/*$Id: is.c,v 1.15 2001/08/06 21:15:46 bsmith Exp $*/ /* Creates a matrix class for using the Neumann-Neumann type preconditioners. This stores the matrices in globally unassembled form. Each processor assembles only its local Neumann problem and the parallel matrix vector product is handled "implicitly". We provide: MatMult() Currently this allows for only one subdomain per processor. */ #include "src/mat/impls/is/matis.h" /*I "petscmat.h" I*/ #undef __FUNCT__ #define __FUNCT__ "MatDestroy_IS" int MatDestroy_IS(Mat A) { int ierr; Mat_IS *b = (Mat_IS*)A->data; PetscFunctionBegin; if (b->A) { ierr = MatDestroy(b->A);CHKERRQ(ierr); } if (b->ctx) { ierr = VecScatterDestroy(b->ctx);CHKERRQ(ierr); } if (b->x) { ierr = VecDestroy(b->x);CHKERRQ(ierr); } if (b->y) { ierr = VecDestroy(b->y);CHKERRQ(ierr); } if (b->mapping) { ierr = ISLocalToGlobalMappingDestroy(b->mapping);CHKERRQ(ierr); } ierr = PetscFree(b);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatMult_IS" int MatMult_IS(Mat A,Vec x,Vec y) { int ierr; Mat_IS *is = (Mat_IS*)A->data; PetscScalar zero = 0.0; PetscFunctionBegin; /* scatter the global vector x into the local work vector */ ierr = VecScatterBegin(x,is->x,INSERT_VALUES,SCATTER_FORWARD,is->ctx);CHKERRQ(ierr); ierr = VecScatterEnd(x,is->x,INSERT_VALUES,SCATTER_FORWARD,is->ctx);CHKERRQ(ierr); /* multiply the local matrix */ ierr = MatMult(is->A,is->x,is->y);CHKERRQ(ierr); /* scatter product back into global memory */ ierr = VecSet(&zero,y);CHKERRQ(ierr); ierr = VecScatterBegin(is->y,y,ADD_VALUES,SCATTER_REVERSE,is->ctx);CHKERRQ(ierr); ierr = VecScatterEnd(is->y,y,ADD_VALUES,SCATTER_REVERSE,is->ctx);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatView_IS" int MatView_IS(Mat A,PetscViewer viewer) { Mat_IS *a = (Mat_IS*)A->data; int ierr; PetscViewer sviewer; PetscFunctionBegin; ierr = PetscViewerGetSingleton(viewer,&sviewer);CHKERRQ(ierr); ierr = MatView(a->A,sviewer);CHKERRQ(ierr); ierr = PetscViewerRestoreSingleton(viewer,&sviewer);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSetLocalToGlobalMapping_IS" int MatSetLocalToGlobalMapping_IS(Mat A,ISLocalToGlobalMapping mapping) { int ierr,n; Mat_IS *is = (Mat_IS*)A->data; IS from,to; Vec global; PetscFunctionBegin; is->mapping = mapping; ierr = PetscObjectReference((PetscObject)mapping);CHKERRQ(ierr); /* Create the local matrix A */ ierr = ISLocalToGlobalMappingGetSize(mapping,&n);CHKERRQ(ierr); ierr = MatCreate(PETSC_COMM_SELF,n,n,n,n,&is->A);CHKERRQ(ierr); ierr = PetscObjectSetOptionsPrefix((PetscObject)is->A,"is");CHKERRQ(ierr); ierr = MatSetFromOptions(is->A);CHKERRQ(ierr); /* Create the local work vectors */ ierr = VecCreateSeq(PETSC_COMM_SELF,n,&is->x);CHKERRQ(ierr); ierr = VecDuplicate(is->x,&is->y);CHKERRQ(ierr); /* setup the global to local scatter */ ierr = ISCreateStride(PETSC_COMM_SELF,n,0,1,&to);CHKERRQ(ierr); ierr = ISLocalToGlobalMappingApplyIS(mapping,to,&from);CHKERRQ(ierr); ierr = VecCreateMPI(A->comm,A->n,A->N,&global);CHKERRQ(ierr); ierr = VecScatterCreate(global,from,is->x,to,&is->ctx);CHKERRQ(ierr); ierr = VecDestroy(global);CHKERRQ(ierr); ierr = ISDestroy(to);CHKERRQ(ierr); ierr = ISDestroy(from);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatSetValuesLocal_IS" int MatSetValuesLocal_IS(Mat A,int m,const int *rows, int n,const int *cols,const PetscScalar *values,InsertMode addv) { int ierr; Mat_IS *is = (Mat_IS*)A->data; PetscFunctionBegin; ierr = MatSetValues(is->A,m,rows,n,cols,values,addv);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatZeroRowsLocal_IS" int MatZeroRowsLocal_IS(Mat A,IS isrows,const PetscScalar *diag) { Mat_IS *is = (Mat_IS*)A->data; int ierr,i,n,*rows; PetscScalar *array; PetscFunctionBegin; { /* Set up is->x as a "counting vector". This is in order to MatMult_IS work properly in the interface nodes. */ Vec counter; PetscScalar one=1.0, zero=0.0; ierr = VecCreateMPI(A->comm,A->n,A->N,&counter);CHKERRQ(ierr); ierr = VecSet(&zero,counter);CHKERRQ(ierr); ierr = VecSet(&one,is->x);CHKERRQ(ierr); ierr = VecScatterBegin(is->x,counter,ADD_VALUES,SCATTER_REVERSE,is->ctx);CHKERRQ(ierr); ierr = VecScatterEnd (is->x,counter,ADD_VALUES,SCATTER_REVERSE,is->ctx);CHKERRQ(ierr); ierr = VecScatterBegin(counter,is->x,INSERT_VALUES,SCATTER_FORWARD,is->ctx);CHKERRQ(ierr); ierr = VecScatterEnd (counter,is->x,INSERT_VALUES,SCATTER_FORWARD,is->ctx);CHKERRQ(ierr); ierr = VecDestroy(counter);CHKERRQ(ierr); } ierr = ISGetLocalSize(isrows,&n);CHKERRQ(ierr); if (n == 0) { is->pure_neumann = PETSC_TRUE; } else { is->pure_neumann = PETSC_FALSE; ierr = ISGetIndices(isrows,&rows);CHKERRQ(ierr); ierr = VecGetArray(is->x,&array);CHKERRQ(ierr); ierr = MatZeroRows(is->A,isrows,diag);CHKERRQ(ierr); for (i=0; iA,rows[i],rows[i],(*diag)/(array[rows[i]]),INSERT_VALUES);CHKERRQ(ierr); } ierr = MatAssemblyBegin(is->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd (is->A,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = VecRestoreArray(is->x,&array);CHKERRQ(ierr); ierr = ISRestoreIndices(isrows,&rows);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatAssemblyBegin_IS" int MatAssemblyBegin_IS(Mat A,MatAssemblyType type) { Mat_IS *is = (Mat_IS*)A->data; int ierr; PetscFunctionBegin; ierr = MatAssemblyBegin(is->A,type);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "MatAssemblyEnd_IS" int MatAssemblyEnd_IS(Mat A,MatAssemblyType type) { Mat_IS *is = (Mat_IS*)A->data; int ierr; PetscFunctionBegin; ierr = MatAssemblyEnd(is->A,type);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "MatISGetLocalMat_IS" int MatISGetLocalMat_IS(Mat mat,Mat *local) { Mat_IS *is = (Mat_IS *)mat->data; PetscFunctionBegin; *local = is->A; PetscFunctionReturn(0); } EXTERN_C_END #undef __FUNCT__ #define __FUNCT__ "MatISGetLocalMat" /*@ MatISGetLocalMat - Gets the local matrix stored inside a MATIS matrix. Input Parameter: . mat - the matrix Output Parameter: . local - the local matrix usually MATSEQAIJ Level: advanced Notes: This can be called if you have precomputed the nonzero structure of the matrix and want to provide it to the inner matrix object to improve the performance of the MatSetValues() operation. .seealso: MATIS @*/ int MatISGetLocalMat(Mat mat,Mat *local) { int ierr,(*f)(Mat,Mat *); PetscFunctionBegin; PetscValidHeaderSpecific(mat,MAT_COOKIE,1); PetscValidPointer(local,2); ierr = PetscObjectQueryFunction((PetscObject)mat,"MatISGetLocalMat_C",(void (**)(void))&f);CHKERRQ(ierr); if (f) { ierr = (*f)(mat,local);CHKERRQ(ierr); } else { local = 0; } PetscFunctionReturn(0); } /*MC MATIS - MATIS = "is" - A matrix type to be used for using the Neumann-Neumann type preconditioners. This stores the matrices in globally unassembled form. Each processor assembles only its local Neumann problem and the parallel matrix vector product is handled "implicitly". Operations Provided: . MatMult Options Database Keys: . -mat_type is - sets the matrix type to "is" during a call to MatSetFromOptions() Notes: Options prefix for the inner matrix are given by -is_mat_xxx You must call MatSetLocalToGlobalMapping() before using this matrix type. You can do matrix preallocation on the local matrix after you obtain it with MatISGetLocalMat() Level: advanced .seealso: PC, MatISGetLocalMat(), MatSetLocalToGlobalMapping() M*/ EXTERN_C_BEGIN #undef __FUNCT__ #define __FUNCT__ "MatCreate_IS" int MatCreate_IS(Mat A) { int ierr; Mat_IS *b; PetscFunctionBegin; ierr = PetscNew(Mat_IS,&b);CHKERRQ(ierr); A->data = (void*)b; ierr = PetscMemzero(b,sizeof(Mat_IS));CHKERRQ(ierr); ierr = PetscMemzero(A->ops,sizeof(struct _MatOps));CHKERRQ(ierr); A->factor = 0; A->mapping = 0; A->ops->mult = MatMult_IS; A->ops->destroy = MatDestroy_IS; A->ops->setlocaltoglobalmapping = MatSetLocalToGlobalMapping_IS; A->ops->setvalueslocal = MatSetValuesLocal_IS; A->ops->zerorowslocal = MatZeroRowsLocal_IS; A->ops->assemblybegin = MatAssemblyBegin_IS; A->ops->assemblyend = MatAssemblyEnd_IS; A->ops->view = MatView_IS; ierr = PetscSplitOwnership(A->comm,&A->m,&A->M);CHKERRQ(ierr); ierr = PetscSplitOwnership(A->comm,&A->n,&A->N);CHKERRQ(ierr); ierr = MPI_Scan(&A->m,&b->rend,1,MPI_INT,MPI_SUM,A->comm);CHKERRQ(ierr); b->rstart = b->rend - A->m; b->A = 0; b->ctx = 0; b->x = 0; b->y = 0; ierr = PetscObjectComposeFunctionDynamic((PetscObject)A,"MatISGetLocalMat_C","MatISGetLocalMat_IS",MatISGetLocalMat_IS);CHKERRQ(ierr); PetscFunctionReturn(0); } EXTERN_C_END