1 2 #include <../src/mat/impls/aij/seq/aij.h> 3 #include <../src/mat/impls/baij/seq/baij.h> 4 5 /* 6 This routine is shared by SeqAIJ and SeqBAIJ matrices, 7 since it operators only on the nonzero structure of the elements or blocks. 8 */ 9 #undef __FUNCT__ 10 #define __FUNCT__ "MatFDColoringCreate_SeqXAIJ" 11 PetscErrorCode MatFDColoringCreate_SeqXAIJ(Mat mat,ISColoring iscoloring,MatFDColoring c) 12 { 13 PetscErrorCode ierr; 14 PetscInt i,n,nrows,N,j,k,m,ncols,col,nis=iscoloring->n,*rowhit,bs,bs2,*spidx,nz; 15 const PetscInt *is,*row,*ci,*cj; 16 IS *isa; 17 PetscBool isBAIJ; 18 PetscScalar *A_val,**valaddrhit; 19 MatEntry *Jentry; 20 21 PetscFunctionBegin; 22 ierr = ISColoringGetIS(iscoloring,PETSC_IGNORE,&isa);CHKERRQ(ierr); 23 24 /* this is ugly way to get blocksize but cannot call MatGetBlockSize() because AIJ can have bs > 1 */ 25 ierr = MatGetBlockSize(mat,&bs);CHKERRQ(ierr); 26 ierr = PetscObjectTypeCompare((PetscObject)mat,MATSEQBAIJ,&isBAIJ);CHKERRQ(ierr); 27 if (isBAIJ) { 28 Mat_SeqBAIJ *spA = (Mat_SeqBAIJ*)mat->data; 29 A_val = spA->a; 30 nz = spA->nz; 31 } else { 32 Mat_SeqAIJ *spA = (Mat_SeqAIJ*)mat->data; 33 A_val = spA->a; 34 nz = spA->nz; 35 bs = 1; /* only bs=1 is supported for SeqAIJ matrix */ 36 } 37 38 N = mat->cmap->N/bs; 39 c->M = mat->rmap->N/bs; /* set total rows, columns and local rows */ 40 c->N = mat->cmap->N/bs; 41 c->m = mat->rmap->N/bs; 42 c->rstart = 0; 43 44 c->ncolors = nis; 45 ierr = PetscMalloc(nis*sizeof(PetscInt),&c->ncolumns);CHKERRQ(ierr); 46 ierr = PetscMalloc(nis*sizeof(PetscInt*),&c->columns);CHKERRQ(ierr); 47 ierr = PetscMalloc(nis*sizeof(PetscInt),&c->nrows);CHKERRQ(ierr); 48 ierr = PetscLogObjectMemory((PetscObject)c,3*nis*sizeof(PetscInt));CHKERRQ(ierr); 49 50 ierr = PetscMalloc(nz*sizeof(MatEntry),&Jentry);CHKERRQ(ierr); 51 ierr = PetscLogObjectMemory((PetscObject)c,nz*sizeof(MatEntry));CHKERRQ(ierr); 52 c->matentry = Jentry; 53 54 if (isBAIJ) { 55 ierr = MatGetColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 56 } else { 57 ierr = MatGetColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 58 } 59 60 ierr = PetscMalloc2(c->m,PetscInt,&rowhit,c->m,PetscScalar*,&valaddrhit);CHKERRQ(ierr); 61 ierr = PetscMemzero(rowhit,c->m*sizeof(PetscInt));CHKERRQ(ierr); 62 63 nz = 0; 64 for (i=0; i<nis; i++) { /* loop over colors */ 65 ierr = ISGetLocalSize(isa[i],&n);CHKERRQ(ierr); 66 ierr = ISGetIndices(isa[i],&is);CHKERRQ(ierr); 67 68 c->ncolumns[i] = n; 69 if (n) { 70 ierr = PetscMalloc(n*sizeof(PetscInt),&c->columns[i]);CHKERRQ(ierr); 71 ierr = PetscLogObjectMemory((PetscObject)c,n*sizeof(PetscInt));CHKERRQ(ierr); 72 ierr = PetscMemcpy(c->columns[i],is,n*sizeof(PetscInt));CHKERRQ(ierr); 73 } else { 74 c->columns[i] = 0; 75 } 76 77 /* fast, crude version requires O(N*N) work */ 78 bs2 = bs*bs; 79 nrows = 0; 80 for (j=0; j<n; j++) { /* loop over columns */ 81 col = is[j]; 82 row = cj + ci[col]; 83 m = ci[col+1] - ci[col]; 84 nrows += m; 85 for (k=0; k<m; k++) { /* loop over columns marking them in rowhit */ 86 rowhit[*row] = col + 1; 87 valaddrhit[*row++] = &A_val[bs2*spidx[ci[col] + k]]; 88 } 89 } 90 c->nrows[i] = nrows; /* total num of rows for this color */ 91 92 for (j=0; j<N; j++) { /* loop over rows */ 93 if (rowhit[j]) { 94 Jentry[nz].row = j; /* local row index */ 95 Jentry[nz].col = rowhit[j] - 1; /* local column index */ 96 Jentry[nz].valaddr = valaddrhit[j]; /* address of mat value for this entry */ 97 nz++; 98 rowhit[j] = 0.0; /* zero rowhit for reuse */ 99 } 100 } 101 ierr = ISRestoreIndices(isa[i],&is);CHKERRQ(ierr); 102 } 103 104 if (isBAIJ) { 105 ierr = MatRestoreColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 106 ierr = PetscMalloc(bs*mat->rmap->n*sizeof(PetscScalar),&c->dy);CHKERRQ(ierr); 107 } else { 108 ierr = MatRestoreColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 109 } 110 ierr = PetscFree2(rowhit,valaddrhit);CHKERRQ(ierr); 111 ierr = ISColoringRestoreIS(iscoloring,&isa);CHKERRQ(ierr); 112 113 c->ctype = IS_COLORING_GHOSTED; 114 ierr = VecCreateGhost(PetscObjectComm((PetscObject)mat),mat->rmap->n,PETSC_DETERMINE,0,NULL,&c->vscale);CHKERRQ(ierr); 115 PetscFunctionReturn(0); 116 } 117