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,*Jentry_new; 20 PetscInt *color_start,brows=0,bcols=1,nz_new,row_end,*row_start; 21 22 PetscFunctionBegin; 23 ierr = ISColoringGetIS(iscoloring,PETSC_IGNORE,&isa);CHKERRQ(ierr); 24 25 /* this is ugly way to get blocksize but cannot call MatGetBlockSize() because AIJ can have bs > 1 */ 26 ierr = MatGetBlockSize(mat,&bs);CHKERRQ(ierr); 27 ierr = PetscObjectTypeCompare((PetscObject)mat,MATSEQBAIJ,&isBAIJ);CHKERRQ(ierr); 28 if (isBAIJ) { 29 Mat_SeqBAIJ *spA = (Mat_SeqBAIJ*)mat->data; 30 A_val = spA->a; 31 nz = spA->nz; 32 } else { 33 Mat_SeqAIJ *spA = (Mat_SeqAIJ*)mat->data; 34 A_val = spA->a; 35 nz = spA->nz; 36 bs = 1; /* only bs=1 is supported for SeqAIJ matrix */ 37 } 38 39 N = mat->cmap->N/bs; 40 c->M = mat->rmap->N/bs; /* set total rows, columns and local rows */ 41 c->N = mat->cmap->N/bs; 42 c->m = mat->rmap->N/bs; 43 c->rstart = 0; 44 45 c->ncolors = nis; 46 ierr = PetscMalloc(nis*sizeof(PetscInt),&c->ncolumns);CHKERRQ(ierr); 47 ierr = PetscMalloc(nis*sizeof(PetscInt*),&c->columns);CHKERRQ(ierr); 48 ierr = PetscMalloc(nis*sizeof(PetscInt),&c->nrows);CHKERRQ(ierr); 49 ierr = PetscMalloc(nis*sizeof(PetscInt),&c->nrows_new);CHKERRQ(ierr); 50 ierr = PetscLogObjectMemory((PetscObject)c,3*nis*sizeof(PetscInt));CHKERRQ(ierr); 51 52 ierr = PetscMalloc(nz*sizeof(MatEntry),&Jentry);CHKERRQ(ierr); 53 ierr = PetscLogObjectMemory((PetscObject)c,nz*sizeof(MatEntry));CHKERRQ(ierr); 54 c->matentry = Jentry; 55 56 ierr = PetscMalloc2(nis+1,PetscInt,&color_start,nis+1,PetscInt,&row_start);CHKERRQ(ierr); 57 ierr = PetscMalloc(nz*sizeof(MatEntry),&Jentry_new);CHKERRQ(ierr); 58 c->matentry_new = Jentry_new; 59 for (i=0; i<nis; i++) row_start[i] = 0; 60 c->brows = brows; 61 c->bcols = bcols; 62 63 if (isBAIJ) { 64 ierr = MatGetColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 65 } else { 66 ierr = MatGetColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 67 } 68 69 ierr = PetscMalloc2(c->m,PetscInt,&rowhit,c->m,PetscScalar*,&valaddrhit);CHKERRQ(ierr); 70 ierr = PetscMemzero(rowhit,c->m*sizeof(PetscInt));CHKERRQ(ierr); 71 72 nz = 0; 73 for (i=0; i<nis; i++) { /* loop over colors */ 74 color_start[i] = nz; 75 76 ierr = ISGetLocalSize(isa[i],&n);CHKERRQ(ierr); 77 ierr = ISGetIndices(isa[i],&is);CHKERRQ(ierr); 78 79 c->ncolumns[i] = n; 80 if (n) { 81 ierr = PetscMalloc(n*sizeof(PetscInt),&c->columns[i]);CHKERRQ(ierr); 82 ierr = PetscLogObjectMemory((PetscObject)c,n*sizeof(PetscInt));CHKERRQ(ierr); 83 ierr = PetscMemcpy(c->columns[i],is,n*sizeof(PetscInt));CHKERRQ(ierr); 84 } else { 85 c->columns[i] = 0; 86 } 87 88 /* fast, crude version requires O(N*N) work */ 89 bs2 = bs*bs; 90 nrows = 0; 91 for (j=0; j<n; j++) { /* loop over columns */ 92 col = is[j]; 93 row = cj + ci[col]; 94 m = ci[col+1] - ci[col]; 95 nrows += m; 96 for (k=0; k<m; k++) { /* loop over columns marking them in rowhit */ 97 rowhit[*row] = col + 1; 98 valaddrhit[*row++] = &A_val[bs2*spidx[ci[col] + k]]; 99 } 100 } 101 c->nrows[i] = nrows; /* total num of rows for this color */ 102 103 for (j=0; j<N; j++) { /* loop over rows */ 104 if (rowhit[j]) { 105 Jentry[nz].row = j; /* local row index */ 106 Jentry[nz].col = rowhit[j] - 1; /* local column index */ 107 Jentry[nz].valaddr = valaddrhit[j]; /* address of mat value for this entry */ 108 nz++; 109 rowhit[j] = 0.0; /* zero rowhit for reuse */ 110 } 111 } 112 ierr = ISRestoreIndices(isa[i],&is);CHKERRQ(ierr); 113 } 114 color_start[nis] = nz; 115 116 // ---------- reorder Jentry ------------ 117 ierr = PetscOptionsInt("-brows","The number of block rows","",brows,&brows,NULL);CHKERRQ(ierr); 118 if (!isBAIJ && brows) { 119 PetscInt nbcols = 0; 120 ierr = PetscOptionsInt("-bcols","The number of block columns","",bcols,&bcols,NULL);CHKERRQ(ierr); 121 if (bcols > nis) bcols = nis; 122 c->brows = brows; 123 c->bcols = bcols; 124 125 nz_new = 0; 126 for (i=0; i<nis; i+=bcols) { /* loop over colors */ 127 if (i + bcols > nis) bcols = nis - i; 128 printf(" color %d, bcols %d\n",i,bcols); 129 130 row_end = brows; 131 if (row_end > mat->rmap->n) row_end = mat->rmap->n; 132 while (row_end <= mat->rmap->n) { /* loop over block rows */ 133 for (j=0; j<bcols; j++) { /* loop over block columns */ 134 nrows = c->nrows[i+j]; 135 for (nz=color_start[i+j]; nz<color_start[i+j+1]; nz++) { /* for each Jentry */ 136 if (row_start[i+j] >= nrows) break; 137 if (Jentry[nz].row >= row_end) { 138 color_start[i+j] = nz; 139 break; 140 } else { 141 Jentry_new[nz_new].row = Jentry[nz].row; 142 Jentry_new[nz_new].col = j; // j-th column in bcols 143 Jentry_new[nz_new].valaddr = Jentry[nz].valaddr; 144 nz_new++; 145 row_start[i+j]++; 146 } 147 } 148 } 149 if (row_end == mat->rmap->n) break; 150 row_end += brows; 151 if (row_end > mat->rmap->n) row_end = mat->rmap->n; 152 } 153 c->nrows_new[nbcols++] = nz_new; 154 } 155 for (i=nbcols-1; i>0; i--) c->nrows_new[i] -= c->nrows_new[i-1]; 156 157 ierr = PetscMalloc(c->bcols*mat->rmap->n*sizeof(PetscScalar),&c->dy);CHKERRQ(ierr); 158 } 159 //--------------------------------------- 160 161 if (isBAIJ) { 162 ierr = MatRestoreColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 163 ierr = PetscMalloc(bs*mat->rmap->n*sizeof(PetscScalar),&c->dy);CHKERRQ(ierr); 164 } else { 165 ierr = MatRestoreColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL);CHKERRQ(ierr); 166 } 167 ierr = PetscFree2(rowhit,valaddrhit);CHKERRQ(ierr); 168 ierr = ISColoringRestoreIS(iscoloring,&isa);CHKERRQ(ierr); 169 ierr = PetscFree2(color_start,row_start);CHKERRQ(ierr); 170 171 c->ctype = IS_COLORING_GHOSTED; 172 ierr = VecCreateGhost(PetscObjectComm((PetscObject)mat),mat->rmap->n,PETSC_DETERMINE,0,NULL,&c->vscale);CHKERRQ(ierr); 173 PetscFunctionReturn(0); 174 } 175