subdomains an application code, then all overlap would be computed 783 internally by PETSc, and using an overlap of 0 would result in an ASM 784 variant that is equivalent to the block Jacobi preconditioner. 785 786 Note that one can define initial index sets with any overlap via 787 PCASMSetTotalSubdomains() or PCASMSetLocalSubdomains(); the routine 788 PCASMSetOverlap() merely allows PETSc to extend that overlap further 789 if desired. 790 791 Level: intermediate 792 793 .keywords: PC, ASM, set, overlap 794 795 .seealso: PCASMSetTotalSubdomains(), PCASMSetLocalSubdomains(), PCASMGetSubKSP(), 796 PCASMCreateSubdomains2D(), PCASMGetLocalSubdomains() 797 @*/ 798 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetOverlap(PC pc,PetscInt ovl) 799 { 800 PetscErrorCode ierr,(*f)(PC,PetscInt); 801 802 PetscFunctionBegin; 803 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 804 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMSetOverlap_C",(void (**)(void))&f);CHKERRQ(ierr); 805 if (f) { 806 ierr = (*f)(pc,ovl);CHKERRQ(ierr); 807 } 808 PetscFunctionReturn(0); 809 } 810 811 #undef __FUNCT__ 812 #define __FUNCT__ "PCASMSetType" 813 /*@ 814 PCASMSetType - Sets the type of restriction and interpolation used 815 for local problems in the additive Schwarz method. 816 817 Collective on PC 818 819 Input Parameters: 820 + pc - the preconditioner context 821 - type - variant of ASM, one of 822 .vb 823 PC_ASM_BASIC - full interpolation and restriction 824 PC_ASM_RESTRICT - full restriction, local processor interpolation 825 PC_ASM_INTERPOLATE - full interpolation, local processor restriction 826 PC_ASM_NONE - local processor restriction and interpolation 827 .ve 828 829 Options Database Key: 830 . -pc_asm_type [basic,restrict,interpolate,none] - Sets ASM type 831 832 Level: intermediate 833 834 .keywords: PC, ASM, set, type 835 836 .seealso: PCASMSetTotalSubdomains(), PCASMSetTotalSubdomains(), PCASMGetSubKSP(), 837 PCASMCreateSubdomains2D() 838 @*/ 839 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetType(PC pc,PCASMType type) 840 { 841 PetscErrorCode ierr,(*f)(PC,PCASMType); 842 843 PetscFunctionBegin; 844 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 845 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMSetType_C",(void (**)(void))&f);CHKERRQ(ierr); 846 if (f) { 847 ierr = (*f)(pc,type);CHKERRQ(ierr); 848 } 849 PetscFunctionReturn(0); 850 } 851 852 #undef __FUNCT__ 853 #define __FUNCT__ "PCASMSetSortIndices" 854 /*@ 855 PCASMSetSortIndices - Determines whether subdomain indices are sorted. 856 857 Collective on PC 858 859 Input Parameters: 860 + pc - the preconditioner context 861 - doSort - sort the subdomain indices 862 863 Level: intermediate 864 865 .keywords: PC, ASM, set, type 866 867 .seealso: PCASMSetLocalSubdomains(), PCASMSetTotalSubdomains(), PCASMGetSubKSP(), 868 PCASMCreateSubdomains2D() 869 @*/ 870 PetscErrorCode PETSCKSP_DLLEXPORT PCASMSetSortIndices(PC pc,PetscTruth doSort) 871 { 872 PetscErrorCode ierr,(*f)(PC,PetscTruth); 873 874 PetscFunctionBegin; 875 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 876 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMSetSortIndices_C",(void (**)(void))&f);CHKERRQ(ierr); 877 if (f) { 878 ierr = (*f)(pc,doSort);CHKERRQ(ierr); 879 } 880 PetscFunctionReturn(0); 881 } 882 883 #undef __FUNCT__ 884 #define __FUNCT__ "PCASMGetSubKSP" 885 /*@C 886 PCASMGetSubKSP - Gets the local KSP contexts for all blocks on 887 this processor. 888 889 Collective on PC iff first_local is requested 890 891 Input Parameter: 892 . pc - the preconditioner context 893 894 Output Parameters: 895 + n_local - the number of blocks on this processor or PETSC_NULL 896 . first_local - the global number of the first block on this processor or PETSC_NULL, 897 all processors must request or all must pass PETSC_NULL 898 - ksp - the array of KSP contexts 899 900 Note: 901 After PCASMGetSubKSP() the array of KSPes is not to be freed 902 903 Currently for some matrix implementations only 1 block per processor 904 is supported. 905 906 You must call KSPSetUp() before calling PCASMGetSubKSP(). 907 908 Level: advanced 909 910 .keywords: PC, ASM, additive Schwarz, get, sub, KSP, context 911 912 .seealso: PCASMSetTotalSubdomains(), PCASMSetTotalSubdomains(), PCASMSetOverlap(), 913 PCASMCreateSubdomains2D(), 914 @*/ 915 PetscErrorCode PETSCKSP_DLLEXPORT PCASMGetSubKSP(PC pc,PetscInt *n_local,PetscInt *first_local,KSP *ksp[]) 916 { 917 PetscErrorCode ierr,(*f)(PC,PetscInt*,PetscInt*,KSP **); 918 919 PetscFunctionBegin; 920 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 921 ierr = PetscObjectQueryFunction((PetscObject)pc,"PCASMGetSubKSP_C",(void (**)(void))&f);CHKERRQ(ierr); 922 if (f) { 923 ierr = (*f)(pc,n_local,first_local,ksp);CHKERRQ(ierr); 924 } else SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONG,"Cannot get subksp for this type of PC"); 925 PetscFunctionReturn(0); 926 } 927 928 /* -------------------------------------------------------------------------------------*/ 929 /*MC 930 PCASM - Use the (restricted) additive Schwarz method, each block is (approximately) solved with 931 its own KSP object. 932 933 Options Database Keys: 934 + -pc_asm_truelocal - Activates PCASMSetUseTrueLocal() 935 . -pc_asm_blocks <blks> - Sets total blocks 936 . -pc_asm_overlap <ovl> - Sets overlap 937 - -pc_asm_type [basic,restrict,interpolate,none] - Sets ASM type 938 939 IMPORTANT: If you run with, for example, 3 blocks on 1 processor or 3 blocks on 3 processors you 940 will get a different convergence rate due to the default option of -pc_asm_type restrict. Use 941 -pc_asm_type basic to use the standard ASM. 942 943 Notes: Each processor can have one or more blocks, but a block cannot be shared by more 944 than one processor. Defaults to one block per processor. 945 946 To set options on the solvers for each block append -sub_ to all the KSP, and PC 947 options database keys. For example, -sub_pc_type ilu -sub_pc_factor_levels 1 -sub_ksp_type preonly 948 949 To set the options on the solvers separate for each block call PCASMGetSubKSP() 950 and set the options directly on the resulting KSP object (you can access its PC 951 with KSPGetPC()) 952 953 954 Level: beginner 955 956 Concepts: additive Schwarz method 957 958 References: 959 An additive variant of the Schwarz alternating method for the case of many subregions 960 M Dryja, OB Widlund - Courant Institute, New York University Technical report 961 962 Domain Decompositions: Parallel Multilevel Methods for Elliptic Partial Differential Equations, 963 Barry Smith, Petter Bjorstad, and William Gropp, Cambridge University Press, ISBN 0-521-49589-X. 964 965 .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, 966 PCBJACOBI, PCASMSetUseTrueLocal(), PCASMGetSubKSP(), PCASMSetLocalSubdomains(), 967 PCASMSetTotalSubdomains(), PCSetModifySubmatrices(), PCASMSetOverlap(), PCASMSetType() 968 969 M*/ 970 971 EXTERN_C_BEGIN 972 #undef __FUNCT__ 973 #define __FUNCT__ "PCCreate_ASM" 974 PetscErrorCode PETSCKSP_DLLEXPORT PCCreate_ASM(PC pc) 975 { 976 PetscErrorCode ierr; 977 PC_ASM *osm; 978 979 PetscFunctionBegin; 980 ierr = PetscNewLog(pc,PC_ASM,&osm);CHKERRQ(ierr); 981 osm->n = PETSC_DECIDE; 982 osm->n_local = 0; 983 osm->n_local_true = 0; 984 osm->overlap = 1; 985 osm->ksp = 0; 986 osm->restriction = 0; 987 osm->localization = 0; 988 osm->prolongation = 0; 989 osm->x = 0; 990 osm->y = 0; 991 osm->y_local = 0; 992 osm->is = 0; 993 osm->is_local = 0; 994 osm->mat = 0; 995 osm->pmat = 0; 996 osm->type = PC_ASM_RESTRICT; 997 osm->same_local_solves = PETSC_TRUE; 998 osm->sort_indices = PETSC_TRUE; 999 1000 pc->data = (void*)osm; 1001 pc->ops->apply = PCApply_ASM; 1002 pc->ops->applytranspose = PCApplyTranspose_ASM; 1003 pc->ops->setup = PCSetUp_ASM; 1004 pc->ops->destroy = PCDestroy_ASM; 1005 pc->ops->setfromoptions = PCSetFromOptions_ASM; 1006 pc->ops->setuponblocks = PCSetUpOnBlocks_ASM; 1007 pc->ops->view = PCView_ASM; 1008 pc->ops->applyrichardson = 0; 1009 1010 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMSetLocalSubdomains_C","PCASMSetLocalSubdomains_ASM", 1011 PCASMSetLocalSubdomains_ASM);CHKERRQ(ierr); 1012 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMSetTotalSubdomains_C","PCASMSetTotalSubdomains_ASM", 1013 PCASMSetTotalSubdomains_ASM);CHKERRQ(ierr); 1014 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMSetOverlap_C","PCASMSetOverlap_ASM", 1015 PCASMSetOverlap_ASM);CHKERRQ(ierr); 1016 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMSetType_C","PCASMSetType_ASM", 1017 PCASMSetType_ASM);CHKERRQ(ierr); 1018 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMSetSortIndices_C","PCASMSetSortIndices_ASM", 1019 PCASMSetSortIndices_ASM);CHKERRQ(ierr); 1020 ierr = PetscObjectComposeFunctionDynamic((PetscObject)pc,"PCASMGetSubKSP_C","PCASMGetSubKSP_ASM", 1021 PCASMGetSubKSP_ASM);CHKERRQ(ierr); 1022 PetscFunctionReturn(0); 1023 } 1024 EXTERN_C_END 1025 1026 1027 #undef __FUNCT__ 1028 #define __FUNCT__ "PCASMCreateSubdomains" 1029 /*@C 1030 PCASMCreateSubdomains - Creates the index sets for the overlapping Schwarz 1031 preconditioner for a any problem on a general grid. 1032 1033 Collective 1034 1035 Input Parameters: 1036 + A - The global matrix operator 1037 - n - the number of local blocks 1038 1039 Output Parameters: 1040 . outis - the array of index sets defining the subdomains 1041 1042 Level: advanced 1043 1044 Note: this generates nonoverlapping subdomains; the PCASM will generate the overlap 1045 from these if you use PCASMSetLocalSubdomains() 1046 1047 In the Fortran version you must provide the array outis[] already allocated of length n. 1048 1049 .keywords: PC, ASM, additive Schwarz, create, subdomains, unstructured grid 1050 1051 .seealso: PCASMSetLocalSubdomains(), PCASMDestroySubdomains() 1052 @*/ 1053 PetscErrorCode PETSCKSP_DLLEXPORT PCASMCreateSubdomains(Mat A, PetscInt n, IS* outis[]) 1054 { 1055 MatPartitioning mpart; 1056 const char *prefix; 1057 PetscErrorCode (*f)(Mat,PetscTruth*,MatReuse,Mat*); 1058 PetscMPIInt size; 1059 PetscInt i,j,rstart,rend,bs; 1060 PetscTruth iscopy = PETSC_FALSE,isbaij = PETSC_FALSE,foundpart = PETSC_FALSE; 1061 Mat Ad = PETSC_NULL, adj; 1062 IS ispart,isnumb,*is; 1063 PetscErrorCode ierr; 1064 1065 PetscFunctionBegin; 1066 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 1067 PetscValidPointer(outis,3); 1068 if (n < 1) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"number of local blocks must be > 0, n = %D",n); 1069 1070 /* Get prefix, row distribution, and block size */ 1071 ierr = MatGetOptionsPrefix(A,&prefix);CHKERRQ(ierr); 1072 ierr = MatGetOwnershipRange(A,&rstart,&rend);CHKERRQ(ierr); 1073 ierr = MatGetBlockSize(A,&bs);CHKERRQ(ierr); 1074 if (rstart/bs*bs != rstart || rend/bs*bs != rend) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"bad row distribution [%D,%D) for matrix block size %D",rstart,rend,bs); 1075 1076 /* Get diagonal block from matrix if possible */ 1077 ierr = MPI_Comm_size(((PetscObject)A)->comm,&size);CHKERRQ(ierr); 1078 ierr = PetscObjectQueryFunction((PetscObject)A,"MatGetDiagonalBlock_C",(void (**)(void))&f);CHKERRQ(ierr); 1079 if (f) { 1080 ierr = (*f)(A,&iscopy,MAT_INITIAL_MATRIX,&Ad);CHKERRQ(ierr); 1081 } else if (size == 1) { 1082 iscopy = PETSC_FALSE; Ad = A; 1083 } else { 1084 iscopy = PETSC_FALSE; Ad = PETSC_NULL; 1085 } 1086 if (Ad) { 1087 ierr = PetscTypeCompare((PetscObject)Ad,MATSEQBAIJ,&isbaij);CHKERRQ(ierr); 1088 if (!isbaij) {ierr = PetscTypeCompare((PetscObject)Ad,MATSEQSBAIJ,&isbaij);CHKERRQ(ierr);} 1089 } 1090 if (Ad && n > 1) { 1091 PetscTruth match,done; 1092 /* Try to setup a good matrix partitioning if available */ 1093 ierr = MatPartitioningCreate(PETSC_COMM_SELF,&mpart);CHKERRQ(ierr); 1094 ierr = PetscObjectSetOptionsPrefix((PetscObject)mpart,prefix);CHKERRQ(ierr); 1095 ierr = MatPartitioningSetFromOptions(mpart);CHKERRQ(ierr); 1096 ierr = PetscTypeCompare((PetscObject)mpart,MAT_PARTITIONING_CURRENT,&match);CHKERRQ(ierr); 1097 if (!match) { 1098 ierr = PetscTypeCompare((PetscObject)mpart,MAT_PARTITIONING_SQUARE,&match);CHKERRQ(ierr); 1099 } 1100 if (!match) { /* assume a "good" partitioner is available */ 1101 PetscInt na,*ia,*ja; 1102 ierr = MatGetRowIJ(Ad,0,PETSC_TRUE,isbaij,&na,&ia,&ja,&done);CHKERRQ(ierr); 1103 if (done) { 1104 /* Build adjacency matrix by hand. Unfortunately a call to 1105 MatConvert(Ad,MATMPIADJ,MAT_INITIAL_MATRIX,&adj) will 1106 remove the block-aij structure and we cannot expect 1107 MatPartitioning to split vertices as we need */ 1108 PetscInt i,j,*row,len,nnz,cnt,*iia=0,*jja=0; 1109 nnz = 0; 1110 for (i=0; i<na; i++) { /* count number of nonzeros */ 1111 len = ia[i+1] - ia[i]; 1112 row = ja + ia[i]; 1113 for (j=0; j<len; j++) { 1114 if (row[j] == i) { /* don't count diagonal */ 1115 len--; break; 1116 } 1117 } 1118 nnz += len; 1119 } 1120 ierr = PetscMalloc((na+1)*sizeof(PetscInt),&iia);CHKERRQ(ierr); 1121 ierr = PetscMalloc((nnz)*sizeof(PetscInt),&jja);CHKERRQ(ierr); 1122 nnz = 0; 1123 iia[0] = 0; 1124 for (i=0; i<na; i++) { /* fill adjacency */ 1125 cnt = 0; 1126 len = ia[i+1] - ia[i]; 1127 row = ja + ia[i]; 1128 for (j=0; j<len; j++) { 1129 if (row[j] != i) { /* if not diagonal */ 1130 jja[nnz+cnt++] = row[j]; 1131 } 1132 } 1133 nnz += cnt; 1134 iia[i+1] = nnz; 1135 } 1136 /* Partitioning of the adjacency matrix */ 1137 ierr = MatCreateMPIAdj(PETSC_COMM_SELF,na,na,iia,jja,PETSC_NULL,&adj);CHKERRQ(ierr); 1138 ierr = MatPartitioningSetAdjacency(mpart,adj);CHKERRQ(ierr); 1139 ierr = MatPartitioningSetNParts(mpart,n);CHKERRQ(ierr); 1140 ierr = MatPartitioningApply(mpart,&ispart);CHKERRQ(ierr); 1141 ierr = ISPartitioningToNumbering(ispart,&isnumb);CHKERRQ(ierr); 1142 ierr = MatDestroy(adj);CHKERRQ(ierr); 1143 foundpart = PETSC_TRUE; 1144 } 1145 ierr = MatRestoreRowIJ(Ad,0,PETSC_TRUE,isbaij,&na,&ia,&ja,&done);CHKERRQ(ierr); 1146 } 1147 ierr = MatPartitioningDestroy(mpart);CHKERRQ(ierr); 1148 } 1149 if (iscopy) {ierr = MatDestroy(Ad);CHKERRQ(ierr);} 1150 1151 ierr = PetscMalloc(n*sizeof(IS),&is);CHKERRQ(ierr); 1152 *outis = is; 1153 1154 if (!foundpart) { 1155 1156 /* Partitioning by contiguous chunks of rows */ 1157 1158 PetscInt mbs = (rend-rstart)/bs; 1159 PetscInt start = rstart; 1160 for (i=0; i<n; i++) { 1161 PetscInt count = (mbs/n + ((mbs % n) > i)) * bs; 1162 ierr = ISCreateStride(PETSC_COMM_SELF,count,start,1,&is[i]);CHKERRQ(ierr); 1163 start += count; 1164 } 1165 1166 } else { 1167 1168 /* Partitioning by adjacency of diagonal block */ 1169 1170 const PetscInt *numbering; 1171 PetscInt *count,nidx,*indices,*newidx,start=0; 1172 /* Get node count in each partition */ 1173 ierr = PetscMalloc(n*sizeof(PetscInt),&count);CHKERRQ(ierr); 1174 ierr = ISPartitioningCount(ispart,n,count);CHKERRQ(ierr); 1175 if (isbaij && bs > 1) { /* adjust for the block-aij case */ 1176 for (i=0; i<n; i++) count[i] *= bs; 1177 } 1178 /* Build indices from node numbering */ 1179 ierr = ISGetLocalSize(isnumb,&nidx);CHKERRQ(ierr); 1180 ierr = PetscMalloc(nidx*sizeof(PetscInt),&indices);CHKERRQ(ierr); 1181 for (i=0; i<nidx; i++) indices[i] = i; /* needs to be initialized */ 1182 ierr = ISGetIndices(isnumb,&numbering);CHKERRQ(ierr); 1183 ierr = PetscSortIntWithPermutation(nidx,numbering,indices);CHKERRQ(ierr); 1184 ierr = ISRestoreIndices(isnumb,&numbering);CHKERRQ(ierr); 1185 if (isbaij && bs > 1) { /* adjust for the block-aij case */ 1186 ierr = PetscMalloc(nidx*bs*sizeof(PetscInt),&newidx);CHKERRQ(ierr); 1187 for (i=0; i<nidx; i++) 1188 for (j=0; j<bs; j++) 1189 newidx[i*bs+j] = indices[i]*bs + j; 1190 ierr = PetscFree(indices);CHKERRQ(ierr); 1191 nidx *= bs; 1192 indices = newidx; 1193 } 1194 /* Shift to get global indices */ 1195 for (i=0; i<nidx; i++) indices[i] += rstart; 1196 1197 /* Build the index sets for each block */ 1198 for (i=0; i<n; i++) { 1199 ierr = ISCreateGeneral(PETSC_COMM_SELF,count[i],&indices[start],&is[i]);CHKERRQ(ierr); 1200 ierr = ISSort(is[i]);CHKERRQ(ierr); 1201 start += count[i]; 1202 } 1203 1204 ierr = PetscFree(count); 1205 ierr = PetscFree(indices); 1206 ierr = ISDestroy(isnumb);CHKERRQ(ierr); 1207 ierr = ISDestroy(ispart);CHKERRQ(ierr); 1208 1209 } 1210 1211 PetscFunctionReturn(0); 1212 } 1213 1214 #undef __FUNCT__ 1215 #define __FUNCT__ "PCASMDestroySubdomains" 1216 /*@C 1217 PCASMDestroySubdomains - Destroys the index sets created with 1218 PCASMCreateSubdomains(). Should be called after setting subdomains 1219 with PCASMSetLocalSubdomains(). 1220 1221 Collective 1222 1223 Input Parameters: 1224 + n - the number of index sets 1225 . is - the array of index sets 1226 - is_local - the array of local index sets, can be PETSC_NULL 1227 1228 Level: advanced 1229 1230 .keywords: PC, ASM, additive Schwarz, create, subdomains, unstructured grid 1231 1232 .seealso: PCASMCreateSubdomains(), PCASMSetLocalSubdomains() 1233 @*/ 1234 PetscErrorCode PETSCKSP_DLLEXPORT PCASMDestroySubdomains(PetscInt n, IS is[], IS is_local[]) 1235 { 1236 PetscInt i; 1237 PetscErrorCode ierr; 1238 PetscFunctionBegin; 1239 if (n <= 0) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"n must be > 0: n = %D",n); 1240 PetscValidPointer(is,2); 1241 for (i=0; i<n; i++) { ierr = ISDestroy(is[i]);CHKERRQ(ierr); } 1242 ierr = PetscFree(is);CHKERRQ(ierr); 1243 if (is_local) { 1244 PetscValidPointer(is_local,3); 1245 for (i=0; i<n; i++) { ierr = ISDestroy(is_local[i]);CHKERRQ(ierr); } 1246 ierr = PetscFree(is_local);CHKERRQ(ierr); 1247 } 1248 PetscFunctionReturn(0); 1249 } 1250 1251 #undef __FUNCT__ 1252 #define __FUNCT__ "PCASMCreateSubdomains2D" 1253 /*@ 1254 PCASMCreateSubdomains2D - Creates the index sets for the overlapping Schwarz 1255 preconditioner for a two-dimensional problem on a regular grid. 1256 1257 Not Collective 1258 1259 Input Parameters: 1260 + m, n - the number of mesh points in the x and y directions 1261 . M, N - the number of subdomains in the x and y directions 1262 . dof - degrees of freedom per node 1263 - overlap - overlap in mesh lines 1264 1265 Output Parameters: 1266 + Nsub - the number of subdomains created 1267 - is - the array of index sets defining the subdomains 1268 1269 Note: 1270 Presently PCAMSCreateSubdomains2d() is valid only for sequential 1271 preconditioners. More general related routines are 1272 PCASMSetTotalSubdomains() and PCASMSetLocalSubdomains(). 1273 1274 Level: advanced 1275 1276 .keywords: PC, ASM, additive Schwarz, create, subdomains, 2D, regular grid 1277 1278 .seealso: PCASMSetTotalSubdomains(), PCASMSetLocalSubdomains(), PCASMGetSubKSP(), 1279 PCASMSetOverlap() 1280 @*/ 1281 PetscErrorCode PETSCKSP_DLLEXPORT PCASMCreateSubdomains2D(PetscInt m,PetscInt n,PetscInt M,PetscInt N,PetscInt dof,PetscInt overlap,PetscInt *Nsub,IS **is) 1282 { 1283 PetscInt i,j,height,width,ystart,xstart,yleft,yright,xleft,xright,loc_outter; 1284 PetscErrorCode ierr; 1285 PetscInt nidx,*idx,loc,ii,jj,count; 1286 1287 PetscFunctionBegin; 1288 if (dof != 1) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP," "); 1289 1290 *Nsub = N*M; 1291 ierr = PetscMalloc((*Nsub)*sizeof(IS *),is);CHKERRQ(ierr); 1292 ystart = 0; 1293 loc_outter = 0; 1294 for (i=0; i<N; i++) { 1295 height = n/N + ((n % N) > i); /* height of subdomain */ 1296 if (height < 2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Too many N subdomains for mesh dimension n"); 1297 yleft = ystart - overlap; if (yleft < 0) yleft = 0; 1298 yright = ystart + height + overlap; if (yright > n) yright = n; 1299 xstart = 0; 1300 for (j=0; j<M; j++) { 1301 width = m/M + ((m % M) > j); /* width of subdomain */ 1302 if (width < 2) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Too many M subdomains for mesh dimension m"); 1303 xleft = xstart - overlap; if (xleft < 0) xleft = 0; 1304 xright = xstart + width + overlap; if (xright > m) xright = m; 1305 nidx = (xright - xleft)*(yright - yleft); 1306 ierr = PetscMalloc(nidx*sizeof(PetscInt),&idx);CHKERRQ(ierr); 1307 loc = 0; 1308 for (ii=yleft; ii<yright; ii++) { 1309 count = m*ii + xleft; 1310 for (jj=xleft; jj<xright; jj++) { 1311 idx[loc++] = count++; 1312 } 1313 } 1314 ierr = ISCreateGeneral(PETSC_COMM_SELF,nidx,idx,(*is)+loc_outter++);CHKERRQ(ierr); 1315 ierr = PetscFree(idx);CHKERRQ(ierr); 1316 xstart += width; 1317 } 1318 ystart += height; 1319 } 1320 for (i=0; i<*Nsub; i++) { ierr = ISSort((*is)[i]);CHKERRQ(ierr); } 1321 PetscFunctionReturn(0); 1322 } 1323 1324 #undef __FUNCT__ 1325 #define __FUNCT__ "PCASMGetLocalSubdomains" 1326 /*@C 1327 PCASMGetLocalSubdomains - Gets the local subdomains (for this processor 1328 only) for the additive Schwarz preconditioner. 1329 1330 Collective on PC 1331 1332 Input Parameter: 1333 . pc - the preconditioner context 1334 1335 Output Parameters: 1336 + n - the number of subdomains for this processor (default value = 1) 1337 . is - the index sets that define the subdomains for this processor 1338 - is_local - the index sets that define the local part of the subdomains for this processor (can be PETSC_NULL) 1339 1340 1341 Notes: 1342 The IS numbering is in the parallel, global numbering of the vector. 1343 1344 Level: advanced 1345 1346 .keywords: PC, ASM, set, local, subdomains, additive Schwarz 1347 1348 .seealso: PCASMSetTotalSubdomains(), PCASMSetOverlap(), PCASMGetSubKSP(), 1349 PCASMCreateSubdomains2D(), PCASMSetLocalSubdomains(), PCASMGetLocalSubmatrices() 1350 @*/ 1351 PetscErrorCode PETSCKSP_DLLEXPORT PCASMGetLocalSubdomains(PC pc,PetscInt *n,IS *is[],IS *is_local[]) 1352 { 1353 PC_ASM *osm; 1354 PetscErrorCode ierr; 1355 PetscTruth match; 1356 1357 PetscFunctionBegin; 1358 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1359 PetscValidIntPointer(n,2); 1360 if (is) PetscValidPointer(is,3); 1361 ierr = PetscTypeCompare((PetscObject)pc,PCASM,&match);CHKERRQ(ierr); 1362 if (!match) { 1363 if (n) *n = 0; 1364 if (is) *is = PETSC_NULL; 1365 } else { 1366 osm = (PC_ASM*)pc->data; 1367 if (n) *n = osm->n_local_true; 1368 if (is) *is = osm->is; 1369 if (is_local) *is_local = osm->is_local; 1370 } 1371 PetscFunctionReturn(0); 1372 } 1373 1374 #undef __FUNCT__ 1375 #define __FUNCT__ "PCASMGetLocalSubmatrices" 1376 /*@C 1377 PCASMGetLocalSubmatrices - Gets the local submatrices (for this processor 1378 only) for the additive Schwarz preconditioner. 1379 1380 Collective on PC 1381 1382 Input Parameter: 1383 . pc - the preconditioner context 1384 1385 Output Parameters: 1386 + n - the number of matrices for this processor (default value = 1) 1387 - mat - the matrices 1388 1389 1390 Level: advanced 1391 1392 .keywords: PC, ASM, set, local, subdomains, additive Schwarz, block Jacobi 1393 1394 .seealso: PCASMSetTotalSubdomains(), PCASMSetOverlap(), PCASMGetSubKSP(), 1395 PCASMCreateSubdomains2D(), PCASMSetLocalSubdomains(), PCASMGetLocalSubdomains() 1396 @*/ 1397 PetscErrorCode PETSCKSP_DLLEXPORT PCASMGetLocalSubmatrices(PC pc,PetscInt *n,Mat *mat[]) 1398 { 1399 PC_ASM *osm; 1400 PetscErrorCode ierr; 1401 PetscTruth match; 1402 1403 PetscFunctionBegin; 1404 PetscValidHeaderSpecific(pc,PC_CLASSID,1); 1405 PetscValidIntPointer(n,2); 1406 if (mat) PetscValidPointer(mat,3); 1407 if (!pc->setupcalled) SETERRQ(((PetscObject)pc)->comm,PETSC_ERR_ARG_WRONGSTATE,"Must call after KSPSetUP() or PCSetUp()."); 1408 ierr = PetscTypeCompare((PetscObject)pc,PCASM,&match);CHKERRQ(ierr); 1409 if (!match) { 1410 if (n) *n = 0; 1411 if (mat) *mat = PETSC_NULL; 1412 } else { 1413 osm = (PC_ASM*)pc->data; 1414 if (n) *n = osm->n_local_true; 1415 if (mat) *mat = osm->pmat; 1416 } 1417 PetscFunctionReturn(0); 1418 } 1419