1 /* 2 Creates a matrix class for using the Neumann-Neumann type preconditioners. 3 This stores the matrices in globally unassembled form. Each processor 4 assembles only its local Neumann problem and the parallel matrix vector 5 product is handled "implicitly". 6 7 Currently this allows for only one subdomain per processor. 8 */ 9 10 #include <../src/mat/impls/is/matis.h> /*I "petscmat.h" I*/ 11 #include <../src/mat/impls/aij/mpi/mpiaij.h> 12 #include <petsc/private/sfimpl.h> 13 14 #define MATIS_MAX_ENTRIES_INSERTION 2048 15 16 static PetscErrorCode MatISContainerDestroyFields_Private(void *ptr) 17 { 18 MatISLocalFields lf = (MatISLocalFields)ptr; 19 PetscInt i; 20 PetscErrorCode ierr; 21 22 PetscFunctionBeginUser; 23 for (i=0;i<lf->nr;i++) { 24 ierr = ISDestroy(&lf->rf[i]);CHKERRQ(ierr); 25 } 26 for (i=0;i<lf->nc;i++) { 27 ierr = ISDestroy(&lf->cf[i]);CHKERRQ(ierr); 28 } 29 ierr = PetscFree2(lf->rf,lf->cf);CHKERRQ(ierr); 30 ierr = PetscFree(lf);CHKERRQ(ierr); 31 PetscFunctionReturn(0); 32 } 33 34 static PetscErrorCode MatISContainerDestroyArray_Private(void *ptr) 35 { 36 PetscErrorCode ierr; 37 38 PetscFunctionBeginUser; 39 ierr = PetscFree(ptr);CHKERRQ(ierr); 40 PetscFunctionReturn(0); 41 } 42 43 PETSC_INTERN PetscErrorCode MatConvert_MPIAIJ_IS(Mat A,MatType type,MatReuse reuse,Mat *newmat) 44 { 45 Mat_MPIAIJ *aij = (Mat_MPIAIJ*)A->data; 46 Mat_SeqAIJ *diag = (Mat_SeqAIJ*)(aij->A->data); 47 Mat_SeqAIJ *offd = (Mat_SeqAIJ*)(aij->B->data); 48 Mat lA; 49 ISLocalToGlobalMapping rl2g,cl2g; 50 IS is; 51 MPI_Comm comm; 52 void *ptrs[2]; 53 const char *names[2] = {"_convert_csr_aux","_convert_csr_data"}; 54 PetscScalar *dd,*od,*aa,*data; 55 PetscInt *di,*dj,*oi,*oj; 56 PetscInt *aux,*ii,*jj; 57 PetscInt lc,dr,dc,oc,str,stc,nnz,i,jd,jo,cum; 58 PetscErrorCode ierr; 59 60 PetscFunctionBeginUser; 61 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 62 if (!aij->garray) SETERRQ(comm,PETSC_ERR_SUP,"garray not present"); 63 64 /* access relevant information from MPIAIJ */ 65 ierr = MatGetOwnershipRange(A,&str,NULL);CHKERRQ(ierr); 66 ierr = MatGetOwnershipRangeColumn(A,&stc,NULL);CHKERRQ(ierr); 67 ierr = MatGetLocalSize(A,&dr,&dc);CHKERRQ(ierr); 68 di = diag->i; 69 dj = diag->j; 70 dd = diag->a; 71 oc = aij->B->cmap->n; 72 oi = offd->i; 73 oj = offd->j; 74 od = offd->a; 75 nnz = diag->i[dr] + offd->i[dr]; 76 77 /* generate l2g maps for rows and cols */ 78 ierr = ISCreateStride(comm,dr,str,1,&is);CHKERRQ(ierr); 79 ierr = ISLocalToGlobalMappingCreateIS(is,&rl2g);CHKERRQ(ierr); 80 ierr = ISDestroy(&is);CHKERRQ(ierr); 81 if (dr) { 82 ierr = PetscMalloc1(dc+oc,&aux);CHKERRQ(ierr); 83 for (i=0; i<dc; i++) aux[i] = i+stc; 84 for (i=0; i<oc; i++) aux[i+dc] = aij->garray[i]; 85 ierr = ISCreateGeneral(comm,dc+oc,aux,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 86 lc = dc+oc; 87 } else { 88 ierr = ISCreateGeneral(comm,0,NULL,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 89 lc = 0; 90 } 91 ierr = ISLocalToGlobalMappingCreateIS(is,&cl2g);CHKERRQ(ierr); 92 ierr = ISDestroy(&is);CHKERRQ(ierr); 93 94 /* create MATIS object */ 95 ierr = MatCreate(comm,newmat);CHKERRQ(ierr); 96 ierr = MatSetSizes(*newmat,dr,dc,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr); 97 ierr = MatSetType(*newmat,MATIS);CHKERRQ(ierr); 98 ierr = MatSetLocalToGlobalMapping(*newmat,rl2g,cl2g);CHKERRQ(ierr); 99 ierr = ISLocalToGlobalMappingDestroy(&rl2g);CHKERRQ(ierr); 100 ierr = ISLocalToGlobalMappingDestroy(&cl2g);CHKERRQ(ierr); 101 102 /* merge local matrices */ 103 ierr = PetscMalloc1(nnz+dr+1,&aux);CHKERRQ(ierr); 104 ierr = PetscMalloc1(nnz,&data);CHKERRQ(ierr); 105 ii = aux; 106 jj = aux+dr+1; 107 aa = data; 108 *ii = *(di++) + *(oi++); 109 for (jd=0,jo=0,cum=0;*ii<nnz;cum++) 110 { 111 for (;jd<*di;jd++) { *jj++ = *dj++; *aa++ = *dd++; } 112 for (;jo<*oi;jo++) { *jj++ = *oj++ + dc; *aa++ = *od++; } 113 *(++ii) = *(di++) + *(oi++); 114 } 115 for (;cum<dr;cum++) *(++ii) = nnz; 116 ii = aux; 117 jj = aux+dr+1; 118 aa = data; 119 ierr = MatCreateSeqAIJWithArrays(PETSC_COMM_SELF,dr,lc,ii,jj,aa,&lA);CHKERRQ(ierr); 120 121 /* create containers to destroy the data */ 122 ptrs[0] = aux; 123 ptrs[1] = data; 124 for (i=0; i<2; i++) { 125 PetscContainer c; 126 127 ierr = PetscContainerCreate(PETSC_COMM_SELF,&c);CHKERRQ(ierr); 128 ierr = PetscContainerSetPointer(c,ptrs[i]);CHKERRQ(ierr); 129 ierr = PetscContainerSetUserDestroy(c,MatISContainerDestroyArray_Private);CHKERRQ(ierr); 130 ierr = PetscObjectCompose((PetscObject)lA,names[i],(PetscObject)c);CHKERRQ(ierr); 131 ierr = PetscContainerDestroy(&c);CHKERRQ(ierr); 132 } 133 134 /* finalize matrix */ 135 ierr = MatISSetLocalMat(*newmat,lA);CHKERRQ(ierr); 136 ierr = MatDestroy(&lA);CHKERRQ(ierr); 137 ierr = MatAssemblyBegin(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 138 ierr = MatAssemblyEnd(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 139 PetscFunctionReturn(0); 140 } 141 142 /*@ 143 MatISSetUpSF - Setup star forest objects used by MatIS. 144 145 Collective on MPI_Comm 146 147 Input Parameters: 148 + A - the matrix 149 150 Level: advanced 151 152 Notes: This function does not need to be called by the user. 153 154 .keywords: matrix 155 156 .seealso: MatCreate(), MatCreateIS(), MatISSetPreallocation(), MatISGetLocalMat() 157 @*/ 158 PetscErrorCode MatISSetUpSF(Mat A) 159 { 160 PetscErrorCode ierr; 161 162 PetscFunctionBegin; 163 PetscValidHeaderSpecific(A,MAT_CLASSID,1); 164 PetscValidType(A,1); 165 ierr = PetscTryMethod(A,"MatISSetUpSF_C",(Mat),(A));CHKERRQ(ierr); 166 PetscFunctionReturn(0); 167 } 168 169 PETSC_INTERN PetscErrorCode MatConvert_Nest_IS(Mat A,MatType type,MatReuse reuse,Mat *newmat) 170 { 171 Mat **nest,*snest,**rnest,lA,B; 172 IS *iscol,*isrow,*islrow,*islcol; 173 ISLocalToGlobalMapping rl2g,cl2g; 174 MPI_Comm comm; 175 PetscInt *lr,*lc,*l2gidxs; 176 PetscInt i,j,nr,nc,rbs,cbs; 177 PetscBool convert,lreuse,*istrans; 178 PetscErrorCode ierr; 179 180 PetscFunctionBeginUser; 181 ierr = MatNestGetSubMats(A,&nr,&nc,&nest);CHKERRQ(ierr); 182 lreuse = PETSC_FALSE; 183 rnest = NULL; 184 if (reuse == MAT_REUSE_MATRIX) { 185 PetscBool ismatis,isnest; 186 187 ierr = PetscObjectTypeCompare((PetscObject)*newmat,MATIS,&ismatis);CHKERRQ(ierr); 188 if (!ismatis) SETERRQ1(PetscObjectComm((PetscObject)*newmat),PETSC_ERR_USER,"Cannot reuse matrix of type %s",((PetscObject)(*newmat))->type); 189 ierr = MatISGetLocalMat(*newmat,&lA);CHKERRQ(ierr); 190 ierr = PetscObjectTypeCompare((PetscObject)lA,MATNEST,&isnest);CHKERRQ(ierr); 191 if (isnest) { 192 ierr = MatNestGetSubMats(lA,&i,&j,&rnest);CHKERRQ(ierr); 193 lreuse = (PetscBool)(i == nr && j == nc); 194 if (!lreuse) rnest = NULL; 195 } 196 } 197 ierr = PetscObjectGetComm((PetscObject)A,&comm);CHKERRQ(ierr); 198 ierr = PetscCalloc2(nr,&lr,nc,&lc);CHKERRQ(ierr); 199 ierr = PetscCalloc6(nr,&isrow,nc,&iscol, 200 nr,&islrow,nc,&islcol, 201 nr*nc,&snest,nr*nc,&istrans);CHKERRQ(ierr); 202 ierr = MatNestGetISs(A,isrow,iscol);CHKERRQ(ierr); 203 for (i=0;i<nr;i++) { 204 for (j=0;j<nc;j++) { 205 PetscBool ismatis; 206 PetscInt l1,l2,lb1,lb2,ij=i*nc+j; 207 208 /* Null matrix pointers are allowed in MATNEST */ 209 if (!nest[i][j]) continue; 210 211 /* Nested matrices should be of type MATIS */ 212 ierr = PetscObjectTypeCompare((PetscObject)nest[i][j],MATTRANSPOSEMAT,&istrans[ij]);CHKERRQ(ierr); 213 if (istrans[ij]) { 214 Mat T,lT; 215 ierr = MatTransposeGetMat(nest[i][j],&T);CHKERRQ(ierr); 216 ierr = PetscObjectTypeCompare((PetscObject)T,MATIS,&ismatis);CHKERRQ(ierr); 217 if (!ismatis) SETERRQ2(comm,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) (transposed) is not of type MATIS",i,j); 218 ierr = MatISGetLocalMat(T,&lT);CHKERRQ(ierr); 219 ierr = MatCreateTranspose(lT,&snest[ij]);CHKERRQ(ierr); 220 } else { 221 ierr = PetscObjectTypeCompare((PetscObject)nest[i][j],MATIS,&ismatis);CHKERRQ(ierr); 222 if (!ismatis) SETERRQ2(comm,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) is not of type MATIS",i,j); 223 ierr = MatISGetLocalMat(nest[i][j],&snest[ij]);CHKERRQ(ierr); 224 } 225 226 /* Check compatibility of local sizes */ 227 ierr = MatGetSize(snest[ij],&l1,&l2);CHKERRQ(ierr); 228 ierr = MatGetBlockSizes(snest[ij],&lb1,&lb2);CHKERRQ(ierr); 229 if (!l1 || !l2) continue; 230 if (lr[i] && l1 != lr[i]) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid local size %D != %D",i,j,lr[i],l1); 231 if (lc[j] && l2 != lc[j]) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid local size %D != %D",i,j,lc[j],l2); 232 lr[i] = l1; 233 lc[j] = l2; 234 235 /* check compatibilty for local matrix reusage */ 236 if (rnest && !rnest[i][j] != !snest[ij]) lreuse = PETSC_FALSE; 237 } 238 } 239 240 #if defined (PETSC_USE_DEBUG) 241 /* Check compatibility of l2g maps for rows */ 242 for (i=0;i<nr;i++) { 243 rl2g = NULL; 244 for (j=0;j<nc;j++) { 245 PetscInt n1,n2; 246 247 if (!nest[i][j]) continue; 248 if (istrans[i*nc+j]) { 249 Mat T; 250 251 ierr = MatTransposeGetMat(nest[i][j],&T);CHKERRQ(ierr); 252 ierr = MatGetLocalToGlobalMapping(T,NULL,&cl2g);CHKERRQ(ierr); 253 } else { 254 ierr = MatGetLocalToGlobalMapping(nest[i][j],&cl2g,NULL);CHKERRQ(ierr); 255 } 256 ierr = ISLocalToGlobalMappingGetSize(cl2g,&n1);CHKERRQ(ierr); 257 if (!n1) continue; 258 if (!rl2g) { 259 rl2g = cl2g; 260 } else { 261 const PetscInt *idxs1,*idxs2; 262 PetscBool same; 263 264 ierr = ISLocalToGlobalMappingGetSize(rl2g,&n2);CHKERRQ(ierr); 265 if (n1 != n2) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid row l2gmap size %D != %D",i,j,n1,n2); 266 ierr = ISLocalToGlobalMappingGetIndices(cl2g,&idxs1);CHKERRQ(ierr); 267 ierr = ISLocalToGlobalMappingGetIndices(rl2g,&idxs2);CHKERRQ(ierr); 268 ierr = PetscMemcmp(idxs1,idxs2,n1*sizeof(PetscInt),&same);CHKERRQ(ierr); 269 ierr = ISLocalToGlobalMappingRestoreIndices(cl2g,&idxs1);CHKERRQ(ierr); 270 ierr = ISLocalToGlobalMappingRestoreIndices(rl2g,&idxs2);CHKERRQ(ierr); 271 if (!same) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid row l2gmap",i,j); 272 } 273 } 274 } 275 /* Check compatibility of l2g maps for columns */ 276 for (i=0;i<nc;i++) { 277 rl2g = NULL; 278 for (j=0;j<nr;j++) { 279 PetscInt n1,n2; 280 281 if (!nest[j][i]) continue; 282 if (istrans[j*nc+i]) { 283 Mat T; 284 285 ierr = MatTransposeGetMat(nest[j][i],&T);CHKERRQ(ierr); 286 ierr = MatGetLocalToGlobalMapping(T,&cl2g,NULL);CHKERRQ(ierr); 287 } else { 288 ierr = MatGetLocalToGlobalMapping(nest[j][i],NULL,&cl2g);CHKERRQ(ierr); 289 } 290 ierr = ISLocalToGlobalMappingGetSize(cl2g,&n1);CHKERRQ(ierr); 291 if (!n1) continue; 292 if (!rl2g) { 293 rl2g = cl2g; 294 } else { 295 const PetscInt *idxs1,*idxs2; 296 PetscBool same; 297 298 ierr = ISLocalToGlobalMappingGetSize(rl2g,&n2);CHKERRQ(ierr); 299 if (n1 != n2) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid column l2gmap size %D != %D",j,i,n1,n2); 300 ierr = ISLocalToGlobalMappingGetIndices(cl2g,&idxs1);CHKERRQ(ierr); 301 ierr = ISLocalToGlobalMappingGetIndices(rl2g,&idxs2);CHKERRQ(ierr); 302 ierr = PetscMemcmp(idxs1,idxs2,n1*sizeof(PetscInt),&same);CHKERRQ(ierr); 303 ierr = ISLocalToGlobalMappingRestoreIndices(cl2g,&idxs1);CHKERRQ(ierr); 304 ierr = ISLocalToGlobalMappingRestoreIndices(rl2g,&idxs2);CHKERRQ(ierr); 305 if (!same) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot convert from MATNEST to MATIS! Matrix block (%D,%D) has invalid column l2gmap",j,i); 306 } 307 } 308 } 309 #endif 310 311 B = NULL; 312 if (reuse != MAT_REUSE_MATRIX) { 313 PetscInt stl; 314 315 /* Create l2g map for the rows of the new matrix and index sets for the local MATNEST */ 316 for (i=0,stl=0;i<nr;i++) stl += lr[i]; 317 ierr = PetscMalloc1(stl,&l2gidxs);CHKERRQ(ierr); 318 for (i=0,stl=0;i<nr;i++) { 319 Mat usedmat; 320 Mat_IS *matis; 321 const PetscInt *idxs; 322 323 /* local IS for local NEST */ 324 ierr = ISCreateStride(PETSC_COMM_SELF,lr[i],stl,1,&islrow[i]);CHKERRQ(ierr); 325 326 /* l2gmap */ 327 j = 0; 328 usedmat = nest[i][j]; 329 while (!usedmat && j < nc-1) usedmat = nest[i][++j]; 330 if (!usedmat) SETERRQ(comm,PETSC_ERR_SUP,"Cannot find valid row mat"); 331 332 if (istrans[i*nc+j]) { 333 Mat T; 334 ierr = MatTransposeGetMat(usedmat,&T);CHKERRQ(ierr); 335 usedmat = T; 336 } 337 ierr = MatISSetUpSF(usedmat);CHKERRQ(ierr); 338 matis = (Mat_IS*)(usedmat->data); 339 ierr = ISGetIndices(isrow[i],&idxs);CHKERRQ(ierr); 340 if (istrans[i*nc+j]) { 341 ierr = PetscSFBcastBegin(matis->csf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 342 ierr = PetscSFBcastEnd(matis->csf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 343 } else { 344 ierr = PetscSFBcastBegin(matis->sf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 345 ierr = PetscSFBcastEnd(matis->sf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 346 } 347 ierr = ISRestoreIndices(isrow[i],&idxs);CHKERRQ(ierr); 348 stl += lr[i]; 349 } 350 ierr = ISLocalToGlobalMappingCreate(comm,1,stl,l2gidxs,PETSC_OWN_POINTER,&rl2g);CHKERRQ(ierr); 351 352 /* Create l2g map for columns of the new matrix and index sets for the local MATNEST */ 353 for (i=0,stl=0;i<nc;i++) stl += lc[i]; 354 ierr = PetscMalloc1(stl,&l2gidxs);CHKERRQ(ierr); 355 for (i=0,stl=0;i<nc;i++) { 356 Mat usedmat; 357 Mat_IS *matis; 358 const PetscInt *idxs; 359 360 /* local IS for local NEST */ 361 ierr = ISCreateStride(PETSC_COMM_SELF,lc[i],stl,1,&islcol[i]);CHKERRQ(ierr); 362 363 /* l2gmap */ 364 j = 0; 365 usedmat = nest[j][i]; 366 while (!usedmat && j < nr-1) usedmat = nest[++j][i]; 367 if (!usedmat) SETERRQ(comm,PETSC_ERR_SUP,"Cannot find valid column mat"); 368 if (istrans[j*nc+i]) { 369 Mat T; 370 ierr = MatTransposeGetMat(usedmat,&T);CHKERRQ(ierr); 371 usedmat = T; 372 } 373 ierr = MatISSetUpSF(usedmat);CHKERRQ(ierr); 374 matis = (Mat_IS*)(usedmat->data); 375 ierr = ISGetIndices(iscol[i],&idxs);CHKERRQ(ierr); 376 if (istrans[j*nc+i]) { 377 ierr = PetscSFBcastBegin(matis->sf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 378 ierr = PetscSFBcastEnd(matis->sf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 379 } else { 380 ierr = PetscSFBcastBegin(matis->csf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 381 ierr = PetscSFBcastEnd(matis->csf,MPIU_INT,idxs,l2gidxs+stl);CHKERRQ(ierr); 382 } 383 ierr = ISRestoreIndices(iscol[i],&idxs);CHKERRQ(ierr); 384 stl += lc[i]; 385 } 386 ierr = ISLocalToGlobalMappingCreate(comm,1,stl,l2gidxs,PETSC_OWN_POINTER,&cl2g);CHKERRQ(ierr); 387 388 /* Create MATIS */ 389 ierr = MatCreate(comm,&B);CHKERRQ(ierr); 390 ierr = MatSetSizes(B,A->rmap->n,A->cmap->n,A->rmap->N,A->cmap->N);CHKERRQ(ierr); 391 ierr = MatGetBlockSizes(A,&rbs,&cbs);CHKERRQ(ierr); 392 ierr = MatSetBlockSizes(B,rbs,cbs);CHKERRQ(ierr); 393 ierr = MatSetType(B,MATIS);CHKERRQ(ierr); 394 ierr = MatSetLocalToGlobalMapping(B,rl2g,cl2g);CHKERRQ(ierr); 395 ierr = ISLocalToGlobalMappingDestroy(&rl2g);CHKERRQ(ierr); 396 ierr = ISLocalToGlobalMappingDestroy(&cl2g);CHKERRQ(ierr); 397 ierr = MatCreateNest(PETSC_COMM_SELF,nr,islrow,nc,islcol,snest,&lA);CHKERRQ(ierr); 398 for (i=0;i<nr*nc;i++) { 399 if (istrans[i]) { 400 ierr = MatDestroy(&snest[i]);CHKERRQ(ierr); 401 } 402 } 403 ierr = MatISSetLocalMat(B,lA);CHKERRQ(ierr); 404 ierr = MatDestroy(&lA);CHKERRQ(ierr); 405 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 406 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 407 if (reuse == MAT_INPLACE_MATRIX) { 408 ierr = MatHeaderReplace(A,&B);CHKERRQ(ierr); 409 } else { 410 *newmat = B; 411 } 412 } else { 413 if (lreuse) { 414 ierr = MatISGetLocalMat(*newmat,&lA);CHKERRQ(ierr); 415 for (i=0;i<nr;i++) { 416 for (j=0;j<nc;j++) { 417 if (snest[i*nc+j]) { 418 ierr = MatNestSetSubMat(lA,i,j,snest[i*nc+j]);CHKERRQ(ierr); 419 if (istrans[i*nc+j]) { 420 ierr = MatDestroy(&snest[i*nc+j]);CHKERRQ(ierr); 421 } 422 } 423 } 424 } 425 } else { 426 PetscInt stl; 427 for (i=0,stl=0;i<nr;i++) { 428 ierr = ISCreateStride(PETSC_COMM_SELF,lr[i],stl,1,&islrow[i]);CHKERRQ(ierr); 429 stl += lr[i]; 430 } 431 for (i=0,stl=0;i<nc;i++) { 432 ierr = ISCreateStride(PETSC_COMM_SELF,lc[i],stl,1,&islcol[i]);CHKERRQ(ierr); 433 stl += lc[i]; 434 } 435 ierr = MatCreateNest(PETSC_COMM_SELF,nr,islrow,nc,islcol,snest,&lA);CHKERRQ(ierr); 436 if (istrans[i]) { 437 ierr = MatDestroy(&snest[i]);CHKERRQ(ierr); 438 } 439 ierr = MatISSetLocalMat(*newmat,lA);CHKERRQ(ierr); 440 ierr = MatDestroy(&lA);CHKERRQ(ierr); 441 } 442 ierr = MatAssemblyBegin(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 443 ierr = MatAssemblyEnd(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 444 } 445 446 /* Create local matrix in MATNEST format */ 447 convert = PETSC_FALSE; 448 ierr = PetscOptionsGetBool(NULL,((PetscObject)A)->prefix,"-matis_convert_local_nest",&convert,NULL);CHKERRQ(ierr); 449 if (convert) { 450 Mat M; 451 MatISLocalFields lf; 452 PetscContainer c; 453 454 ierr = MatISGetLocalMat(*newmat,&lA);CHKERRQ(ierr); 455 ierr = MatConvert(lA,MATAIJ,MAT_INITIAL_MATRIX,&M);CHKERRQ(ierr); 456 ierr = MatISSetLocalMat(*newmat,M);CHKERRQ(ierr); 457 ierr = MatDestroy(&M);CHKERRQ(ierr); 458 459 /* attach local fields to the matrix */ 460 ierr = PetscNew(&lf);CHKERRQ(ierr); 461 ierr = PetscCalloc2(nr,&lf->rf,nc,&lf->cf);CHKERRQ(ierr); 462 for (i=0;i<nr;i++) { 463 PetscInt n,st; 464 465 ierr = ISGetLocalSize(islrow[i],&n);CHKERRQ(ierr); 466 ierr = ISStrideGetInfo(islrow[i],&st,NULL);CHKERRQ(ierr); 467 ierr = ISCreateStride(comm,n,st,1,&lf->rf[i]);CHKERRQ(ierr); 468 } 469 for (i=0;i<nc;i++) { 470 PetscInt n,st; 471 472 ierr = ISGetLocalSize(islcol[i],&n);CHKERRQ(ierr); 473 ierr = ISStrideGetInfo(islcol[i],&st,NULL);CHKERRQ(ierr); 474 ierr = ISCreateStride(comm,n,st,1,&lf->cf[i]);CHKERRQ(ierr); 475 } 476 lf->nr = nr; 477 lf->nc = nc; 478 ierr = PetscContainerCreate(PetscObjectComm((PetscObject)(*newmat)),&c);CHKERRQ(ierr); 479 ierr = PetscContainerSetPointer(c,lf);CHKERRQ(ierr); 480 ierr = PetscContainerSetUserDestroy(c,MatISContainerDestroyFields_Private);CHKERRQ(ierr); 481 ierr = PetscObjectCompose((PetscObject)(*newmat),"_convert_nest_lfields",(PetscObject)c);CHKERRQ(ierr); 482 ierr = PetscContainerDestroy(&c);CHKERRQ(ierr); 483 } 484 485 /* Free workspace */ 486 for (i=0;i<nr;i++) { 487 ierr = ISDestroy(&islrow[i]);CHKERRQ(ierr); 488 } 489 for (i=0;i<nc;i++) { 490 ierr = ISDestroy(&islcol[i]);CHKERRQ(ierr); 491 } 492 ierr = PetscFree6(isrow,iscol,islrow,islcol,snest,istrans);CHKERRQ(ierr); 493 ierr = PetscFree2(lr,lc);CHKERRQ(ierr); 494 PetscFunctionReturn(0); 495 } 496 497 static PetscErrorCode MatDiagonalScale_IS(Mat A, Vec l, Vec r) 498 { 499 Mat_IS *matis = (Mat_IS*)A->data; 500 Vec ll,rr; 501 const PetscScalar *Y,*X; 502 PetscScalar *x,*y; 503 PetscErrorCode ierr; 504 505 PetscFunctionBegin; 506 ierr = MatISSetUpSF(A);CHKERRQ(ierr); 507 if (l) { 508 ll = matis->y; 509 ierr = VecGetArrayRead(l,&Y);CHKERRQ(ierr); 510 ierr = VecGetArray(ll,&y);CHKERRQ(ierr); 511 ierr = PetscSFBcastBegin(matis->sf,MPIU_SCALAR,Y,y);CHKERRQ(ierr); 512 } else { 513 ll = NULL; 514 } 515 if (r) { 516 rr = matis->x; 517 ierr = VecGetArrayRead(r,&X);CHKERRQ(ierr); 518 ierr = VecGetArray(rr,&x);CHKERRQ(ierr); 519 ierr = PetscSFBcastBegin(matis->csf,MPIU_SCALAR,X,x);CHKERRQ(ierr); 520 } else { 521 rr = NULL; 522 } 523 if (ll) { 524 ierr = PetscSFBcastEnd(matis->sf,MPIU_SCALAR,Y,y);CHKERRQ(ierr); 525 ierr = VecRestoreArrayRead(l,&Y);CHKERRQ(ierr); 526 ierr = VecRestoreArray(ll,&y);CHKERRQ(ierr); 527 } 528 if (rr) { 529 ierr = PetscSFBcastEnd(matis->csf,MPIU_SCALAR,X,x);CHKERRQ(ierr); 530 ierr = VecRestoreArrayRead(r,&X);CHKERRQ(ierr); 531 ierr = VecRestoreArray(rr,&x);CHKERRQ(ierr); 532 } 533 ierr = MatDiagonalScale(matis->A,ll,rr);CHKERRQ(ierr); 534 PetscFunctionReturn(0); 535 } 536 537 static PetscErrorCode MatGetInfo_IS(Mat A,MatInfoType flag,MatInfo *ginfo) 538 { 539 Mat_IS *matis = (Mat_IS*)A->data; 540 MatInfo info; 541 PetscReal isend[6],irecv[6]; 542 PetscInt bs; 543 PetscErrorCode ierr; 544 545 PetscFunctionBegin; 546 ierr = MatGetBlockSize(A,&bs);CHKERRQ(ierr); 547 if (matis->A->ops->getinfo) { 548 ierr = MatGetInfo(matis->A,MAT_LOCAL,&info);CHKERRQ(ierr); 549 isend[0] = info.nz_used; 550 isend[1] = info.nz_allocated; 551 isend[2] = info.nz_unneeded; 552 isend[3] = info.memory; 553 isend[4] = info.mallocs; 554 } else { 555 isend[0] = 0.; 556 isend[1] = 0.; 557 isend[2] = 0.; 558 isend[3] = 0.; 559 isend[4] = 0.; 560 } 561 isend[5] = matis->A->num_ass; 562 if (flag == MAT_LOCAL) { 563 ginfo->nz_used = isend[0]; 564 ginfo->nz_allocated = isend[1]; 565 ginfo->nz_unneeded = isend[2]; 566 ginfo->memory = isend[3]; 567 ginfo->mallocs = isend[4]; 568 ginfo->assemblies = isend[5]; 569 } else if (flag == MAT_GLOBAL_MAX) { 570 ierr = MPIU_Allreduce(isend,irecv,6,MPIU_REAL,MPIU_MAX,PetscObjectComm((PetscObject)A));CHKERRQ(ierr); 571 572 ginfo->nz_used = irecv[0]; 573 ginfo->nz_allocated = irecv[1]; 574 ginfo->nz_unneeded = irecv[2]; 575 ginfo->memory = irecv[3]; 576 ginfo->mallocs = irecv[4]; 577 ginfo->assemblies = irecv[5]; 578 } else if (flag == MAT_GLOBAL_SUM) { 579 ierr = MPIU_Allreduce(isend,irecv,5,MPIU_REAL,MPIU_SUM,PetscObjectComm((PetscObject)A));CHKERRQ(ierr); 580 581 ginfo->nz_used = irecv[0]; 582 ginfo->nz_allocated = irecv[1]; 583 ginfo->nz_unneeded = irecv[2]; 584 ginfo->memory = irecv[3]; 585 ginfo->mallocs = irecv[4]; 586 ginfo->assemblies = A->num_ass; 587 } 588 ginfo->block_size = bs; 589 ginfo->fill_ratio_given = 0; 590 ginfo->fill_ratio_needed = 0; 591 ginfo->factor_mallocs = 0; 592 PetscFunctionReturn(0); 593 } 594 595 PetscErrorCode MatTranspose_IS(Mat A,MatReuse reuse,Mat *B) 596 { 597 Mat C,lC,lA; 598 PetscErrorCode ierr; 599 600 PetscFunctionBegin; 601 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_INPLACE_MATRIX) { 602 ISLocalToGlobalMapping rl2g,cl2g; 603 ierr = MatCreate(PetscObjectComm((PetscObject)A),&C);CHKERRQ(ierr); 604 ierr = MatSetSizes(C,A->cmap->n,A->rmap->n,A->cmap->N,A->rmap->N);CHKERRQ(ierr); 605 ierr = MatSetBlockSizes(C,PetscAbs(A->cmap->bs),PetscAbs(A->rmap->bs));CHKERRQ(ierr); 606 ierr = MatSetType(C,MATIS);CHKERRQ(ierr); 607 ierr = MatGetLocalToGlobalMapping(A,&rl2g,&cl2g);CHKERRQ(ierr); 608 ierr = MatSetLocalToGlobalMapping(C,cl2g,rl2g);CHKERRQ(ierr); 609 } else { 610 C = *B; 611 } 612 613 /* perform local transposition */ 614 ierr = MatISGetLocalMat(A,&lA);CHKERRQ(ierr); 615 ierr = MatTranspose(lA,MAT_INITIAL_MATRIX,&lC);CHKERRQ(ierr); 616 ierr = MatISSetLocalMat(C,lC);CHKERRQ(ierr); 617 ierr = MatDestroy(&lC);CHKERRQ(ierr); 618 619 if (reuse == MAT_INITIAL_MATRIX || reuse == MAT_REUSE_MATRIX) { 620 *B = C; 621 } else { 622 ierr = MatHeaderMerge(A,&C);CHKERRQ(ierr); 623 } 624 ierr = MatAssemblyBegin(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 625 ierr = MatAssemblyEnd(*B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 626 PetscFunctionReturn(0); 627 } 628 629 PetscErrorCode MatDiagonalSet_IS(Mat A,Vec D,InsertMode insmode) 630 { 631 Mat_IS *is = (Mat_IS*)A->data; 632 PetscErrorCode ierr; 633 634 PetscFunctionBegin; 635 if (!D) { /* this code branch is used by MatShift_IS */ 636 ierr = VecSet(is->y,1.);CHKERRQ(ierr); 637 } else { 638 ierr = VecScatterBegin(is->rctx,D,is->y,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 639 ierr = VecScatterEnd(is->rctx,D,is->y,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 640 } 641 ierr = VecPointwiseDivide(is->y,is->y,is->counter);CHKERRQ(ierr); 642 ierr = MatDiagonalSet(is->A,is->y,insmode);CHKERRQ(ierr); 643 PetscFunctionReturn(0); 644 } 645 646 PetscErrorCode MatShift_IS(Mat A,PetscScalar a) 647 { 648 PetscErrorCode ierr; 649 650 PetscFunctionBegin; 651 ierr = MatDiagonalSet_IS(A,NULL,ADD_VALUES);CHKERRQ(ierr); 652 PetscFunctionReturn(0); 653 } 654 655 static PetscErrorCode MatSetValuesLocal_SubMat_IS(Mat A,PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols,const PetscScalar *values,InsertMode addv) 656 { 657 PetscErrorCode ierr; 658 Mat_IS *is = (Mat_IS*)A->data; 659 PetscInt rows_l[MATIS_MAX_ENTRIES_INSERTION],cols_l[MATIS_MAX_ENTRIES_INSERTION]; 660 661 PetscFunctionBegin; 662 #if defined(PETSC_USE_DEBUG) 663 if (m > MATIS_MAX_ENTRIES_INSERTION || n > MATIS_MAX_ENTRIES_INSERTION) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of row/column indices must be <= %D: they are %D %D",MATIS_MAX_ENTRIES_INSERTION,m,n); 664 #endif 665 ierr = ISLocalToGlobalMappingApply(A->rmap->mapping,m,rows,rows_l);CHKERRQ(ierr); 666 ierr = ISLocalToGlobalMappingApply(A->cmap->mapping,n,cols,cols_l);CHKERRQ(ierr); 667 ierr = MatSetValues(is->A,m,rows_l,n,cols_l,values,addv);CHKERRQ(ierr); 668 PetscFunctionReturn(0); 669 } 670 671 static PetscErrorCode MatSetValuesBlockedLocal_SubMat_IS(Mat A,PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols,const PetscScalar *values,InsertMode addv) 672 { 673 PetscErrorCode ierr; 674 Mat_IS *is = (Mat_IS*)A->data; 675 PetscInt rows_l[MATIS_MAX_ENTRIES_INSERTION],cols_l[MATIS_MAX_ENTRIES_INSERTION]; 676 677 PetscFunctionBegin; 678 #if defined(PETSC_USE_DEBUG) 679 if (m > MATIS_MAX_ENTRIES_INSERTION || n > MATIS_MAX_ENTRIES_INSERTION) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of row/column block indices must be <= %D: they are %D %D",MATIS_MAX_ENTRIES_INSERTION,m,n); 680 #endif 681 ierr = ISLocalToGlobalMappingApplyBlock(A->rmap->mapping,m,rows,rows_l);CHKERRQ(ierr); 682 ierr = ISLocalToGlobalMappingApplyBlock(A->cmap->mapping,n,cols,cols_l);CHKERRQ(ierr); 683 ierr = MatSetValuesBlocked(is->A,m,rows_l,n,cols_l,values,addv);CHKERRQ(ierr); 684 PetscFunctionReturn(0); 685 } 686 687 static PetscErrorCode PetscLayoutMapLocal_Private(PetscLayout map,PetscInt N,const PetscInt idxs[], PetscInt *on,PetscInt **oidxs,PetscInt **ogidxs) 688 { 689 PetscInt *owners = map->range; 690 PetscInt n = map->n; 691 PetscSF sf; 692 PetscInt *lidxs,*work = NULL; 693 PetscSFNode *ridxs; 694 PetscMPIInt rank; 695 PetscInt r, p = 0, len = 0; 696 PetscErrorCode ierr; 697 698 PetscFunctionBegin; 699 if (on) *on = 0; /* squelch -Wmaybe-uninitialized */ 700 /* Create SF where leaves are input idxs and roots are owned idxs (code adapted from MatZeroRowsMapLocal_Private) */ 701 ierr = MPI_Comm_rank(map->comm,&rank);CHKERRQ(ierr); 702 ierr = PetscMalloc1(n,&lidxs);CHKERRQ(ierr); 703 for (r = 0; r < n; ++r) lidxs[r] = -1; 704 ierr = PetscMalloc1(N,&ridxs);CHKERRQ(ierr); 705 for (r = 0; r < N; ++r) { 706 const PetscInt idx = idxs[r]; 707 if (idx < 0 || map->N <= idx) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_ARG_OUTOFRANGE,"Index %D out of range [0,%D)",idx,map->N); 708 if (idx < owners[p] || owners[p+1] <= idx) { /* short-circuit the search if the last p owns this idx too */ 709 ierr = PetscLayoutFindOwner(map,idx,&p);CHKERRQ(ierr); 710 } 711 ridxs[r].rank = p; 712 ridxs[r].index = idxs[r] - owners[p]; 713 } 714 ierr = PetscSFCreate(map->comm,&sf);CHKERRQ(ierr); 715 ierr = PetscSFSetGraph(sf,n,N,NULL,PETSC_OWN_POINTER,ridxs,PETSC_OWN_POINTER);CHKERRQ(ierr); 716 ierr = PetscSFReduceBegin(sf,MPIU_INT,(PetscInt*)idxs,lidxs,MPI_LOR);CHKERRQ(ierr); 717 ierr = PetscSFReduceEnd(sf,MPIU_INT,(PetscInt*)idxs,lidxs,MPI_LOR);CHKERRQ(ierr); 718 if (ogidxs) { /* communicate global idxs */ 719 PetscInt cum = 0,start,*work2; 720 721 ierr = PetscMalloc1(n,&work);CHKERRQ(ierr); 722 ierr = PetscCalloc1(N,&work2);CHKERRQ(ierr); 723 for (r = 0; r < N; ++r) if (idxs[r] >=0) cum++; 724 ierr = MPI_Scan(&cum,&start,1,MPIU_INT,MPI_SUM,map->comm);CHKERRQ(ierr); 725 start -= cum; 726 cum = 0; 727 for (r = 0; r < N; ++r) if (idxs[r] >=0) work2[r] = start+cum++; 728 ierr = PetscSFReduceBegin(sf,MPIU_INT,work2,work,MPIU_REPLACE);CHKERRQ(ierr); 729 ierr = PetscSFReduceEnd(sf,MPIU_INT,work2,work,MPIU_REPLACE);CHKERRQ(ierr); 730 ierr = PetscFree(work2);CHKERRQ(ierr); 731 } 732 ierr = PetscSFDestroy(&sf);CHKERRQ(ierr); 733 /* Compress and put in indices */ 734 for (r = 0; r < n; ++r) 735 if (lidxs[r] >= 0) { 736 if (work) work[len] = work[r]; 737 lidxs[len++] = r; 738 } 739 if (on) *on = len; 740 if (oidxs) *oidxs = lidxs; 741 if (ogidxs) *ogidxs = work; 742 PetscFunctionReturn(0); 743 } 744 745 static PetscErrorCode MatCreateSubMatrix_IS(Mat mat,IS irow,IS icol,MatReuse scall,Mat *newmat) 746 { 747 Mat locmat,newlocmat; 748 Mat_IS *newmatis; 749 #if defined(PETSC_USE_DEBUG) 750 Vec rtest,ltest; 751 const PetscScalar *array; 752 #endif 753 const PetscInt *idxs; 754 PetscInt i,m,n; 755 PetscErrorCode ierr; 756 757 PetscFunctionBegin; 758 if (scall == MAT_REUSE_MATRIX) { 759 PetscBool ismatis; 760 761 ierr = PetscObjectTypeCompare((PetscObject)*newmat,MATIS,&ismatis);CHKERRQ(ierr); 762 if (!ismatis) SETERRQ(PetscObjectComm((PetscObject)*newmat),PETSC_ERR_ARG_WRONG,"Cannot reuse matrix! Not of MATIS type"); 763 newmatis = (Mat_IS*)(*newmat)->data; 764 if (!newmatis->getsub_ris) SETERRQ(PetscObjectComm((PetscObject)*newmat),PETSC_ERR_ARG_WRONG,"Cannot reuse matrix! Misses local row IS"); 765 if (!newmatis->getsub_cis) SETERRQ(PetscObjectComm((PetscObject)*newmat),PETSC_ERR_ARG_WRONG,"Cannot reuse matrix! Misses local col IS"); 766 } 767 /* irow and icol may not have duplicate entries */ 768 #if defined(PETSC_USE_DEBUG) 769 ierr = MatCreateVecs(mat,<est,&rtest);CHKERRQ(ierr); 770 ierr = ISGetLocalSize(irow,&n);CHKERRQ(ierr); 771 ierr = ISGetIndices(irow,&idxs);CHKERRQ(ierr); 772 for (i=0;i<n;i++) { 773 ierr = VecSetValue(rtest,idxs[i],1.0,ADD_VALUES);CHKERRQ(ierr); 774 } 775 ierr = VecAssemblyBegin(rtest);CHKERRQ(ierr); 776 ierr = VecAssemblyEnd(rtest);CHKERRQ(ierr); 777 ierr = VecGetLocalSize(rtest,&n);CHKERRQ(ierr); 778 ierr = VecGetOwnershipRange(rtest,&m,NULL);CHKERRQ(ierr); 779 ierr = VecGetArrayRead(rtest,&array);CHKERRQ(ierr); 780 for (i=0;i<n;i++) if (array[i] != 0. && array[i] != 1.) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Index %D counted %D times! Irow may not have duplicate entries",i+m,(PetscInt)PetscRealPart(array[i])); 781 ierr = VecRestoreArrayRead(rtest,&array);CHKERRQ(ierr); 782 ierr = ISRestoreIndices(irow,&idxs);CHKERRQ(ierr); 783 ierr = ISGetLocalSize(icol,&n);CHKERRQ(ierr); 784 ierr = ISGetIndices(icol,&idxs);CHKERRQ(ierr); 785 for (i=0;i<n;i++) { 786 ierr = VecSetValue(ltest,idxs[i],1.0,ADD_VALUES);CHKERRQ(ierr); 787 } 788 ierr = VecAssemblyBegin(ltest);CHKERRQ(ierr); 789 ierr = VecAssemblyEnd(ltest);CHKERRQ(ierr); 790 ierr = VecGetLocalSize(ltest,&n);CHKERRQ(ierr); 791 ierr = VecGetOwnershipRange(ltest,&m,NULL);CHKERRQ(ierr); 792 ierr = VecGetArrayRead(ltest,&array);CHKERRQ(ierr); 793 for (i=0;i<n;i++) if (array[i] != 0. && array[i] != 1.) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Index %D counted %D times! Icol may not have duplicate entries",i+m,(PetscInt)PetscRealPart(array[i])); 794 ierr = VecRestoreArrayRead(ltest,&array);CHKERRQ(ierr); 795 ierr = ISRestoreIndices(icol,&idxs);CHKERRQ(ierr); 796 ierr = VecDestroy(&rtest);CHKERRQ(ierr); 797 ierr = VecDestroy(<est);CHKERRQ(ierr); 798 #endif 799 if (scall == MAT_INITIAL_MATRIX) { 800 Mat_IS *matis = (Mat_IS*)mat->data; 801 ISLocalToGlobalMapping rl2g; 802 IS is; 803 PetscInt *lidxs,*lgidxs,*newgidxs; 804 PetscInt ll,newloc; 805 MPI_Comm comm; 806 807 ierr = PetscObjectGetComm((PetscObject)mat,&comm);CHKERRQ(ierr); 808 ierr = ISGetLocalSize(irow,&m);CHKERRQ(ierr); 809 ierr = ISGetLocalSize(icol,&n);CHKERRQ(ierr); 810 ierr = MatCreate(comm,newmat);CHKERRQ(ierr); 811 ierr = MatSetType(*newmat,MATIS);CHKERRQ(ierr); 812 ierr = MatSetSizes(*newmat,m,n,PETSC_DECIDE,PETSC_DECIDE);CHKERRQ(ierr); 813 /* communicate irow to their owners in the layout */ 814 ierr = ISGetIndices(irow,&idxs);CHKERRQ(ierr); 815 ierr = PetscLayoutMapLocal_Private(mat->rmap,m,idxs,&ll,&lidxs,&lgidxs);CHKERRQ(ierr); 816 ierr = ISRestoreIndices(irow,&idxs);CHKERRQ(ierr); 817 ierr = MatISSetUpSF(mat);CHKERRQ(ierr); 818 ierr = PetscMemzero(matis->sf_rootdata,matis->sf->nroots*sizeof(PetscInt));CHKERRQ(ierr); 819 for (i=0;i<ll;i++) matis->sf_rootdata[lidxs[i]] = lgidxs[i]+1; 820 ierr = PetscFree(lidxs);CHKERRQ(ierr); 821 ierr = PetscFree(lgidxs);CHKERRQ(ierr); 822 ierr = PetscSFBcastBegin(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 823 ierr = PetscSFBcastEnd(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 824 for (i=0,newloc=0;i<matis->sf->nleaves;i++) if (matis->sf_leafdata[i]) newloc++; 825 ierr = PetscMalloc1(newloc,&newgidxs);CHKERRQ(ierr); 826 ierr = PetscMalloc1(newloc,&lidxs);CHKERRQ(ierr); 827 for (i=0,newloc=0;i<matis->sf->nleaves;i++) 828 if (matis->sf_leafdata[i]) { 829 lidxs[newloc] = i; 830 newgidxs[newloc++] = matis->sf_leafdata[i]-1; 831 } 832 ierr = ISCreateGeneral(comm,newloc,newgidxs,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 833 ierr = ISLocalToGlobalMappingCreateIS(is,&rl2g);CHKERRQ(ierr); 834 ierr = ISDestroy(&is);CHKERRQ(ierr); 835 /* local is to extract local submatrix */ 836 newmatis = (Mat_IS*)(*newmat)->data; 837 ierr = ISCreateGeneral(comm,newloc,lidxs,PETSC_OWN_POINTER,&newmatis->getsub_ris);CHKERRQ(ierr); 838 if (mat->congruentlayouts == -1) { /* first time we compare rows and cols layouts */ 839 PetscBool cong; 840 ierr = PetscLayoutCompare(mat->rmap,mat->cmap,&cong);CHKERRQ(ierr); 841 if (cong) mat->congruentlayouts = 1; 842 else mat->congruentlayouts = 0; 843 } 844 if (mat->congruentlayouts && irow == icol) { 845 ierr = MatSetLocalToGlobalMapping(*newmat,rl2g,rl2g);CHKERRQ(ierr); 846 ierr = PetscObjectReference((PetscObject)newmatis->getsub_ris);CHKERRQ(ierr); 847 newmatis->getsub_cis = newmatis->getsub_ris; 848 } else { 849 ISLocalToGlobalMapping cl2g; 850 851 /* communicate icol to their owners in the layout */ 852 ierr = ISGetIndices(icol,&idxs);CHKERRQ(ierr); 853 ierr = PetscLayoutMapLocal_Private(mat->cmap,n,idxs,&ll,&lidxs,&lgidxs);CHKERRQ(ierr); 854 ierr = ISRestoreIndices(icol,&idxs);CHKERRQ(ierr); 855 ierr = PetscMemzero(matis->csf_rootdata,matis->csf->nroots*sizeof(PetscInt));CHKERRQ(ierr); 856 for (i=0;i<ll;i++) matis->csf_rootdata[lidxs[i]] = lgidxs[i]+1; 857 ierr = PetscFree(lidxs);CHKERRQ(ierr); 858 ierr = PetscFree(lgidxs);CHKERRQ(ierr); 859 ierr = PetscSFBcastBegin(matis->csf,MPIU_INT,matis->csf_rootdata,matis->csf_leafdata);CHKERRQ(ierr); 860 ierr = PetscSFBcastEnd(matis->csf,MPIU_INT,matis->csf_rootdata,matis->csf_leafdata);CHKERRQ(ierr); 861 for (i=0,newloc=0;i<matis->csf->nleaves;i++) if (matis->csf_leafdata[i]) newloc++; 862 ierr = PetscMalloc1(newloc,&newgidxs);CHKERRQ(ierr); 863 ierr = PetscMalloc1(newloc,&lidxs);CHKERRQ(ierr); 864 for (i=0,newloc=0;i<matis->csf->nleaves;i++) 865 if (matis->csf_leafdata[i]) { 866 lidxs[newloc] = i; 867 newgidxs[newloc++] = matis->csf_leafdata[i]-1; 868 } 869 ierr = ISCreateGeneral(comm,newloc,newgidxs,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 870 ierr = ISLocalToGlobalMappingCreateIS(is,&cl2g);CHKERRQ(ierr); 871 ierr = ISDestroy(&is);CHKERRQ(ierr); 872 /* local is to extract local submatrix */ 873 ierr = ISCreateGeneral(comm,newloc,lidxs,PETSC_OWN_POINTER,&newmatis->getsub_cis);CHKERRQ(ierr); 874 ierr = MatSetLocalToGlobalMapping(*newmat,rl2g,cl2g);CHKERRQ(ierr); 875 ierr = ISLocalToGlobalMappingDestroy(&cl2g);CHKERRQ(ierr); 876 } 877 ierr = ISLocalToGlobalMappingDestroy(&rl2g);CHKERRQ(ierr); 878 } else { 879 ierr = MatISGetLocalMat(*newmat,&newlocmat);CHKERRQ(ierr); 880 } 881 ierr = MatISGetLocalMat(mat,&locmat);CHKERRQ(ierr); 882 newmatis = (Mat_IS*)(*newmat)->data; 883 ierr = MatCreateSubMatrix(locmat,newmatis->getsub_ris,newmatis->getsub_cis,scall,&newlocmat);CHKERRQ(ierr); 884 if (scall == MAT_INITIAL_MATRIX) { 885 ierr = MatISSetLocalMat(*newmat,newlocmat);CHKERRQ(ierr); 886 ierr = MatDestroy(&newlocmat);CHKERRQ(ierr); 887 } 888 ierr = MatAssemblyBegin(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 889 ierr = MatAssemblyEnd(*newmat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 890 PetscFunctionReturn(0); 891 } 892 893 static PetscErrorCode MatCopy_IS(Mat A,Mat B,MatStructure str) 894 { 895 Mat_IS *a = (Mat_IS*)A->data,*b; 896 PetscBool ismatis; 897 PetscErrorCode ierr; 898 899 PetscFunctionBegin; 900 ierr = PetscObjectTypeCompare((PetscObject)B,MATIS,&ismatis);CHKERRQ(ierr); 901 if (!ismatis) SETERRQ(PetscObjectComm((PetscObject)B),PETSC_ERR_SUP,"Need to be implemented"); 902 b = (Mat_IS*)B->data; 903 ierr = MatCopy(a->A,b->A,str);CHKERRQ(ierr); 904 PetscFunctionReturn(0); 905 } 906 907 static PetscErrorCode MatMissingDiagonal_IS(Mat A,PetscBool *missing,PetscInt *d) 908 { 909 Vec v; 910 const PetscScalar *array; 911 PetscInt i,n; 912 PetscErrorCode ierr; 913 914 PetscFunctionBegin; 915 *missing = PETSC_FALSE; 916 ierr = MatCreateVecs(A,NULL,&v);CHKERRQ(ierr); 917 ierr = MatGetDiagonal(A,v);CHKERRQ(ierr); 918 ierr = VecGetLocalSize(v,&n);CHKERRQ(ierr); 919 ierr = VecGetArrayRead(v,&array);CHKERRQ(ierr); 920 for (i=0;i<n;i++) if (array[i] == 0.) break; 921 ierr = VecRestoreArrayRead(v,&array);CHKERRQ(ierr); 922 ierr = VecDestroy(&v);CHKERRQ(ierr); 923 if (i != n) *missing = PETSC_TRUE; 924 if (d) { 925 *d = -1; 926 if (*missing) { 927 PetscInt rstart; 928 ierr = MatGetOwnershipRange(A,&rstart,NULL);CHKERRQ(ierr); 929 *d = i+rstart; 930 } 931 } 932 PetscFunctionReturn(0); 933 } 934 935 static PetscErrorCode MatISSetUpSF_IS(Mat B) 936 { 937 Mat_IS *matis = (Mat_IS*)(B->data); 938 const PetscInt *gidxs; 939 PetscInt nleaves; 940 PetscErrorCode ierr; 941 942 PetscFunctionBegin; 943 if (matis->sf) PetscFunctionReturn(0); 944 ierr = PetscSFCreate(PetscObjectComm((PetscObject)B),&matis->sf);CHKERRQ(ierr); 945 ierr = ISLocalToGlobalMappingGetIndices(B->rmap->mapping,&gidxs);CHKERRQ(ierr); 946 ierr = ISLocalToGlobalMappingGetSize(B->rmap->mapping,&nleaves);CHKERRQ(ierr); 947 ierr = PetscSFSetGraphLayout(matis->sf,B->rmap,nleaves,NULL,PETSC_OWN_POINTER,gidxs);CHKERRQ(ierr); 948 ierr = ISLocalToGlobalMappingRestoreIndices(B->rmap->mapping,&gidxs);CHKERRQ(ierr); 949 ierr = PetscMalloc2(matis->sf->nroots,&matis->sf_rootdata,matis->sf->nleaves,&matis->sf_leafdata);CHKERRQ(ierr); 950 if (B->rmap->mapping != B->cmap->mapping) { /* setup SF for columns */ 951 ierr = ISLocalToGlobalMappingGetSize(B->cmap->mapping,&nleaves);CHKERRQ(ierr); 952 ierr = PetscSFCreate(PetscObjectComm((PetscObject)B),&matis->csf);CHKERRQ(ierr); 953 ierr = ISLocalToGlobalMappingGetIndices(B->cmap->mapping,&gidxs);CHKERRQ(ierr); 954 ierr = PetscSFSetGraphLayout(matis->csf,B->cmap,nleaves,NULL,PETSC_OWN_POINTER,gidxs);CHKERRQ(ierr); 955 ierr = ISLocalToGlobalMappingRestoreIndices(B->cmap->mapping,&gidxs);CHKERRQ(ierr); 956 ierr = PetscMalloc2(matis->csf->nroots,&matis->csf_rootdata,matis->csf->nleaves,&matis->csf_leafdata);CHKERRQ(ierr); 957 } else { 958 matis->csf = matis->sf; 959 matis->csf_leafdata = matis->sf_leafdata; 960 matis->csf_rootdata = matis->sf_rootdata; 961 } 962 PetscFunctionReturn(0); 963 } 964 965 /*@ 966 MatISSetPreallocation - Preallocates memory for a MATIS parallel matrix. 967 968 Collective on MPI_Comm 969 970 Input Parameters: 971 + B - the matrix 972 . d_nz - number of nonzeros per row in DIAGONAL portion of local submatrix 973 (same value is used for all local rows) 974 . d_nnz - array containing the number of nonzeros in the various rows of the 975 DIAGONAL portion of the local submatrix (possibly different for each row) 976 or NULL, if d_nz is used to specify the nonzero structure. 977 The size of this array is equal to the number of local rows, i.e 'm'. 978 For matrices that will be factored, you must leave room for (and set) 979 the diagonal entry even if it is zero. 980 . o_nz - number of nonzeros per row in the OFF-DIAGONAL portion of local 981 submatrix (same value is used for all local rows). 982 - o_nnz - array containing the number of nonzeros in the various rows of the 983 OFF-DIAGONAL portion of the local submatrix (possibly different for 984 each row) or NULL, if o_nz is used to specify the nonzero 985 structure. The size of this array is equal to the number 986 of local rows, i.e 'm'. 987 988 If the *_nnz parameter is given then the *_nz parameter is ignored 989 990 Level: intermediate 991 992 Notes: This function has the same interface as the MPIAIJ preallocation routine in order to simplify the transition 993 from the asssembled format to the unassembled one. It overestimates the preallocation of MATIS local 994 matrices; for exact preallocation, the user should set the preallocation directly on local matrix objects. 995 996 .keywords: matrix 997 998 .seealso: MatCreate(), MatCreateIS(), MatMPIAIJSetPreallocation(), MatISGetLocalMat(), MATIS 999 @*/ 1000 PetscErrorCode MatISSetPreallocation(Mat B,PetscInt d_nz,const PetscInt d_nnz[],PetscInt o_nz,const PetscInt o_nnz[]) 1001 { 1002 PetscErrorCode ierr; 1003 1004 PetscFunctionBegin; 1005 PetscValidHeaderSpecific(B,MAT_CLASSID,1); 1006 PetscValidType(B,1); 1007 ierr = PetscTryMethod(B,"MatISSetPreallocation_C",(Mat,PetscInt,const PetscInt[],PetscInt,const PetscInt[]),(B,d_nz,d_nnz,o_nz,o_nnz));CHKERRQ(ierr); 1008 PetscFunctionReturn(0); 1009 } 1010 1011 static PetscErrorCode MatISSetPreallocation_IS(Mat B,PetscInt d_nz,const PetscInt d_nnz[],PetscInt o_nz,const PetscInt o_nnz[]) 1012 { 1013 Mat_IS *matis = (Mat_IS*)(B->data); 1014 PetscInt bs,i,nlocalcols; 1015 PetscErrorCode ierr; 1016 1017 PetscFunctionBegin; 1018 if (!matis->A) SETERRQ(PetscObjectComm((PetscObject)B),PETSC_ERR_SUP,"You should first call MatSetLocalToGlobalMapping"); 1019 ierr = MatISSetUpSF(B);CHKERRQ(ierr); 1020 1021 if (!d_nnz) for (i=0;i<matis->sf->nroots;i++) matis->sf_rootdata[i] = d_nz; 1022 else for (i=0;i<matis->sf->nroots;i++) matis->sf_rootdata[i] = d_nnz[i]; 1023 1024 if (!o_nnz) for (i=0;i<matis->sf->nroots;i++) matis->sf_rootdata[i] += o_nz; 1025 else for (i=0;i<matis->sf->nroots;i++) matis->sf_rootdata[i] += o_nnz[i]; 1026 1027 ierr = PetscSFBcastBegin(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 1028 ierr = MatGetSize(matis->A,NULL,&nlocalcols);CHKERRQ(ierr); 1029 ierr = MatGetBlockSize(matis->A,&bs);CHKERRQ(ierr); 1030 ierr = PetscSFBcastEnd(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 1031 1032 for (i=0;i<matis->sf->nleaves;i++) matis->sf_leafdata[i] = PetscMin(matis->sf_leafdata[i],nlocalcols); 1033 ierr = MatSeqAIJSetPreallocation(matis->A,0,matis->sf_leafdata);CHKERRQ(ierr); 1034 1035 for (i=0;i<matis->sf->nleaves/bs;i++) matis->sf_leafdata[i] = matis->sf_leafdata[i*bs]/bs; 1036 ierr = MatSeqBAIJSetPreallocation(matis->A,bs,0,matis->sf_leafdata);CHKERRQ(ierr); 1037 1038 for (i=0;i<matis->sf->nleaves/bs;i++) matis->sf_leafdata[i] = matis->sf_leafdata[i]-i; 1039 ierr = MatSeqSBAIJSetPreallocation(matis->A,bs,0,matis->sf_leafdata);CHKERRQ(ierr); 1040 PetscFunctionReturn(0); 1041 } 1042 1043 PETSC_EXTERN PetscErrorCode MatISSetMPIXAIJPreallocation_Private(Mat A, Mat B, PetscBool maxreduce) 1044 { 1045 Mat_IS *matis = (Mat_IS*)(A->data); 1046 PetscInt *my_dnz,*my_onz,*dnz,*onz,*mat_ranges,*row_ownership; 1047 const PetscInt *global_indices_r,*global_indices_c; 1048 PetscInt i,j,bs,rows,cols; 1049 PetscInt lrows,lcols; 1050 PetscInt local_rows,local_cols; 1051 PetscMPIInt nsubdomains; 1052 PetscBool isdense,issbaij; 1053 PetscErrorCode ierr; 1054 1055 PetscFunctionBegin; 1056 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)A),&nsubdomains);CHKERRQ(ierr); 1057 ierr = MatGetSize(A,&rows,&cols);CHKERRQ(ierr); 1058 ierr = MatGetBlockSize(A,&bs);CHKERRQ(ierr); 1059 ierr = MatGetSize(matis->A,&local_rows,&local_cols);CHKERRQ(ierr); 1060 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQDENSE,&isdense);CHKERRQ(ierr); 1061 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQSBAIJ,&issbaij);CHKERRQ(ierr); 1062 ierr = ISLocalToGlobalMappingGetIndices(A->rmap->mapping,&global_indices_r);CHKERRQ(ierr); 1063 if (A->rmap->mapping != A->cmap->mapping) { 1064 ierr = ISLocalToGlobalMappingGetIndices(A->cmap->mapping,&global_indices_c);CHKERRQ(ierr); 1065 } else { 1066 global_indices_c = global_indices_r; 1067 } 1068 1069 if (issbaij) { 1070 ierr = MatGetRowUpperTriangular(matis->A);CHKERRQ(ierr); 1071 } 1072 /* 1073 An SF reduce is needed to sum up properly on shared rows. 1074 Note that generally preallocation is not exact, since it overestimates nonzeros 1075 */ 1076 ierr = MatISSetUpSF(A);CHKERRQ(ierr); 1077 ierr = MatGetLocalSize(A,&lrows,&lcols);CHKERRQ(ierr); 1078 ierr = MatPreallocateInitialize(PetscObjectComm((PetscObject)A),lrows,lcols,dnz,onz);CHKERRQ(ierr); 1079 /* All processes need to compute entire row ownership */ 1080 ierr = PetscMalloc1(rows,&row_ownership);CHKERRQ(ierr); 1081 ierr = MatGetOwnershipRanges(A,(const PetscInt**)&mat_ranges);CHKERRQ(ierr); 1082 for (i=0;i<nsubdomains;i++) { 1083 for (j=mat_ranges[i];j<mat_ranges[i+1];j++) { 1084 row_ownership[j] = i; 1085 } 1086 } 1087 ierr = MatGetOwnershipRangesColumn(A,(const PetscInt**)&mat_ranges);CHKERRQ(ierr); 1088 1089 /* 1090 my_dnz and my_onz contains exact contribution to preallocation from each local mat 1091 then, they will be summed up properly. This way, preallocation is always sufficient 1092 */ 1093 ierr = PetscCalloc2(local_rows,&my_dnz,local_rows,&my_onz);CHKERRQ(ierr); 1094 /* preallocation as a MATAIJ */ 1095 if (isdense) { /* special case for dense local matrices */ 1096 for (i=0;i<local_rows;i++) { 1097 PetscInt index_row = global_indices_r[i]; 1098 for (j=i;j<local_rows;j++) { 1099 PetscInt owner = row_ownership[index_row]; 1100 PetscInt index_col = global_indices_c[j]; 1101 if (index_col > mat_ranges[owner]-1 && index_col < mat_ranges[owner+1] ) { /* diag block */ 1102 my_dnz[i] += 1; 1103 } else { /* offdiag block */ 1104 my_onz[i] += 1; 1105 } 1106 /* same as before, interchanging rows and cols */ 1107 if (i != j) { 1108 owner = row_ownership[index_col]; 1109 if (index_row > mat_ranges[owner]-1 && index_row < mat_ranges[owner+1] ) { 1110 my_dnz[j] += 1; 1111 } else { 1112 my_onz[j] += 1; 1113 } 1114 } 1115 } 1116 } 1117 } else if (matis->A->ops->getrowij) { 1118 const PetscInt *ii,*jj,*jptr; 1119 PetscBool done; 1120 ierr = MatGetRowIJ(matis->A,0,PETSC_FALSE,PETSC_FALSE,&local_rows,&ii,&jj,&done);CHKERRQ(ierr); 1121 if (!done) SETERRQ(PetscObjectComm((PetscObject)(matis->A)),PETSC_ERR_PLIB,"Error in MatGetRowIJ"); 1122 jptr = jj; 1123 for (i=0;i<local_rows;i++) { 1124 PetscInt index_row = global_indices_r[i]; 1125 for (j=0;j<ii[i+1]-ii[i];j++,jptr++) { 1126 PetscInt owner = row_ownership[index_row]; 1127 PetscInt index_col = global_indices_c[*jptr]; 1128 if (index_col > mat_ranges[owner]-1 && index_col < mat_ranges[owner+1] ) { /* diag block */ 1129 my_dnz[i] += 1; 1130 } else { /* offdiag block */ 1131 my_onz[i] += 1; 1132 } 1133 /* same as before, interchanging rows and cols */ 1134 if (issbaij && index_col != index_row) { 1135 owner = row_ownership[index_col]; 1136 if (index_row > mat_ranges[owner]-1 && index_row < mat_ranges[owner+1] ) { 1137 my_dnz[*jptr] += 1; 1138 } else { 1139 my_onz[*jptr] += 1; 1140 } 1141 } 1142 } 1143 } 1144 ierr = MatRestoreRowIJ(matis->A,0,PETSC_FALSE,PETSC_FALSE,&local_rows,&ii,&jj,&done);CHKERRQ(ierr); 1145 if (!done) SETERRQ(PetscObjectComm((PetscObject)(matis->A)),PETSC_ERR_PLIB,"Error in MatRestoreRowIJ"); 1146 } else { /* loop over rows and use MatGetRow */ 1147 for (i=0;i<local_rows;i++) { 1148 const PetscInt *cols; 1149 PetscInt ncols,index_row = global_indices_r[i]; 1150 ierr = MatGetRow(matis->A,i,&ncols,&cols,NULL);CHKERRQ(ierr); 1151 for (j=0;j<ncols;j++) { 1152 PetscInt owner = row_ownership[index_row]; 1153 PetscInt index_col = global_indices_c[cols[j]]; 1154 if (index_col > mat_ranges[owner]-1 && index_col < mat_ranges[owner+1] ) { /* diag block */ 1155 my_dnz[i] += 1; 1156 } else { /* offdiag block */ 1157 my_onz[i] += 1; 1158 } 1159 /* same as before, interchanging rows and cols */ 1160 if (issbaij && index_col != index_row) { 1161 owner = row_ownership[index_col]; 1162 if (index_row > mat_ranges[owner]-1 && index_row < mat_ranges[owner+1] ) { 1163 my_dnz[cols[j]] += 1; 1164 } else { 1165 my_onz[cols[j]] += 1; 1166 } 1167 } 1168 } 1169 ierr = MatRestoreRow(matis->A,i,&ncols,&cols,NULL);CHKERRQ(ierr); 1170 } 1171 } 1172 if (global_indices_c != global_indices_r) { 1173 ierr = ISLocalToGlobalMappingRestoreIndices(A->cmap->mapping,&global_indices_c);CHKERRQ(ierr); 1174 } 1175 ierr = ISLocalToGlobalMappingRestoreIndices(A->rmap->mapping,&global_indices_r);CHKERRQ(ierr); 1176 ierr = PetscFree(row_ownership);CHKERRQ(ierr); 1177 1178 /* Reduce my_dnz and my_onz */ 1179 if (maxreduce) { 1180 ierr = PetscSFReduceBegin(matis->sf,MPIU_INT,my_dnz,dnz,MPI_MAX);CHKERRQ(ierr); 1181 ierr = PetscSFReduceBegin(matis->sf,MPIU_INT,my_onz,onz,MPI_MAX);CHKERRQ(ierr); 1182 ierr = PetscSFReduceEnd(matis->sf,MPIU_INT,my_dnz,dnz,MPI_MAX);CHKERRQ(ierr); 1183 ierr = PetscSFReduceEnd(matis->sf,MPIU_INT,my_onz,onz,MPI_MAX);CHKERRQ(ierr); 1184 } else { 1185 ierr = PetscSFReduceBegin(matis->sf,MPIU_INT,my_dnz,dnz,MPI_SUM);CHKERRQ(ierr); 1186 ierr = PetscSFReduceBegin(matis->sf,MPIU_INT,my_onz,onz,MPI_SUM);CHKERRQ(ierr); 1187 ierr = PetscSFReduceEnd(matis->sf,MPIU_INT,my_dnz,dnz,MPI_SUM);CHKERRQ(ierr); 1188 ierr = PetscSFReduceEnd(matis->sf,MPIU_INT,my_onz,onz,MPI_SUM);CHKERRQ(ierr); 1189 } 1190 ierr = PetscFree2(my_dnz,my_onz);CHKERRQ(ierr); 1191 1192 /* Resize preallocation if overestimated */ 1193 for (i=0;i<lrows;i++) { 1194 dnz[i] = PetscMin(dnz[i],lcols); 1195 onz[i] = PetscMin(onz[i],cols-lcols); 1196 } 1197 1198 /* Set preallocation */ 1199 ierr = MatMPIAIJSetPreallocation(B,0,dnz,0,onz);CHKERRQ(ierr); 1200 for (i=0;i<lrows/bs;i++) { 1201 dnz[i] = dnz[i*bs]/bs; 1202 onz[i] = onz[i*bs]/bs; 1203 } 1204 ierr = MatMPIBAIJSetPreallocation(B,bs,0,dnz,0,onz);CHKERRQ(ierr); 1205 ierr = MatMPISBAIJSetPreallocation(B,bs,0,dnz,0,onz);CHKERRQ(ierr); 1206 ierr = MatPreallocateFinalize(dnz,onz);CHKERRQ(ierr); 1207 if (issbaij) { 1208 ierr = MatRestoreRowUpperTriangular(matis->A);CHKERRQ(ierr); 1209 } 1210 PetscFunctionReturn(0); 1211 } 1212 1213 static PetscErrorCode MatISGetMPIXAIJ_IS(Mat mat, MatReuse reuse, Mat *M) 1214 { 1215 Mat_IS *matis = (Mat_IS*)(mat->data); 1216 Mat local_mat; 1217 /* info on mat */ 1218 PetscInt bs,rows,cols,lrows,lcols; 1219 PetscInt local_rows,local_cols; 1220 PetscBool isseqdense,isseqsbaij,isseqaij,isseqbaij; 1221 #if defined (PETSC_USE_DEBUG) 1222 PetscBool lb[4],bb[4]; 1223 #endif 1224 PetscMPIInt nsubdomains; 1225 /* values insertion */ 1226 PetscScalar *array; 1227 /* work */ 1228 PetscErrorCode ierr; 1229 1230 PetscFunctionBegin; 1231 /* get info from mat */ 1232 ierr = MPI_Comm_size(PetscObjectComm((PetscObject)mat),&nsubdomains);CHKERRQ(ierr); 1233 if (nsubdomains == 1) { 1234 Mat B; 1235 IS rows,cols; 1236 IS irows,icols; 1237 const PetscInt *ridxs,*cidxs; 1238 1239 ierr = ISLocalToGlobalMappingGetIndices(mat->rmap->mapping,&ridxs);CHKERRQ(ierr); 1240 ierr = ISLocalToGlobalMappingGetIndices(mat->cmap->mapping,&cidxs);CHKERRQ(ierr); 1241 ierr = ISCreateGeneral(PETSC_COMM_SELF,mat->rmap->n,ridxs,PETSC_USE_POINTER,&rows);CHKERRQ(ierr); 1242 ierr = ISCreateGeneral(PETSC_COMM_SELF,mat->cmap->n,cidxs,PETSC_USE_POINTER,&cols);CHKERRQ(ierr); 1243 ierr = ISLocalToGlobalMappingRestoreIndices(mat->rmap->mapping,&ridxs);CHKERRQ(ierr); 1244 ierr = ISLocalToGlobalMappingRestoreIndices(mat->cmap->mapping,&cidxs);CHKERRQ(ierr); 1245 ierr = ISSetPermutation(rows);CHKERRQ(ierr); 1246 ierr = ISSetPermutation(cols);CHKERRQ(ierr); 1247 ierr = ISInvertPermutation(rows,mat->rmap->n,&irows);CHKERRQ(ierr); 1248 ierr = ISInvertPermutation(cols,mat->cmap->n,&icols);CHKERRQ(ierr); 1249 ierr = ISDestroy(&cols);CHKERRQ(ierr); 1250 ierr = ISDestroy(&rows);CHKERRQ(ierr); 1251 ierr = MatConvert(matis->A,MATAIJ,MAT_INITIAL_MATRIX,&B);CHKERRQ(ierr); 1252 ierr = MatCreateSubMatrix(B,irows,icols,reuse,M);CHKERRQ(ierr); 1253 ierr = MatDestroy(&B);CHKERRQ(ierr); 1254 ierr = ISDestroy(&icols);CHKERRQ(ierr); 1255 ierr = ISDestroy(&irows);CHKERRQ(ierr); 1256 PetscFunctionReturn(0); 1257 } 1258 ierr = MatGetSize(mat,&rows,&cols);CHKERRQ(ierr); 1259 ierr = MatGetBlockSize(mat,&bs);CHKERRQ(ierr); 1260 ierr = MatGetLocalSize(mat,&lrows,&lcols);CHKERRQ(ierr); 1261 ierr = MatGetSize(matis->A,&local_rows,&local_cols);CHKERRQ(ierr); 1262 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQDENSE,&isseqdense);CHKERRQ(ierr); 1263 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQAIJ,&isseqaij);CHKERRQ(ierr); 1264 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQBAIJ,&isseqbaij);CHKERRQ(ierr); 1265 ierr = PetscObjectTypeCompare((PetscObject)matis->A,MATSEQSBAIJ,&isseqsbaij);CHKERRQ(ierr); 1266 if (!isseqdense && !isseqaij && !isseqbaij && !isseqsbaij) SETERRQ1(PETSC_COMM_SELF,PETSC_ERR_SUP,"Not for matrix type %s",((PetscObject)(matis->A))->type_name); 1267 #if defined (PETSC_USE_DEBUG) 1268 lb[0] = isseqdense; 1269 lb[1] = isseqaij; 1270 lb[2] = isseqbaij; 1271 lb[3] = isseqsbaij; 1272 ierr = MPIU_Allreduce(lb,bb,4,MPIU_BOOL,MPI_LAND,PetscObjectComm((PetscObject)mat));CHKERRQ(ierr); 1273 if (!bb[0] && !bb[1] && !bb[2] && !bb[3]) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Local matrices must have the same type"); 1274 #endif 1275 1276 if (reuse == MAT_INITIAL_MATRIX) { 1277 ierr = MatCreate(PetscObjectComm((PetscObject)mat),M);CHKERRQ(ierr); 1278 ierr = MatSetSizes(*M,lrows,lcols,rows,cols);CHKERRQ(ierr); 1279 ierr = MatSetBlockSize(*M,bs);CHKERRQ(ierr); 1280 if (!isseqsbaij) { 1281 ierr = MatSetType(*M,MATAIJ);CHKERRQ(ierr); 1282 } else { 1283 ierr = MatSetType(*M,MATSBAIJ);CHKERRQ(ierr); 1284 } 1285 ierr = MatISSetMPIXAIJPreallocation_Private(mat,*M,PETSC_FALSE);CHKERRQ(ierr); 1286 } else { 1287 PetscInt mbs,mrows,mcols,mlrows,mlcols; 1288 /* some checks */ 1289 ierr = MatGetBlockSize(*M,&mbs);CHKERRQ(ierr); 1290 ierr = MatGetSize(*M,&mrows,&mcols);CHKERRQ(ierr); 1291 ierr = MatGetLocalSize(*M,&mlrows,&mlcols);CHKERRQ(ierr); 1292 if (mrows != rows) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse matrix. Wrong number of rows (%d != %d)",rows,mrows); 1293 if (mcols != cols) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse matrix. Wrong number of cols (%d != %d)",cols,mcols); 1294 if (mlrows != lrows) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse matrix. Wrong number of local rows (%d != %d)",lrows,mlrows); 1295 if (mlcols != lcols) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse matrix. Wrong number of local cols (%d != %d)",lcols,mlcols); 1296 if (mbs != bs) SETERRQ2(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse matrix. Wrong block size (%d != %d)",bs,mbs); 1297 ierr = MatZeroEntries(*M);CHKERRQ(ierr); 1298 } 1299 1300 if (isseqsbaij) { 1301 ierr = MatConvert(matis->A,MATSEQBAIJ,MAT_INITIAL_MATRIX,&local_mat);CHKERRQ(ierr); 1302 } else { 1303 ierr = PetscObjectReference((PetscObject)matis->A);CHKERRQ(ierr); 1304 local_mat = matis->A; 1305 } 1306 1307 /* Set values */ 1308 ierr = MatSetLocalToGlobalMapping(*M,mat->rmap->mapping,mat->cmap->mapping);CHKERRQ(ierr); 1309 if (isseqdense) { /* special case for dense local matrices */ 1310 PetscInt i,*dummy_rows,*dummy_cols; 1311 1312 if (local_rows != local_cols) { 1313 ierr = PetscMalloc2(local_rows,&dummy_rows,local_cols,&dummy_cols);CHKERRQ(ierr); 1314 for (i=0;i<local_rows;i++) dummy_rows[i] = i; 1315 for (i=0;i<local_cols;i++) dummy_cols[i] = i; 1316 } else { 1317 ierr = PetscMalloc1(local_rows,&dummy_rows);CHKERRQ(ierr); 1318 for (i=0;i<local_rows;i++) dummy_rows[i] = i; 1319 dummy_cols = dummy_rows; 1320 } 1321 ierr = MatSetOption(*M,MAT_ROW_ORIENTED,PETSC_FALSE);CHKERRQ(ierr); 1322 ierr = MatDenseGetArray(local_mat,&array);CHKERRQ(ierr); 1323 ierr = MatSetValuesLocal(*M,local_rows,dummy_rows,local_cols,dummy_cols,array,ADD_VALUES);CHKERRQ(ierr); 1324 ierr = MatDenseRestoreArray(local_mat,&array);CHKERRQ(ierr); 1325 if (dummy_rows != dummy_cols) { 1326 ierr = PetscFree2(dummy_rows,dummy_cols);CHKERRQ(ierr); 1327 } else { 1328 ierr = PetscFree(dummy_rows);CHKERRQ(ierr); 1329 } 1330 } else if (isseqaij) { 1331 PetscInt i,nvtxs,*xadj,*adjncy; 1332 PetscBool done; 1333 1334 ierr = MatGetRowIJ(local_mat,0,PETSC_FALSE,PETSC_FALSE,&nvtxs,(const PetscInt**)&xadj,(const PetscInt**)&adjncy,&done);CHKERRQ(ierr); 1335 if (!done) SETERRQ(PetscObjectComm((PetscObject)local_mat),PETSC_ERR_PLIB,"Error in MatGetRowIJ"); 1336 ierr = MatSeqAIJGetArray(local_mat,&array);CHKERRQ(ierr); 1337 for (i=0;i<nvtxs;i++) { 1338 ierr = MatSetValuesLocal(*M,1,&i,xadj[i+1]-xadj[i],adjncy+xadj[i],array+xadj[i],ADD_VALUES);CHKERRQ(ierr); 1339 } 1340 ierr = MatRestoreRowIJ(local_mat,0,PETSC_FALSE,PETSC_FALSE,&nvtxs,(const PetscInt**)&xadj,(const PetscInt**)&adjncy,&done);CHKERRQ(ierr); 1341 if (!done) SETERRQ(PetscObjectComm((PetscObject)local_mat),PETSC_ERR_PLIB,"Error in MatRestoreRowIJ"); 1342 ierr = MatSeqAIJRestoreArray(local_mat,&array);CHKERRQ(ierr); 1343 } else { /* very basic values insertion for all other matrix types */ 1344 PetscInt i; 1345 1346 for (i=0;i<local_rows;i++) { 1347 PetscInt j; 1348 const PetscInt *local_indices_cols; 1349 1350 ierr = MatGetRow(local_mat,i,&j,&local_indices_cols,(const PetscScalar**)&array);CHKERRQ(ierr); 1351 ierr = MatSetValuesLocal(*M,1,&i,j,local_indices_cols,array,ADD_VALUES);CHKERRQ(ierr); 1352 ierr = MatRestoreRow(local_mat,i,&j,&local_indices_cols,(const PetscScalar**)&array);CHKERRQ(ierr); 1353 } 1354 } 1355 ierr = MatAssemblyBegin(*M,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1356 ierr = MatDestroy(&local_mat);CHKERRQ(ierr); 1357 ierr = MatAssemblyEnd(*M,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1358 if (isseqdense) { 1359 ierr = MatSetOption(*M,MAT_ROW_ORIENTED,PETSC_TRUE);CHKERRQ(ierr); 1360 } 1361 PetscFunctionReturn(0); 1362 } 1363 1364 /*@ 1365 MatISGetMPIXAIJ - Converts MATIS matrix into a parallel AIJ format 1366 1367 Input Parameter: 1368 . mat - the matrix (should be of type MATIS) 1369 . reuse - either MAT_INITIAL_MATRIX or MAT_REUSE_MATRIX 1370 1371 Output Parameter: 1372 . newmat - the matrix in AIJ format 1373 1374 Level: developer 1375 1376 Notes: mat and *newmat cannot be the same object when MAT_REUSE_MATRIX is requested. 1377 1378 .seealso: MATIS 1379 @*/ 1380 PetscErrorCode MatISGetMPIXAIJ(Mat mat, MatReuse reuse, Mat *newmat) 1381 { 1382 PetscErrorCode ierr; 1383 1384 PetscFunctionBegin; 1385 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 1386 PetscValidLogicalCollectiveEnum(mat,reuse,2); 1387 PetscValidPointer(newmat,3); 1388 if (reuse != MAT_INITIAL_MATRIX) { 1389 PetscValidHeaderSpecific(*newmat,MAT_CLASSID,3); 1390 PetscCheckSameComm(mat,1,*newmat,3); 1391 if (mat == *newmat) SETERRQ(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"Cannot reuse the same matrix"); 1392 } 1393 ierr = PetscUseMethod(mat,"MatISGetMPIXAIJ_C",(Mat,MatReuse,Mat*),(mat,reuse,newmat));CHKERRQ(ierr); 1394 PetscFunctionReturn(0); 1395 } 1396 1397 PetscErrorCode MatDuplicate_IS(Mat mat,MatDuplicateOption op,Mat *newmat) 1398 { 1399 PetscErrorCode ierr; 1400 Mat_IS *matis = (Mat_IS*)(mat->data); 1401 PetscInt bs,m,n,M,N; 1402 Mat B,localmat; 1403 1404 PetscFunctionBegin; 1405 ierr = MatGetBlockSize(mat,&bs);CHKERRQ(ierr); 1406 ierr = MatGetSize(mat,&M,&N);CHKERRQ(ierr); 1407 ierr = MatGetLocalSize(mat,&m,&n);CHKERRQ(ierr); 1408 ierr = MatCreateIS(PetscObjectComm((PetscObject)mat),bs,m,n,M,N,mat->rmap->mapping,mat->cmap->mapping,&B);CHKERRQ(ierr); 1409 ierr = MatDuplicate(matis->A,op,&localmat);CHKERRQ(ierr); 1410 ierr = MatISSetLocalMat(B,localmat);CHKERRQ(ierr); 1411 ierr = MatDestroy(&localmat);CHKERRQ(ierr); 1412 ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1413 ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1414 *newmat = B; 1415 PetscFunctionReturn(0); 1416 } 1417 1418 static PetscErrorCode MatIsHermitian_IS(Mat A,PetscReal tol,PetscBool *flg) 1419 { 1420 PetscErrorCode ierr; 1421 Mat_IS *matis = (Mat_IS*)A->data; 1422 PetscBool local_sym; 1423 1424 PetscFunctionBegin; 1425 ierr = MatIsHermitian(matis->A,tol,&local_sym);CHKERRQ(ierr); 1426 ierr = MPIU_Allreduce(&local_sym,flg,1,MPIU_BOOL,MPI_LAND,PetscObjectComm((PetscObject)A));CHKERRQ(ierr); 1427 PetscFunctionReturn(0); 1428 } 1429 1430 static PetscErrorCode MatIsSymmetric_IS(Mat A,PetscReal tol,PetscBool *flg) 1431 { 1432 PetscErrorCode ierr; 1433 Mat_IS *matis = (Mat_IS*)A->data; 1434 PetscBool local_sym; 1435 1436 PetscFunctionBegin; 1437 ierr = MatIsSymmetric(matis->A,tol,&local_sym);CHKERRQ(ierr); 1438 ierr = MPIU_Allreduce(&local_sym,flg,1,MPIU_BOOL,MPI_LAND,PetscObjectComm((PetscObject)A));CHKERRQ(ierr); 1439 PetscFunctionReturn(0); 1440 } 1441 1442 static PetscErrorCode MatIsStructurallySymmetric_IS(Mat A,PetscBool *flg) 1443 { 1444 PetscErrorCode ierr; 1445 Mat_IS *matis = (Mat_IS*)A->data; 1446 PetscBool local_sym; 1447 1448 PetscFunctionBegin; 1449 if (A->rmap->mapping != A->cmap->mapping) { 1450 *flg = PETSC_FALSE; 1451 PetscFunctionReturn(0); 1452 } 1453 ierr = MatIsStructurallySymmetric(matis->A,&local_sym);CHKERRQ(ierr); 1454 ierr = MPIU_Allreduce(&local_sym,flg,1,MPIU_BOOL,MPI_LAND,PetscObjectComm((PetscObject)A));CHKERRQ(ierr); 1455 PetscFunctionReturn(0); 1456 } 1457 1458 static PetscErrorCode MatDestroy_IS(Mat A) 1459 { 1460 PetscErrorCode ierr; 1461 Mat_IS *b = (Mat_IS*)A->data; 1462 1463 PetscFunctionBegin; 1464 ierr = MatDestroy(&b->A);CHKERRQ(ierr); 1465 ierr = VecScatterDestroy(&b->cctx);CHKERRQ(ierr); 1466 ierr = VecScatterDestroy(&b->rctx);CHKERRQ(ierr); 1467 ierr = VecDestroy(&b->x);CHKERRQ(ierr); 1468 ierr = VecDestroy(&b->y);CHKERRQ(ierr); 1469 ierr = VecDestroy(&b->counter);CHKERRQ(ierr); 1470 ierr = ISDestroy(&b->getsub_ris);CHKERRQ(ierr); 1471 ierr = ISDestroy(&b->getsub_cis);CHKERRQ(ierr); 1472 if (b->sf != b->csf) { 1473 ierr = PetscSFDestroy(&b->csf);CHKERRQ(ierr); 1474 ierr = PetscFree2(b->csf_rootdata,b->csf_leafdata);CHKERRQ(ierr); 1475 } 1476 ierr = PetscSFDestroy(&b->sf);CHKERRQ(ierr); 1477 ierr = PetscFree2(b->sf_rootdata,b->sf_leafdata);CHKERRQ(ierr); 1478 ierr = PetscFree(A->data);CHKERRQ(ierr); 1479 ierr = PetscObjectChangeTypeName((PetscObject)A,0);CHKERRQ(ierr); 1480 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISGetLocalMat_C",NULL);CHKERRQ(ierr); 1481 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetLocalMat_C",NULL);CHKERRQ(ierr); 1482 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISGetMPIXAIJ_C",NULL);CHKERRQ(ierr); 1483 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetPreallocation_C",NULL);CHKERRQ(ierr); 1484 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetUpSF_C",NULL);CHKERRQ(ierr); 1485 PetscFunctionReturn(0); 1486 } 1487 1488 static PetscErrorCode MatMult_IS(Mat A,Vec x,Vec y) 1489 { 1490 PetscErrorCode ierr; 1491 Mat_IS *is = (Mat_IS*)A->data; 1492 PetscScalar zero = 0.0; 1493 1494 PetscFunctionBegin; 1495 /* scatter the global vector x into the local work vector */ 1496 ierr = VecScatterBegin(is->cctx,x,is->x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1497 ierr = VecScatterEnd(is->cctx,x,is->x,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1498 1499 /* multiply the local matrix */ 1500 ierr = MatMult(is->A,is->x,is->y);CHKERRQ(ierr); 1501 1502 /* scatter product back into global memory */ 1503 ierr = VecSet(y,zero);CHKERRQ(ierr); 1504 ierr = VecScatterBegin(is->rctx,is->y,y,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1505 ierr = VecScatterEnd(is->rctx,is->y,y,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1506 PetscFunctionReturn(0); 1507 } 1508 1509 static PetscErrorCode MatMultAdd_IS(Mat A,Vec v1,Vec v2,Vec v3) 1510 { 1511 Vec temp_vec; 1512 PetscErrorCode ierr; 1513 1514 PetscFunctionBegin; /* v3 = v2 + A * v1.*/ 1515 if (v3 != v2) { 1516 ierr = MatMult(A,v1,v3);CHKERRQ(ierr); 1517 ierr = VecAXPY(v3,1.0,v2);CHKERRQ(ierr); 1518 } else { 1519 ierr = VecDuplicate(v2,&temp_vec);CHKERRQ(ierr); 1520 ierr = MatMult(A,v1,temp_vec);CHKERRQ(ierr); 1521 ierr = VecAXPY(temp_vec,1.0,v2);CHKERRQ(ierr); 1522 ierr = VecCopy(temp_vec,v3);CHKERRQ(ierr); 1523 ierr = VecDestroy(&temp_vec);CHKERRQ(ierr); 1524 } 1525 PetscFunctionReturn(0); 1526 } 1527 1528 static PetscErrorCode MatMultTranspose_IS(Mat A,Vec y,Vec x) 1529 { 1530 Mat_IS *is = (Mat_IS*)A->data; 1531 PetscErrorCode ierr; 1532 1533 PetscFunctionBegin; 1534 /* scatter the global vector x into the local work vector */ 1535 ierr = VecScatterBegin(is->rctx,y,is->y,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1536 ierr = VecScatterEnd(is->rctx,y,is->y,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1537 1538 /* multiply the local matrix */ 1539 ierr = MatMultTranspose(is->A,is->y,is->x);CHKERRQ(ierr); 1540 1541 /* scatter product back into global vector */ 1542 ierr = VecSet(x,0);CHKERRQ(ierr); 1543 ierr = VecScatterBegin(is->cctx,is->x,x,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1544 ierr = VecScatterEnd(is->cctx,is->x,x,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1545 PetscFunctionReturn(0); 1546 } 1547 1548 static PetscErrorCode MatMultTransposeAdd_IS(Mat A,Vec v1,Vec v2,Vec v3) 1549 { 1550 Vec temp_vec; 1551 PetscErrorCode ierr; 1552 1553 PetscFunctionBegin; /* v3 = v2 + A' * v1.*/ 1554 if (v3 != v2) { 1555 ierr = MatMultTranspose(A,v1,v3);CHKERRQ(ierr); 1556 ierr = VecAXPY(v3,1.0,v2);CHKERRQ(ierr); 1557 } else { 1558 ierr = VecDuplicate(v2,&temp_vec);CHKERRQ(ierr); 1559 ierr = MatMultTranspose(A,v1,temp_vec);CHKERRQ(ierr); 1560 ierr = VecAXPY(temp_vec,1.0,v2);CHKERRQ(ierr); 1561 ierr = VecCopy(temp_vec,v3);CHKERRQ(ierr); 1562 ierr = VecDestroy(&temp_vec);CHKERRQ(ierr); 1563 } 1564 PetscFunctionReturn(0); 1565 } 1566 1567 static PetscErrorCode MatView_IS(Mat A,PetscViewer viewer) 1568 { 1569 Mat_IS *a = (Mat_IS*)A->data; 1570 PetscErrorCode ierr; 1571 PetscViewer sviewer; 1572 PetscBool isascii,view = PETSC_TRUE; 1573 1574 PetscFunctionBegin; 1575 ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&isascii);CHKERRQ(ierr); 1576 if (isascii) { 1577 PetscViewerFormat format; 1578 1579 ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); 1580 if (format == PETSC_VIEWER_ASCII_INFO) view = PETSC_FALSE; 1581 } 1582 if (!view) PetscFunctionReturn(0); 1583 ierr = PetscViewerGetSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr); 1584 ierr = MatView(a->A,sviewer);CHKERRQ(ierr); 1585 ierr = PetscViewerRestoreSubViewer(viewer,PETSC_COMM_SELF,&sviewer);CHKERRQ(ierr); 1586 ierr = PetscViewerFlush(viewer);CHKERRQ(ierr); 1587 PetscFunctionReturn(0); 1588 } 1589 1590 static PetscErrorCode MatSetLocalToGlobalMapping_IS(Mat A,ISLocalToGlobalMapping rmapping,ISLocalToGlobalMapping cmapping) 1591 { 1592 PetscErrorCode ierr; 1593 PetscInt nr,rbs,nc,cbs; 1594 Mat_IS *is = (Mat_IS*)A->data; 1595 IS from,to; 1596 Vec cglobal,rglobal; 1597 1598 PetscFunctionBegin; 1599 PetscCheckSameComm(A,1,rmapping,2); 1600 PetscCheckSameComm(A,1,cmapping,3); 1601 /* Destroy any previous data */ 1602 ierr = VecDestroy(&is->x);CHKERRQ(ierr); 1603 ierr = VecDestroy(&is->y);CHKERRQ(ierr); 1604 ierr = VecDestroy(&is->counter);CHKERRQ(ierr); 1605 ierr = VecScatterDestroy(&is->rctx);CHKERRQ(ierr); 1606 ierr = VecScatterDestroy(&is->cctx);CHKERRQ(ierr); 1607 ierr = MatDestroy(&is->A);CHKERRQ(ierr); 1608 ierr = PetscSFDestroy(&is->sf);CHKERRQ(ierr); 1609 ierr = PetscFree2(is->sf_rootdata,is->sf_leafdata);CHKERRQ(ierr); 1610 1611 /* Setup Layout and set local to global maps */ 1612 ierr = PetscLayoutSetUp(A->rmap);CHKERRQ(ierr); 1613 ierr = PetscLayoutSetUp(A->cmap);CHKERRQ(ierr); 1614 ierr = PetscLayoutSetISLocalToGlobalMapping(A->rmap,rmapping);CHKERRQ(ierr); 1615 ierr = PetscLayoutSetISLocalToGlobalMapping(A->cmap,cmapping);CHKERRQ(ierr); 1616 1617 /* Create the local matrix A */ 1618 ierr = ISLocalToGlobalMappingGetSize(rmapping,&nr);CHKERRQ(ierr); 1619 ierr = ISLocalToGlobalMappingGetBlockSize(rmapping,&rbs);CHKERRQ(ierr); 1620 ierr = ISLocalToGlobalMappingGetSize(cmapping,&nc);CHKERRQ(ierr); 1621 ierr = ISLocalToGlobalMappingGetBlockSize(cmapping,&cbs);CHKERRQ(ierr); 1622 ierr = MatCreate(PETSC_COMM_SELF,&is->A);CHKERRQ(ierr); 1623 ierr = MatSetType(is->A,MATAIJ);CHKERRQ(ierr); 1624 ierr = MatSetSizes(is->A,nr,nc,nr,nc);CHKERRQ(ierr); 1625 ierr = MatSetBlockSizes(is->A,rbs,cbs);CHKERRQ(ierr); 1626 ierr = MatSetOptionsPrefix(is->A,((PetscObject)A)->prefix);CHKERRQ(ierr); 1627 ierr = MatAppendOptionsPrefix(is->A,"is_");CHKERRQ(ierr); 1628 ierr = MatSetFromOptions(is->A);CHKERRQ(ierr); 1629 1630 if (!is->islocalref) { /* setup scatters and local vectors for MatMult */ 1631 /* Create the local work vectors */ 1632 ierr = MatCreateVecs(is->A,&is->x,&is->y);CHKERRQ(ierr); 1633 1634 /* setup the global to local scatters */ 1635 ierr = MatCreateVecs(A,&cglobal,&rglobal);CHKERRQ(ierr); 1636 ierr = ISCreateStride(PETSC_COMM_SELF,nr,0,1,&to);CHKERRQ(ierr); 1637 ierr = ISLocalToGlobalMappingApplyIS(rmapping,to,&from);CHKERRQ(ierr); 1638 ierr = VecScatterCreate(rglobal,from,is->y,to,&is->rctx);CHKERRQ(ierr); 1639 if (rmapping != cmapping) { 1640 ierr = ISDestroy(&to);CHKERRQ(ierr); 1641 ierr = ISDestroy(&from);CHKERRQ(ierr); 1642 ierr = ISCreateStride(PETSC_COMM_SELF,nc,0,1,&to);CHKERRQ(ierr); 1643 ierr = ISLocalToGlobalMappingApplyIS(cmapping,to,&from);CHKERRQ(ierr); 1644 ierr = VecScatterCreate(cglobal,from,is->x,to,&is->cctx);CHKERRQ(ierr); 1645 } else { 1646 ierr = PetscObjectReference((PetscObject)is->rctx);CHKERRQ(ierr); 1647 is->cctx = is->rctx; 1648 } 1649 1650 /* interface counter vector (local) */ 1651 ierr = VecDuplicate(is->y,&is->counter);CHKERRQ(ierr); 1652 ierr = VecSet(is->y,1.);CHKERRQ(ierr); 1653 ierr = VecScatterBegin(is->rctx,is->y,rglobal,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1654 ierr = VecScatterEnd(is->rctx,is->y,rglobal,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1655 ierr = VecScatterBegin(is->rctx,rglobal,is->counter,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1656 ierr = VecScatterEnd(is->rctx,rglobal,is->counter,INSERT_VALUES,SCATTER_FORWARD);CHKERRQ(ierr); 1657 1658 /* free workspace */ 1659 ierr = VecDestroy(&rglobal);CHKERRQ(ierr); 1660 ierr = VecDestroy(&cglobal);CHKERRQ(ierr); 1661 ierr = ISDestroy(&to);CHKERRQ(ierr); 1662 ierr = ISDestroy(&from);CHKERRQ(ierr); 1663 } 1664 ierr = MatSetUp(A);CHKERRQ(ierr); 1665 PetscFunctionReturn(0); 1666 } 1667 1668 static PetscErrorCode MatSetValues_IS(Mat mat, PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols, const PetscScalar *values, InsertMode addv) 1669 { 1670 Mat_IS *is = (Mat_IS*)mat->data; 1671 PetscErrorCode ierr; 1672 #if defined(PETSC_USE_DEBUG) 1673 PetscInt i,zm,zn; 1674 #endif 1675 PetscInt rows_l[MATIS_MAX_ENTRIES_INSERTION],cols_l[MATIS_MAX_ENTRIES_INSERTION]; 1676 1677 PetscFunctionBegin; 1678 #if defined(PETSC_USE_DEBUG) 1679 if (m > MATIS_MAX_ENTRIES_INSERTION || n > MATIS_MAX_ENTRIES_INSERTION) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of row/column indices must be <= %D: they are %D %D",MATIS_MAX_ENTRIES_INSERTION,m,n); 1680 /* count negative indices */ 1681 for (i=0,zm=0;i<m;i++) if (rows[i] < 0) zm++; 1682 for (i=0,zn=0;i<n;i++) if (cols[i] < 0) zn++; 1683 #endif 1684 ierr = ISGlobalToLocalMappingApply(mat->rmap->mapping,IS_GTOLM_MASK,m,rows,&m,rows_l);CHKERRQ(ierr); 1685 ierr = ISGlobalToLocalMappingApply(mat->cmap->mapping,IS_GTOLM_MASK,n,cols,&n,cols_l);CHKERRQ(ierr); 1686 #if defined(PETSC_USE_DEBUG) 1687 /* count negative indices (should be the same as before) */ 1688 for (i=0;i<m;i++) if (rows_l[i] < 0) zm--; 1689 for (i=0;i<n;i++) if (cols_l[i] < 0) zn--; 1690 if (zm) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Some of the row indices can not be mapped! Maybe you should not use MATIS"); 1691 if (zn) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Some of the column indices can not be mapped! Maybe you should not use MATIS"); 1692 #endif 1693 ierr = MatSetValues(is->A,m,rows_l,n,cols_l,values,addv);CHKERRQ(ierr); 1694 PetscFunctionReturn(0); 1695 } 1696 1697 static PetscErrorCode MatSetValuesBlocked_IS(Mat mat, PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols, const PetscScalar *values, InsertMode addv) 1698 { 1699 Mat_IS *is = (Mat_IS*)mat->data; 1700 PetscErrorCode ierr; 1701 #if defined(PETSC_USE_DEBUG) 1702 PetscInt i,zm,zn; 1703 #endif 1704 PetscInt rows_l[MATIS_MAX_ENTRIES_INSERTION],cols_l[MATIS_MAX_ENTRIES_INSERTION]; 1705 1706 PetscFunctionBegin; 1707 #if defined(PETSC_USE_DEBUG) 1708 if (m > MATIS_MAX_ENTRIES_INSERTION || n > MATIS_MAX_ENTRIES_INSERTION) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_SUP,"Number of row/column block indices must be <= %D: they are %D %D",MATIS_MAX_ENTRIES_INSERTION,m,n); 1709 /* count negative indices */ 1710 for (i=0,zm=0;i<m;i++) if (rows[i] < 0) zm++; 1711 for (i=0,zn=0;i<n;i++) if (cols[i] < 0) zn++; 1712 #endif 1713 ierr = ISGlobalToLocalMappingApplyBlock(mat->rmap->mapping,IS_GTOLM_MASK,m,rows,&m,rows_l);CHKERRQ(ierr); 1714 ierr = ISGlobalToLocalMappingApplyBlock(mat->cmap->mapping,IS_GTOLM_MASK,n,cols,&n,cols_l);CHKERRQ(ierr); 1715 #if defined(PETSC_USE_DEBUG) 1716 /* count negative indices (should be the same as before) */ 1717 for (i=0;i<m;i++) if (rows_l[i] < 0) zm--; 1718 for (i=0;i<n;i++) if (cols_l[i] < 0) zn--; 1719 if (zm) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Some of the row indices can not be mapped! Maybe you should not use MATIS"); 1720 if (zn) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_SUP,"Some of the column indices can not be mapped! Maybe you should not use MATIS"); 1721 #endif 1722 ierr = MatSetValuesBlocked(is->A,m,rows_l,n,cols_l,values,addv);CHKERRQ(ierr); 1723 PetscFunctionReturn(0); 1724 } 1725 1726 static PetscErrorCode MatSetValuesLocal_IS(Mat A,PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols,const PetscScalar *values,InsertMode addv) 1727 { 1728 PetscErrorCode ierr; 1729 Mat_IS *is = (Mat_IS*)A->data; 1730 1731 PetscFunctionBegin; 1732 ierr = MatSetValues(is->A,m,rows,n,cols,values,addv);CHKERRQ(ierr); 1733 PetscFunctionReturn(0); 1734 } 1735 1736 static PetscErrorCode MatSetValuesBlockedLocal_IS(Mat A,PetscInt m,const PetscInt *rows, PetscInt n,const PetscInt *cols,const PetscScalar *values,InsertMode addv) 1737 { 1738 PetscErrorCode ierr; 1739 Mat_IS *is = (Mat_IS*)A->data; 1740 1741 PetscFunctionBegin; 1742 ierr = MatSetValuesBlocked(is->A,m,rows,n,cols,values,addv);CHKERRQ(ierr); 1743 PetscFunctionReturn(0); 1744 } 1745 1746 static PetscErrorCode MatISZeroRowsColumnsLocal_Private(Mat A,PetscInt n,const PetscInt rows[],PetscScalar diag,PetscBool columns) 1747 { 1748 Mat_IS *is = (Mat_IS*)A->data; 1749 PetscErrorCode ierr; 1750 1751 PetscFunctionBegin; 1752 if (!n) { 1753 is->pure_neumann = PETSC_TRUE; 1754 } else { 1755 PetscInt i; 1756 is->pure_neumann = PETSC_FALSE; 1757 1758 if (columns) { 1759 ierr = MatZeroRowsColumns(is->A,n,rows,diag,0,0);CHKERRQ(ierr); 1760 } else { 1761 ierr = MatZeroRows(is->A,n,rows,diag,0,0);CHKERRQ(ierr); 1762 } 1763 if (diag != 0.) { 1764 const PetscScalar *array; 1765 ierr = VecGetArrayRead(is->counter,&array);CHKERRQ(ierr); 1766 for (i=0; i<n; i++) { 1767 ierr = MatSetValue(is->A,rows[i],rows[i],diag/(array[rows[i]]),INSERT_VALUES);CHKERRQ(ierr); 1768 } 1769 ierr = VecRestoreArrayRead(is->counter,&array);CHKERRQ(ierr); 1770 } 1771 ierr = MatAssemblyBegin(is->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1772 ierr = MatAssemblyEnd(is->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 1773 } 1774 PetscFunctionReturn(0); 1775 } 1776 1777 static PetscErrorCode MatZeroRowsColumns_Private_IS(Mat A,PetscInt n,const PetscInt rows[],PetscScalar diag,Vec x,Vec b,PetscBool columns) 1778 { 1779 Mat_IS *matis = (Mat_IS*)A->data; 1780 PetscInt nr,nl,len,i; 1781 PetscInt *lrows; 1782 PetscErrorCode ierr; 1783 1784 PetscFunctionBegin; 1785 #if defined(PETSC_USE_DEBUG) 1786 if (columns || diag != 0. || (x && b)) { 1787 PetscBool cong; 1788 ierr = PetscLayoutCompare(A->rmap,A->cmap,&cong);CHKERRQ(ierr); 1789 if (!cong && columns) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_SUP,"Columns can be zeroed if and only if A->rmap and A->cmap are congruent for MATIS"); 1790 if (!cong && diag != 0.) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_SUP,"Nonzero diagonal value supported if and only if A->rmap and A->cmap are congruent for MATIS"); 1791 if (!cong && x && b) SETERRQ(PetscObjectComm((PetscObject)A),PETSC_ERR_SUP,"A->rmap and A->cmap need to be congruent"); 1792 } 1793 #endif 1794 /* get locally owned rows */ 1795 ierr = PetscLayoutMapLocal_Private(A->rmap,n,rows,&len,&lrows,NULL);CHKERRQ(ierr); 1796 /* fix right hand side if needed */ 1797 if (x && b) { 1798 const PetscScalar *xx; 1799 PetscScalar *bb; 1800 1801 ierr = VecGetArrayRead(x, &xx);CHKERRQ(ierr); 1802 ierr = VecGetArray(b, &bb);CHKERRQ(ierr); 1803 for (i=0;i<len;++i) bb[lrows[i]] = diag*xx[lrows[i]]; 1804 ierr = VecRestoreArrayRead(x, &xx);CHKERRQ(ierr); 1805 ierr = VecRestoreArray(b, &bb);CHKERRQ(ierr); 1806 } 1807 /* get rows associated to the local matrices */ 1808 ierr = MatISSetUpSF(A);CHKERRQ(ierr); 1809 ierr = MatGetSize(matis->A,&nl,NULL);CHKERRQ(ierr); 1810 ierr = PetscMemzero(matis->sf_leafdata,nl*sizeof(PetscInt));CHKERRQ(ierr); 1811 ierr = PetscMemzero(matis->sf_rootdata,A->rmap->n*sizeof(PetscInt));CHKERRQ(ierr); 1812 for (i=0;i<len;i++) matis->sf_rootdata[lrows[i]] = 1; 1813 ierr = PetscFree(lrows);CHKERRQ(ierr); 1814 ierr = PetscSFBcastBegin(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 1815 ierr = PetscSFBcastEnd(matis->sf,MPIU_INT,matis->sf_rootdata,matis->sf_leafdata);CHKERRQ(ierr); 1816 ierr = PetscMalloc1(nl,&lrows);CHKERRQ(ierr); 1817 for (i=0,nr=0;i<nl;i++) if (matis->sf_leafdata[i]) lrows[nr++] = i; 1818 ierr = MatISZeroRowsColumnsLocal_Private(A,nr,lrows,diag,columns);CHKERRQ(ierr); 1819 ierr = PetscFree(lrows);CHKERRQ(ierr); 1820 PetscFunctionReturn(0); 1821 } 1822 1823 static PetscErrorCode MatZeroRows_IS(Mat A,PetscInt n,const PetscInt rows[],PetscScalar diag,Vec x,Vec b) 1824 { 1825 PetscErrorCode ierr; 1826 1827 PetscFunctionBegin; 1828 ierr = MatZeroRowsColumns_Private_IS(A,n,rows,diag,x,b,PETSC_FALSE);CHKERRQ(ierr); 1829 PetscFunctionReturn(0); 1830 } 1831 1832 static PetscErrorCode MatZeroRowsColumns_IS(Mat A,PetscInt n,const PetscInt rows[],PetscScalar diag,Vec x,Vec b) 1833 { 1834 PetscErrorCode ierr; 1835 1836 PetscFunctionBegin; 1837 ierr = MatZeroRowsColumns_Private_IS(A,n,rows,diag,x,b,PETSC_TRUE);CHKERRQ(ierr); 1838 PetscFunctionReturn(0); 1839 } 1840 1841 static PetscErrorCode MatAssemblyBegin_IS(Mat A,MatAssemblyType type) 1842 { 1843 Mat_IS *is = (Mat_IS*)A->data; 1844 PetscErrorCode ierr; 1845 1846 PetscFunctionBegin; 1847 ierr = MatAssemblyBegin(is->A,type);CHKERRQ(ierr); 1848 PetscFunctionReturn(0); 1849 } 1850 1851 static PetscErrorCode MatAssemblyEnd_IS(Mat A,MatAssemblyType type) 1852 { 1853 Mat_IS *is = (Mat_IS*)A->data; 1854 PetscErrorCode ierr; 1855 1856 PetscFunctionBegin; 1857 ierr = MatAssemblyEnd(is->A,type);CHKERRQ(ierr); 1858 PetscFunctionReturn(0); 1859 } 1860 1861 static PetscErrorCode MatISGetLocalMat_IS(Mat mat,Mat *local) 1862 { 1863 Mat_IS *is = (Mat_IS*)mat->data; 1864 1865 PetscFunctionBegin; 1866 *local = is->A; 1867 PetscFunctionReturn(0); 1868 } 1869 1870 /*@ 1871 MatISGetLocalMat - Gets the local matrix stored inside a MATIS matrix. 1872 1873 Input Parameter: 1874 . mat - the matrix 1875 1876 Output Parameter: 1877 . local - the local matrix 1878 1879 Level: advanced 1880 1881 Notes: 1882 This can be called if you have precomputed the nonzero structure of the 1883 matrix and want to provide it to the inner matrix object to improve the performance 1884 of the MatSetValues() operation. 1885 1886 .seealso: MATIS 1887 @*/ 1888 PetscErrorCode MatISGetLocalMat(Mat mat,Mat *local) 1889 { 1890 PetscErrorCode ierr; 1891 1892 PetscFunctionBegin; 1893 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 1894 PetscValidPointer(local,2); 1895 ierr = PetscUseMethod(mat,"MatISGetLocalMat_C",(Mat,Mat*),(mat,local));CHKERRQ(ierr); 1896 PetscFunctionReturn(0); 1897 } 1898 1899 static PetscErrorCode MatISSetLocalMat_IS(Mat mat,Mat local) 1900 { 1901 Mat_IS *is = (Mat_IS*)mat->data; 1902 PetscInt nrows,ncols,orows,ocols; 1903 PetscErrorCode ierr; 1904 1905 PetscFunctionBegin; 1906 if (is->A) { 1907 ierr = MatGetSize(is->A,&orows,&ocols);CHKERRQ(ierr); 1908 ierr = MatGetSize(local,&nrows,&ncols);CHKERRQ(ierr); 1909 if (orows != nrows || ocols != ncols) SETERRQ4(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"Local MATIS matrix should be of size %Dx%D (you passed a %Dx%D matrix)",orows,ocols,nrows,ncols); 1910 } 1911 ierr = PetscObjectReference((PetscObject)local);CHKERRQ(ierr); 1912 ierr = MatDestroy(&is->A);CHKERRQ(ierr); 1913 is->A = local; 1914 PetscFunctionReturn(0); 1915 } 1916 1917 /*@ 1918 MatISSetLocalMat - Replace the local matrix stored inside a MATIS object. 1919 1920 Input Parameter: 1921 . mat - the matrix 1922 . local - the local matrix 1923 1924 Output Parameter: 1925 1926 Level: advanced 1927 1928 Notes: 1929 This can be called if you have precomputed the local matrix and 1930 want to provide it to the matrix object MATIS. 1931 1932 .seealso: MATIS 1933 @*/ 1934 PetscErrorCode MatISSetLocalMat(Mat mat,Mat local) 1935 { 1936 PetscErrorCode ierr; 1937 1938 PetscFunctionBegin; 1939 PetscValidHeaderSpecific(mat,MAT_CLASSID,1); 1940 PetscValidHeaderSpecific(local,MAT_CLASSID,2); 1941 ierr = PetscUseMethod(mat,"MatISSetLocalMat_C",(Mat,Mat),(mat,local));CHKERRQ(ierr); 1942 PetscFunctionReturn(0); 1943 } 1944 1945 static PetscErrorCode MatZeroEntries_IS(Mat A) 1946 { 1947 Mat_IS *a = (Mat_IS*)A->data; 1948 PetscErrorCode ierr; 1949 1950 PetscFunctionBegin; 1951 ierr = MatZeroEntries(a->A);CHKERRQ(ierr); 1952 PetscFunctionReturn(0); 1953 } 1954 1955 static PetscErrorCode MatScale_IS(Mat A,PetscScalar a) 1956 { 1957 Mat_IS *is = (Mat_IS*)A->data; 1958 PetscErrorCode ierr; 1959 1960 PetscFunctionBegin; 1961 ierr = MatScale(is->A,a);CHKERRQ(ierr); 1962 PetscFunctionReturn(0); 1963 } 1964 1965 static PetscErrorCode MatGetDiagonal_IS(Mat A, Vec v) 1966 { 1967 Mat_IS *is = (Mat_IS*)A->data; 1968 PetscErrorCode ierr; 1969 1970 PetscFunctionBegin; 1971 /* get diagonal of the local matrix */ 1972 ierr = MatGetDiagonal(is->A,is->y);CHKERRQ(ierr); 1973 1974 /* scatter diagonal back into global vector */ 1975 ierr = VecSet(v,0);CHKERRQ(ierr); 1976 ierr = VecScatterBegin(is->rctx,is->y,v,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1977 ierr = VecScatterEnd(is->rctx,is->y,v,ADD_VALUES,SCATTER_REVERSE);CHKERRQ(ierr); 1978 PetscFunctionReturn(0); 1979 } 1980 1981 static PetscErrorCode MatSetOption_IS(Mat A,MatOption op,PetscBool flg) 1982 { 1983 Mat_IS *a = (Mat_IS*)A->data; 1984 PetscErrorCode ierr; 1985 1986 PetscFunctionBegin; 1987 ierr = MatSetOption(a->A,op,flg);CHKERRQ(ierr); 1988 PetscFunctionReturn(0); 1989 } 1990 1991 static PetscErrorCode MatAXPY_IS(Mat Y,PetscScalar a,Mat X,MatStructure str) 1992 { 1993 Mat_IS *y = (Mat_IS*)Y->data; 1994 Mat_IS *x; 1995 #if defined(PETSC_USE_DEBUG) 1996 PetscBool ismatis; 1997 #endif 1998 PetscErrorCode ierr; 1999 2000 PetscFunctionBegin; 2001 #if defined(PETSC_USE_DEBUG) 2002 ierr = PetscObjectTypeCompare((PetscObject)X,MATIS,&ismatis);CHKERRQ(ierr); 2003 if (!ismatis) SETERRQ(PetscObjectComm((PetscObject)Y),PETSC_ERR_SUP,"Cannot call MatAXPY(Y,a,X,str) with X not of type MATIS"); 2004 #endif 2005 x = (Mat_IS*)X->data; 2006 ierr = MatAXPY(y->A,a,x->A,str);CHKERRQ(ierr); 2007 PetscFunctionReturn(0); 2008 } 2009 2010 static PetscErrorCode MatGetLocalSubMatrix_IS(Mat A,IS row,IS col,Mat *submat) 2011 { 2012 Mat lA; 2013 Mat_IS *matis; 2014 ISLocalToGlobalMapping rl2g,cl2g; 2015 IS is; 2016 const PetscInt *rg,*rl; 2017 PetscInt nrg; 2018 PetscInt N,M,nrl,i,*idxs; 2019 PetscErrorCode ierr; 2020 2021 PetscFunctionBegin; 2022 ierr = ISLocalToGlobalMappingGetIndices(A->rmap->mapping,&rg);CHKERRQ(ierr); 2023 ierr = ISGetLocalSize(row,&nrl);CHKERRQ(ierr); 2024 ierr = ISGetIndices(row,&rl);CHKERRQ(ierr); 2025 ierr = ISLocalToGlobalMappingGetSize(A->rmap->mapping,&nrg);CHKERRQ(ierr); 2026 #if defined(PETSC_USE_DEBUG) 2027 for (i=0;i<nrl;i++) if (rl[i]>=nrg) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Local row index %D -> %D greater than maximum possible %D",i,rl[i],nrg); 2028 #endif 2029 ierr = PetscMalloc1(nrg,&idxs);CHKERRQ(ierr); 2030 /* map from [0,nrl) to row */ 2031 for (i=0;i<nrl;i++) idxs[i] = rl[i]; 2032 #if defined(PETSC_USE_DEBUG) 2033 for (i=nrl;i<nrg;i++) idxs[i] = nrg; 2034 #else 2035 for (i=nrl;i<nrg;i++) idxs[i] = -1; 2036 #endif 2037 ierr = ISRestoreIndices(row,&rl);CHKERRQ(ierr); 2038 ierr = ISLocalToGlobalMappingRestoreIndices(A->rmap->mapping,&rg);CHKERRQ(ierr); 2039 ierr = ISCreateGeneral(PetscObjectComm((PetscObject)A),nrg,idxs,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 2040 ierr = ISLocalToGlobalMappingCreateIS(is,&rl2g);CHKERRQ(ierr); 2041 ierr = ISDestroy(&is);CHKERRQ(ierr); 2042 /* compute new l2g map for columns */ 2043 if (col != row || A->rmap->mapping != A->cmap->mapping) { 2044 const PetscInt *cg,*cl; 2045 PetscInt ncg; 2046 PetscInt ncl; 2047 2048 ierr = ISLocalToGlobalMappingGetIndices(A->cmap->mapping,&cg);CHKERRQ(ierr); 2049 ierr = ISGetLocalSize(col,&ncl);CHKERRQ(ierr); 2050 ierr = ISGetIndices(col,&cl);CHKERRQ(ierr); 2051 ierr = ISLocalToGlobalMappingGetSize(A->cmap->mapping,&ncg);CHKERRQ(ierr); 2052 #if defined(PETSC_USE_DEBUG) 2053 for (i=0;i<ncl;i++) if (cl[i]>=ncg) SETERRQ3(PETSC_COMM_SELF,PETSC_ERR_ARG_WRONG,"Local column index %D -> %D greater than maximum possible %D",i,cl[i],ncg); 2054 #endif 2055 ierr = PetscMalloc1(ncg,&idxs);CHKERRQ(ierr); 2056 /* map from [0,ncl) to col */ 2057 for (i=0;i<ncl;i++) idxs[i] = cl[i]; 2058 #if defined(PETSC_USE_DEBUG) 2059 for (i=ncl;i<ncg;i++) idxs[i] = ncg; 2060 #else 2061 for (i=ncl;i<ncg;i++) idxs[i] = -1; 2062 #endif 2063 ierr = ISRestoreIndices(col,&cl);CHKERRQ(ierr); 2064 ierr = ISLocalToGlobalMappingRestoreIndices(A->cmap->mapping,&cg);CHKERRQ(ierr); 2065 ierr = ISCreateGeneral(PetscObjectComm((PetscObject)A),ncg,idxs,PETSC_OWN_POINTER,&is);CHKERRQ(ierr); 2066 ierr = ISLocalToGlobalMappingCreateIS(is,&cl2g);CHKERRQ(ierr); 2067 ierr = ISDestroy(&is);CHKERRQ(ierr); 2068 } else { 2069 ierr = PetscObjectReference((PetscObject)rl2g);CHKERRQ(ierr); 2070 cl2g = rl2g; 2071 } 2072 /* create the MATIS submatrix */ 2073 ierr = MatGetSize(A,&M,&N);CHKERRQ(ierr); 2074 ierr = MatCreate(PetscObjectComm((PetscObject)A),submat);CHKERRQ(ierr); 2075 ierr = MatSetSizes(*submat,PETSC_DECIDE,PETSC_DECIDE,M,N);CHKERRQ(ierr); 2076 ierr = MatSetType(*submat,MATIS);CHKERRQ(ierr); 2077 matis = (Mat_IS*)((*submat)->data); 2078 matis->islocalref = PETSC_TRUE; 2079 ierr = MatSetLocalToGlobalMapping(*submat,rl2g,cl2g);CHKERRQ(ierr); 2080 ierr = MatISGetLocalMat(A,&lA);CHKERRQ(ierr); 2081 ierr = MatISSetLocalMat(*submat,lA);CHKERRQ(ierr); 2082 ierr = MatSetUp(*submat);CHKERRQ(ierr); 2083 ierr = MatAssemblyBegin(*submat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2084 ierr = MatAssemblyEnd(*submat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); 2085 ierr = ISLocalToGlobalMappingDestroy(&rl2g);CHKERRQ(ierr); 2086 ierr = ISLocalToGlobalMappingDestroy(&cl2g);CHKERRQ(ierr); 2087 /* remove unsupported ops */ 2088 ierr = PetscMemzero((*submat)->ops,sizeof(struct _MatOps));CHKERRQ(ierr); 2089 (*submat)->ops->destroy = MatDestroy_IS; 2090 (*submat)->ops->setvalueslocal = MatSetValuesLocal_SubMat_IS; 2091 (*submat)->ops->setvaluesblockedlocal = MatSetValuesBlockedLocal_SubMat_IS; 2092 (*submat)->ops->assemblybegin = MatAssemblyBegin_IS; 2093 (*submat)->ops->assemblyend = MatAssemblyEnd_IS; 2094 PetscFunctionReturn(0); 2095 } 2096 2097 /*@ 2098 MatCreateIS - Creates a "process" unassembled matrix, assembled on each 2099 process but not across processes. 2100 2101 Input Parameters: 2102 + comm - MPI communicator that will share the matrix 2103 . bs - block size of the matrix 2104 . m,n,M,N - local and/or global sizes of the left and right vector used in matrix vector products 2105 . rmap - local to global map for rows 2106 - cmap - local to global map for cols 2107 2108 Output Parameter: 2109 . A - the resulting matrix 2110 2111 Level: advanced 2112 2113 Notes: See MATIS for more details. 2114 m and n are NOT related to the size of the map; they represent the size of the local parts of the vectors 2115 used in MatMult operations. The sizes of rmap and cmap define the size of the local matrices. 2116 If either rmap or cmap are NULL, then the matrix is assumed to be square. 2117 2118 .seealso: MATIS, MatSetLocalToGlobalMapping() 2119 @*/ 2120 PetscErrorCode MatCreateIS(MPI_Comm comm,PetscInt bs,PetscInt m,PetscInt n,PetscInt M,PetscInt N,ISLocalToGlobalMapping rmap,ISLocalToGlobalMapping cmap,Mat *A) 2121 { 2122 PetscErrorCode ierr; 2123 2124 PetscFunctionBegin; 2125 if (!rmap && !cmap) SETERRQ(comm,PETSC_ERR_USER,"You need to provide at least one of the mappings"); 2126 ierr = MatCreate(comm,A);CHKERRQ(ierr); 2127 ierr = MatSetSizes(*A,m,n,M,N);CHKERRQ(ierr); 2128 if (bs > 0) { 2129 ierr = MatSetBlockSize(*A,bs);CHKERRQ(ierr); 2130 } 2131 ierr = MatSetType(*A,MATIS);CHKERRQ(ierr); 2132 if (rmap && cmap) { 2133 ierr = MatSetLocalToGlobalMapping(*A,rmap,cmap);CHKERRQ(ierr); 2134 } else if (!rmap) { 2135 ierr = MatSetLocalToGlobalMapping(*A,cmap,cmap);CHKERRQ(ierr); 2136 } else { 2137 ierr = MatSetLocalToGlobalMapping(*A,rmap,rmap);CHKERRQ(ierr); 2138 } 2139 PetscFunctionReturn(0); 2140 } 2141 2142 /*MC 2143 MATIS - MATIS = "is" - A matrix type to be used for using the non-overlapping domain decomposition methods (e.g. PCBDDC or KSPFETIDP). 2144 This stores the matrices in globally unassembled form. Each processor 2145 assembles only its local Neumann problem and the parallel matrix vector 2146 product is handled "implicitly". 2147 2148 Operations Provided: 2149 + MatMult() 2150 . MatMultAdd() 2151 . MatMultTranspose() 2152 . MatMultTransposeAdd() 2153 . MatZeroEntries() 2154 . MatSetOption() 2155 . MatZeroRows() 2156 . MatSetValues() 2157 . MatSetValuesBlocked() 2158 . MatSetValuesLocal() 2159 . MatSetValuesBlockedLocal() 2160 . MatScale() 2161 . MatGetDiagonal() 2162 . MatMissingDiagonal() 2163 . MatDuplicate() 2164 . MatCopy() 2165 . MatAXPY() 2166 . MatCreateSubMatrix() 2167 . MatGetLocalSubMatrix() 2168 . MatTranspose() 2169 - MatSetLocalToGlobalMapping() 2170 2171 Options Database Keys: 2172 . -mat_type is - sets the matrix type to "is" during a call to MatSetFromOptions() 2173 2174 Notes: Options prefix for the inner matrix are given by -is_mat_xxx 2175 2176 You must call MatSetLocalToGlobalMapping() before using this matrix type. 2177 2178 You can do matrix preallocation on the local matrix after you obtain it with 2179 MatISGetLocalMat(); otherwise, you could use MatISSetPreallocation() 2180 2181 Level: advanced 2182 2183 .seealso: Mat, MatISGetLocalMat(), MatSetLocalToGlobalMapping(), MatISSetPreallocation(), MatCreateIS(), PCBDDC, KSPFETIDP 2184 2185 M*/ 2186 2187 PETSC_EXTERN PetscErrorCode MatCreate_IS(Mat A) 2188 { 2189 PetscErrorCode ierr; 2190 Mat_IS *b; 2191 2192 PetscFunctionBegin; 2193 ierr = PetscNewLog(A,&b);CHKERRQ(ierr); 2194 A->data = (void*)b; 2195 2196 /* matrix ops */ 2197 ierr = PetscMemzero(A->ops,sizeof(struct _MatOps));CHKERRQ(ierr); 2198 A->ops->mult = MatMult_IS; 2199 A->ops->multadd = MatMultAdd_IS; 2200 A->ops->multtranspose = MatMultTranspose_IS; 2201 A->ops->multtransposeadd = MatMultTransposeAdd_IS; 2202 A->ops->destroy = MatDestroy_IS; 2203 A->ops->setlocaltoglobalmapping = MatSetLocalToGlobalMapping_IS; 2204 A->ops->setvalues = MatSetValues_IS; 2205 A->ops->setvaluesblocked = MatSetValuesBlocked_IS; 2206 A->ops->setvalueslocal = MatSetValuesLocal_IS; 2207 A->ops->setvaluesblockedlocal = MatSetValuesBlockedLocal_IS; 2208 A->ops->zerorows = MatZeroRows_IS; 2209 A->ops->zerorowscolumns = MatZeroRowsColumns_IS; 2210 A->ops->assemblybegin = MatAssemblyBegin_IS; 2211 A->ops->assemblyend = MatAssemblyEnd_IS; 2212 A->ops->view = MatView_IS; 2213 A->ops->zeroentries = MatZeroEntries_IS; 2214 A->ops->scale = MatScale_IS; 2215 A->ops->getdiagonal = MatGetDiagonal_IS; 2216 A->ops->setoption = MatSetOption_IS; 2217 A->ops->ishermitian = MatIsHermitian_IS; 2218 A->ops->issymmetric = MatIsSymmetric_IS; 2219 A->ops->isstructurallysymmetric = MatIsStructurallySymmetric_IS; 2220 A->ops->duplicate = MatDuplicate_IS; 2221 A->ops->missingdiagonal = MatMissingDiagonal_IS; 2222 A->ops->copy = MatCopy_IS; 2223 A->ops->getlocalsubmatrix = MatGetLocalSubMatrix_IS; 2224 A->ops->createsubmatrix = MatCreateSubMatrix_IS; 2225 A->ops->axpy = MatAXPY_IS; 2226 A->ops->diagonalset = MatDiagonalSet_IS; 2227 A->ops->shift = MatShift_IS; 2228 A->ops->transpose = MatTranspose_IS; 2229 A->ops->getinfo = MatGetInfo_IS; 2230 A->ops->diagonalscale = MatDiagonalScale_IS; 2231 2232 /* special MATIS functions */ 2233 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISGetLocalMat_C",MatISGetLocalMat_IS);CHKERRQ(ierr); 2234 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetLocalMat_C",MatISSetLocalMat_IS);CHKERRQ(ierr); 2235 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISGetMPIXAIJ_C",MatISGetMPIXAIJ_IS);CHKERRQ(ierr); 2236 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetPreallocation_C",MatISSetPreallocation_IS);CHKERRQ(ierr); 2237 ierr = PetscObjectComposeFunction((PetscObject)A,"MatISSetUpSF_C",MatISSetUpSF_IS);CHKERRQ(ierr); 2238 ierr = PetscObjectChangeTypeName((PetscObject)A,MATIS);CHKERRQ(ierr); 2239 PetscFunctionReturn(0); 2240 } 2241