#include <../src/mat/impls/aij/seq/aij.h> #include <../src/mat/impls/baij/seq/baij.h> #include <../src/mat/impls/sell/seq/sell.h> #include /* This routine is shared by SeqAIJ and SeqBAIJ matrices, since it operators only on the nonzero structure of the elements or blocks. */ PetscErrorCode MatFDColoringCreate_SeqXAIJ(Mat mat,ISColoring iscoloring,MatFDColoring c) { PetscInt bs,nis=iscoloring->n,m=mat->rmap->n; PetscBool isBAIJ,isSELL; PetscFunctionBegin; /* set default brows and bcols for speedup inserting the dense matrix into sparse Jacobian */ PetscCall(MatGetBlockSize(mat,&bs)); PetscCall(PetscObjectBaseTypeCompare((PetscObject)mat,MATSEQBAIJ,&isBAIJ)); PetscCall(PetscObjectTypeCompare((PetscObject)mat,MATSEQSELL,&isSELL)); if (isBAIJ) { c->brows = m; c->bcols = 1; } else { /* seqaij matrix */ /* bcols is chosen s.t. dy-array takes 50% of memory space as mat */ PetscReal mem; PetscInt nz,brows,bcols; if (isSELL) { Mat_SeqSELL *spA = (Mat_SeqSELL*)mat->data; nz = spA->nz; } else { Mat_SeqAIJ *spA = (Mat_SeqAIJ*)mat->data; nz = spA->nz; } bs = 1; /* only bs=1 is supported for SeqAIJ matrix */ mem = nz*(sizeof(PetscScalar) + sizeof(PetscInt)) + 3*m*sizeof(PetscInt); bcols = (PetscInt)(0.5*mem /(m*sizeof(PetscScalar))); brows = 1000/bcols; if (bcols > nis) bcols = nis; if (brows == 0 || brows > m) brows = m; c->brows = brows; c->bcols = bcols; } c->M = mat->rmap->N/bs; /* set total rows, columns and local rows */ c->N = mat->cmap->N/bs; c->m = mat->rmap->N/bs; c->rstart = 0; c->ncolors = nis; c->ctype = iscoloring->ctype; PetscFunctionReturn(0); } /* Reorder Jentry such that blocked brows*bols of entries from dense matrix are inserted into Jacobian for improved cache performance Input Parameters: + mat - the matrix containing the nonzero structure of the Jacobian . color - the coloring context - nz - number of local non-zeros in mat */ PetscErrorCode MatFDColoringSetUpBlocked_AIJ_Private(Mat mat,MatFDColoring c,PetscInt nz) { PetscInt i,j,nrows,nbcols,brows=c->brows,bcols=c->bcols,mbs=c->m,nis=c->ncolors; PetscInt *color_start,*row_start,*nrows_new,nz_new,row_end; PetscFunctionBegin; if (brows < 1 || brows > mbs) brows = mbs; PetscCall(PetscMalloc2(bcols+1,&color_start,bcols,&row_start)); PetscCall(PetscCalloc1(nis,&nrows_new)); PetscCall(PetscMalloc1(bcols*mat->rmap->n,&c->dy)); PetscCall(PetscLogObjectMemory((PetscObject)c,bcols*mat->rmap->n*sizeof(PetscScalar))); nz_new = 0; nbcols = 0; color_start[bcols] = 0; if (c->htype[0] == 'd') { /* ---- c->htype == 'ds', use MatEntry --------*/ MatEntry *Jentry_new,*Jentry=c->matentry; PetscCall(PetscMalloc1(nz,&Jentry_new)); for (i=0; i nis) { color_start[nis - i] = color_start[bcols]; bcols = nis - i; } color_start[0] = color_start[bcols]; for (j=0; jnrows[i+j] + color_start[j]; row_start[j] = 0; } row_end = brows; if (row_end > mbs) row_end = mbs; while (row_end <= mbs) { /* loop over block rows */ for (j=0; jnrows[i+j]; nz = color_start[j]; while (row_start[j] < nrows) { if (Jentry[nz].row >= row_end) { color_start[j] = nz; break; } else { /* copy Jentry[nz] to Jentry_new[nz_new] */ Jentry_new[nz_new].row = Jentry[nz].row + j*mbs; /* index in dy-array */ Jentry_new[nz_new].col = Jentry[nz].col; Jentry_new[nz_new].valaddr = Jentry[nz].valaddr; nz_new++; nz++; row_start[j]++; } } } if (row_end == mbs) break; row_end += brows; if (row_end > mbs) row_end = mbs; } nrows_new[nbcols++] = nz_new; } PetscCall(PetscFree(Jentry)); c->matentry = Jentry_new; } else { /* --------- c->htype == 'wp', use MatEntry2 ------------------*/ MatEntry2 *Jentry2_new,*Jentry2=c->matentry2; PetscCall(PetscMalloc1(nz,&Jentry2_new)); for (i=0; i nis) { color_start[nis - i] = color_start[bcols]; bcols = nis - i; } color_start[0] = color_start[bcols]; for (j=0; jnrows[i+j] + color_start[j]; row_start[j] = 0; } row_end = brows; if (row_end > mbs) row_end = mbs; while (row_end <= mbs) { /* loop over block rows */ for (j=0; jnrows[i+j]; nz = color_start[j]; while (row_start[j] < nrows) { if (Jentry2[nz].row >= row_end) { color_start[j] = nz; break; } else { /* copy Jentry2[nz] to Jentry2_new[nz_new] */ Jentry2_new[nz_new].row = Jentry2[nz].row + j*mbs; /* index in dy-array */ Jentry2_new[nz_new].valaddr = Jentry2[nz].valaddr; nz_new++; nz++; row_start[j]++; } } } if (row_end == mbs) break; row_end += brows; if (row_end > mbs) row_end = mbs; } nrows_new[nbcols++] = nz_new; } PetscCall(PetscFree(Jentry2)); c->matentry2 = Jentry2_new; } /* ---------------------------------------------*/ PetscCall(PetscFree2(color_start,row_start)); for (i=nbcols-1; i>0; i--) nrows_new[i] -= nrows_new[i-1]; PetscCall(PetscFree(c->nrows)); c->nrows = nrows_new; PetscFunctionReturn(0); } PetscErrorCode MatFDColoringSetUp_SeqXAIJ(Mat mat,ISColoring iscoloring,MatFDColoring c) { PetscInt i,n,nrows,mbs=c->m,j,k,m,ncols,col,nis=iscoloring->n,*rowhit,bs,bs2,*spidx,nz,tmp; const PetscInt *is,*row,*ci,*cj; PetscBool isBAIJ,isSELL; const PetscScalar *A_val; PetscScalar **valaddrhit; MatEntry *Jentry; MatEntry2 *Jentry2; PetscFunctionBegin; PetscCall(ISColoringGetIS(iscoloring,PETSC_OWN_POINTER,PETSC_IGNORE,&c->isa)); PetscCall(MatGetBlockSize(mat,&bs)); PetscCall(PetscObjectBaseTypeCompare((PetscObject)mat,MATSEQBAIJ,&isBAIJ)); PetscCall(PetscObjectTypeCompare((PetscObject)mat,MATSEQSELL,&isSELL)); if (isBAIJ) { Mat_SeqBAIJ *spA = (Mat_SeqBAIJ*)mat->data; A_val = spA->a; nz = spA->nz; } else if (isSELL) { Mat_SeqSELL *spA = (Mat_SeqSELL*)mat->data; A_val = spA->val; nz = spA->nz; bs = 1; /* only bs=1 is supported for SeqSELL matrix */ } else { Mat_SeqAIJ *spA = (Mat_SeqAIJ*)mat->data; A_val = spA->a; nz = spA->nz; bs = 1; /* only bs=1 is supported for SeqAIJ matrix */ } PetscCall(PetscMalloc2(nis,&c->ncolumns,nis,&c->columns)); PetscCall(PetscMalloc1(nis,&c->nrows)); /* nrows is freeed separately from ncolumns and columns */ PetscCall(PetscLogObjectMemory((PetscObject)c,3*nis*sizeof(PetscInt))); if (c->htype[0] == 'd') { PetscCall(PetscMalloc1(nz,&Jentry)); PetscCall(PetscLogObjectMemory((PetscObject)c,nz*sizeof(MatEntry))); c->matentry = Jentry; } else if (c->htype[0] == 'w') { PetscCall(PetscMalloc1(nz,&Jentry2)); PetscCall(PetscLogObjectMemory((PetscObject)c,nz*sizeof(MatEntry2))); c->matentry2 = Jentry2; } else SETERRQ(PetscObjectComm((PetscObject)mat),PETSC_ERR_SUP,"htype is not supported"); if (isBAIJ) { PetscCall(MatGetColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); } else if (isSELL) { PetscCall(MatGetColumnIJ_SeqSELL_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); } else { PetscCall(MatGetColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); } PetscCall(PetscCalloc1(c->m,&rowhit)); PetscCall(PetscMalloc1(c->m,&valaddrhit)); nz = 0; for (i=0; iisa[i],&n)); PetscCall(ISGetIndices(c->isa[i],&is)); c->ncolumns[i] = n; c->columns[i] = (PetscInt*)is; /* note: we know that c->isa is going to be around as long at the c->columns values */ PetscCall(ISRestoreIndices(c->isa[i],&is)); /* fast, crude version requires O(N*N) work */ bs2 = bs*bs; nrows = 0; for (j=0; jnrows[i] = nrows; /* total num of rows for this color */ if (c->htype[0] == 'd') { for (j=0; jhtype == 'wp' */ for (j=0; jbcols > 1) { /* reorder Jentry for faster MatFDColoringApply() */ PetscCall(MatFDColoringSetUpBlocked_AIJ_Private(mat,c,nz)); } if (isBAIJ) { PetscCall(MatRestoreColumnIJ_SeqBAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); PetscCall(PetscMalloc1(bs*mat->rmap->n,&c->dy)); PetscCall(PetscLogObjectMemory((PetscObject)c,bs*mat->rmap->n*sizeof(PetscScalar))); } else if (isSELL) { PetscCall(MatRestoreColumnIJ_SeqSELL_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); } else { PetscCall(MatRestoreColumnIJ_SeqAIJ_Color(mat,0,PETSC_FALSE,PETSC_FALSE,&ncols,&ci,&cj,&spidx,NULL)); } PetscCall(PetscFree(rowhit)); PetscCall(PetscFree(valaddrhit)); PetscCall(ISColoringRestoreIS(iscoloring,PETSC_OWN_POINTER,&c->isa)); PetscCall(VecCreateGhost(PetscObjectComm((PetscObject)mat),mat->rmap->n,PETSC_DETERMINE,0,NULL,&c->vscale)); PetscCall(PetscInfo(c,"ncolors %" PetscInt_FMT ", brows %" PetscInt_FMT " and bcols %" PetscInt_FMT " are used.\n",c->ncolors,c->brows,c->bcols)); PetscFunctionReturn(0); }