#ifdef PETSC_RCS_HEADER static char vcid[] = "$Id: mmaij.c,v 1.41 1999/01/31 16:06:31 bsmith Exp balay $"; #endif /* Support for the parallel AIJ matrix vector multiply */ #include "src/mat/impls/aij/mpi/mpiaij.h" #include "src/vec/vecimpl.h" #undef __FUNC__ #define __FUNC__ "MatSetUpMultiply_MPIAIJ" int MatSetUpMultiply_MPIAIJ(Mat mat) { Mat_MPIAIJ *aij = (Mat_MPIAIJ *) mat->data; Mat_SeqAIJ *B = (Mat_SeqAIJ *) (aij->B->data); int N = aij->N,i,j,*indices,*aj = B->j,ierr,ec = 0,*garray; int shift = B->indexshift; IS from,to; Vec gvec; #if defined (USE_CTABLE) Table gid1_lid1; CTablePos tpos; int gid, lid; #endif PetscFunctionBegin; #if defined (USE_TABLE) /* use a table - Mark Adams (this has not been tested with "shift") */ TableCreate(B->m,&gid1_lid1); for ( i=0; im; i++ ) { for ( j=0; jilen[i]; j++ ) { int data,gid1 = aj[B->i[i] + shift + j] + 1; ierr = TableFind(gid1_lid1,gid1,&data); CHKERRQ(ierr); if (!data) { /* one based table */ ierr = TableAdd(gid1_lid1,gid1,++ec); CHKERRQ(ierr); } } } /* form array of columns we need */ garray = (int *)PetscMalloc((ec+1)*sizeof(int)); CHKPTRQ(garray); ierr = TableGetHeadPosition(gid1_lid1,&tpos); CHKERRQ(ierr); while (tpos) { ierr = TableGetNext(gid1_lid1,&tpos,&gid,&lid); CHKERRQ(ierr); gid--; lid--; garray[lid] = gid; } ierr = PetscSortInt(ec,garray); CHKERRQ(ierr); /* sort, and rebuild */ /* qsort( garray, ec, sizeof(int), intcomparc ); */ TableRemoveAll(gid1_lid1); for ( i=0; im; i++ ) { for ( j=0; jilen[i]; j++ ) { int gid1 = aj[B->i[i] + shift + j] + 1; ierr = TableFind(gid1_lid1,gid1,&lid); CHKERRQ(ierr); lid --; aj[B->i[i] + shift + j] = lid; } } B->n = aij->B->n = aij->B->N = ec; TableDelete(gid1_lid1); /* Mark Adams */ #else /* For the first stab we make an array as long as the number of columns */ /* mark those columns that are in aij->B */ indices = (int *) PetscMalloc( (N+1)*sizeof(int) ); CHKPTRQ(indices); PetscMemzero(indices,N*sizeof(int)); for ( i=0; im; i++ ) { for ( j=0; jilen[i]; j++ ) { if (!indices[aj[B->i[i] +shift + j] + shift]) ec++; indices[aj[B->i[i] + shift + j] + shift] = 1; } } /* form array of columns we need */ garray = (int *) PetscMalloc( (ec+1)*sizeof(int) ); CHKPTRQ(garray); ec = 0; for ( i=0; im; i++ ) { for ( j=0; jilen[i]; j++ ) { aj[B->i[i] + shift + j] = indices[aj[B->i[i] + shift + j]+shift]; } } B->n = aij->B->n = aij->B->N = ec; PetscFree(indices); #endif /* create local vector that is used to scatter into */ ierr = VecCreateSeq(PETSC_COMM_SELF,ec,&aij->lvec); CHKERRQ(ierr); /* create two temporary Index sets for build scatter gather */ ierr = ISCreateGeneral(PETSC_COMM_SELF,ec,garray,&from); CHKERRQ(ierr); ierr = ISCreateStride(PETSC_COMM_SELF,ec,0,1,&to); CHKERRQ(ierr); /* create temporary global vector to generate scatter context */ /* this is inefficient, but otherwise we must do either 1) save garray until the first actual scatter when the vector is known or 2) have another way of generating a scatter context without a vector.*/ ierr = VecCreateMPI(mat->comm,aij->n,aij->N,&gvec); CHKERRQ(ierr); /* generate the scatter context */ ierr = VecScatterCreate(gvec,from,aij->lvec,to,&aij->Mvctx); CHKERRQ(ierr); PLogObjectParent(mat,aij->Mvctx); PLogObjectParent(mat,aij->lvec); PLogObjectParent(mat,from); PLogObjectParent(mat,to); aij->garray = garray; PLogObjectMemory(mat,(ec+1)*sizeof(int)); ierr = ISDestroy(from); CHKERRQ(ierr); ierr = ISDestroy(to); CHKERRQ(ierr); ierr = VecDestroy(gvec); PetscFunctionReturn(0); } #undef __FUNC__ #define __FUNC__ "DisAssemble_MPIAIJ" /* Takes the local part of an already assembled MPIAIJ matrix and disassembles it. This is to allow new nonzeros into the matrix that require more communication in the matrix vector multiply. Thus certain data-structures must be rebuilt. Kind of slow! But that's what application programmers get when they are sloppy. */ int DisAssemble_MPIAIJ(Mat A) { Mat_MPIAIJ *aij = (Mat_MPIAIJ *) A->data; Mat B = aij->B,Bnew; Mat_SeqAIJ *Baij = (Mat_SeqAIJ*)B->data; int ierr,i,j,m = Baij->m,n = aij->N,col,ct = 0,*garray = aij->garray; int *nz,ec,shift = Baij->indexshift; Scalar v; PetscFunctionBegin; /* free stuff related to matrix-vec multiply */ ierr = VecGetSize(aij->lvec,&ec); /* needed for PLogObjectMemory below */ ierr = VecDestroy(aij->lvec); CHKERRQ(ierr); aij->lvec = 0; ierr = VecScatterDestroy(aij->Mvctx); CHKERRQ(ierr); aij->Mvctx = 0; if (aij->colmap) { #if defined (USE_CTABLE) TableDelete(aij->colmap); aij->colmap = 0; #else PetscFree(aij->colmap); aij->colmap = 0; PLogObjectMemory(A,-Baij->n*sizeof(int)); #endif } /* make sure that B is assembled so we can access its values */ ierr = MatAssemblyBegin(B,MAT_FINAL_ASSEMBLY); CHKERRQ(ierr); ierr = MatAssemblyEnd(B,MAT_FINAL_ASSEMBLY); CHKERRQ(ierr); /* invent new B and copy stuff over */ nz = (int *) PetscMalloc( (m+1)*sizeof(int) ); CHKPTRQ(nz); for ( i=0; ii[i+1] - Baij->i[i]; } ierr = MatCreateSeqAIJ(PETSC_COMM_SELF,m,n,0,nz,&Bnew); CHKERRQ(ierr); PetscFree(nz); for ( i=0; ii[i]+shift; ji[i+1]+shift; j++ ) { col = garray[Baij->j[ct]+shift]; v = Baij->a[ct++]; ierr = MatSetValues(Bnew,1,&i,1,&col,&v,B->insertmode); CHKERRQ(ierr); } } PetscFree(aij->garray); aij->garray = 0; PLogObjectMemory(A,-ec*sizeof(int)); ierr = MatDestroy(B); CHKERRQ(ierr); PLogObjectParent(A,Bnew); aij->B = Bnew; A->was_assembled = PETSC_FALSE; PetscFunctionReturn(0); }