/* Provides an interface for the MATLAB engine sparse solver */ #include <../src/mat/impls/aij/seq/aij.h> #include #include /* MATLAB include file */ #include /* MATLAB include file */ PETSC_EXTERN mxArray *MatSeqAIJToMatlab(Mat B) { PetscErrorCode ierr; Mat_SeqAIJ *aij = (Mat_SeqAIJ*)B->data; mwIndex *ii,*jj; mxArray *mat; PetscInt i; PetscFunctionBegin; mat = mxCreateSparse(B->cmap->n,B->rmap->n,aij->nz,mxREAL); ierr = PetscArraycpy(mxGetPr(mat),aij->a,aij->nz);if (ierr) return NULL; /* MATLAB stores by column, not row so we pass in the transpose of the matrix */ jj = mxGetIr(mat); for (i=0; inz; i++) jj[i] = aij->j[i]; ii = mxGetJc(mat); for (i=0; irmap->n+1; i++) ii[i] = aij->i[i]; PetscFunctionReturn(mat); } PETSC_EXTERN PetscErrorCode MatlabEnginePut_SeqAIJ(PetscObject obj,void *mengine) { PetscErrorCode ierr; mxArray *mat; PetscFunctionBegin; mat = MatSeqAIJToMatlab((Mat)obj);if (!mat) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_LIB,"Cannot create MATLAB matrix"); ierr = PetscObjectName(obj);CHKERRQ(ierr); engPutVariable((Engine*)mengine,obj->name,mat); PetscFunctionReturn(0); } PETSC_EXTERN PetscErrorCode MatSeqAIJFromMatlab(mxArray *mmat,Mat mat) { PetscErrorCode ierr; PetscInt nz,n,m,*i,*j,k; mwIndex nnz,nn,nm,*ii,*jj; Mat_SeqAIJ *aij = (Mat_SeqAIJ*)mat->data; PetscFunctionBegin; nn = mxGetN(mmat); /* rows of transpose of matrix */ nm = mxGetM(mmat); nnz = (mxGetJc(mmat))[nn]; ii = mxGetJc(mmat); jj = mxGetIr(mmat); n = (PetscInt) nn; m = (PetscInt) nm; nz = (PetscInt) nnz; if (mat->rmap->n < 0 && mat->cmap->n < 0) { /* matrix has not yet had its size set */ ierr = MatSetSizes(mat,n,m,PETSC_DETERMINE,PETSC_DETERMINE);CHKERRQ(ierr); ierr = MatSetUp(mat);CHKERRQ(ierr); } else { if (mat->rmap->n != n) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change size of PETSc matrix %D to %D",mat->rmap->n,n); if (mat->cmap->n != m) SETERRQ2(PETSC_COMM_SELF,PETSC_ERR_SUP,"Cannot change size of PETSc matrix %D to %D",mat->cmap->n,m); } if (nz != aij->nz) { /* number of nonzeros in matrix has changed, so need new data structure */ ierr = MatSeqXAIJFreeAIJ(mat,&aij->a,&aij->j,&aij->i);CHKERRQ(ierr); aij->nz = nz; ierr = PetscMalloc3(aij->nz,&aij->a,aij->nz,&aij->j,mat->rmap->n+1,&aij->i);CHKERRQ(ierr); aij->singlemalloc = PETSC_TRUE; } ierr = PetscArraycpy(aij->a,mxGetPr(mmat),aij->nz);CHKERRQ(ierr); /* MATLAB stores by column, not row so we pass in the transpose of the matrix */ i = aij->i; for (k=0; kj; for (k=0; krmap->n; k++) aij->ilen[k] = aij->imax[k] = aij->i[k+1] - aij->i[k]; mat->nonzerostate++; /* since the nonzero structure can change anytime force the Inode information to always be rebuilt */ ierr = MatAssemblyBegin(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); ierr = MatAssemblyEnd(mat,MAT_FINAL_ASSEMBLY);CHKERRQ(ierr); PetscFunctionReturn(0); } PETSC_EXTERN PetscErrorCode MatlabEngineGet_SeqAIJ(PetscObject obj,void *mengine) { PetscErrorCode ierr; Mat mat = (Mat)obj; mxArray *mmat; PetscFunctionBegin; mmat = engGetVariable((Engine*)mengine,obj->name); ierr = MatSeqAIJFromMatlab(mmat,mat);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatSolve_Matlab(Mat A,Vec b,Vec x) { PetscErrorCode ierr; const char *_A,*_b,*_x; PetscFunctionBegin; /* make sure objects have names; use default if not */ ierr = PetscObjectName((PetscObject)b);CHKERRQ(ierr); ierr = PetscObjectName((PetscObject)x);CHKERRQ(ierr); ierr = PetscObjectGetName((PetscObject)A,&_A);CHKERRQ(ierr); ierr = PetscObjectGetName((PetscObject)b,&_b);CHKERRQ(ierr); ierr = PetscObjectGetName((PetscObject)x,&_x);CHKERRQ(ierr); ierr = PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)b);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = u%s\\(l%s\\(p%s*%s));",_x,_A,_A,_A,_b);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_b);CHKERRQ(ierr); /* ierr = PetscMatlabEnginePrintOutput(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),stdout);CHKERRQ(ierr); */ ierr = PetscMatlabEngineGet(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)x);CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatLUFactorNumeric_Matlab(Mat F,Mat A,const MatFactorInfo *info) { PetscErrorCode ierr; size_t len; char *_A,*name; PetscReal dtcol = info->dtcol; PetscFunctionBegin; if (F->factortype == MAT_FACTOR_ILU || info->dt > 0) { /* the ILU form is not currently registered */ if (info->dtcol == PETSC_DEFAULT) dtcol = .01; F->ops->solve = MatSolve_Matlab; F->factortype = MAT_FACTOR_LU; ierr = PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)A);CHKERRQ(ierr); _A = ((PetscObject)A)->name; ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"info_%s = struct('droptol',%g,'thresh',%g);",_A,info->dt,dtcol);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"[l_%s,u_%s,p_%s] = luinc(%s',info_%s);",_A,_A,_A,_A,_A);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_A);CHKERRQ(ierr); ierr = PetscStrlen(_A,&len);CHKERRQ(ierr); ierr = PetscMalloc1(len+2,&name);CHKERRQ(ierr); sprintf(name,"_%s",_A); ierr = PetscObjectSetName((PetscObject)F,name);CHKERRQ(ierr); ierr = PetscFree(name);CHKERRQ(ierr); } else { ierr = PetscMatlabEnginePut(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),(PetscObject)A);CHKERRQ(ierr); _A = ((PetscObject)A)->name; ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"[l_%s,u_%s,p_%s] = lu(%s',%g);",_A,_A,_A,_A,dtcol);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"%s = 0;",_A);CHKERRQ(ierr); ierr = PetscStrlen(_A,&len);CHKERRQ(ierr); ierr = PetscMalloc1(len+2,&name);CHKERRQ(ierr); sprintf(name,"_%s",_A); ierr = PetscObjectSetName((PetscObject)F,name);CHKERRQ(ierr); ierr = PetscFree(name);CHKERRQ(ierr); F->ops->solve = MatSolve_Matlab; } PetscFunctionReturn(0); } PetscErrorCode MatLUFactorSymbolic_Matlab(Mat F,Mat A,IS r,IS c,const MatFactorInfo *info) { PetscFunctionBegin; if (A->cmap->N != A->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"matrix must be square"); F->ops->lufactornumeric = MatLUFactorNumeric_Matlab; F->assembled = PETSC_TRUE; PetscFunctionReturn(0); } PetscErrorCode MatFactorGetSolverType_seqaij_matlab(Mat A,MatSolverType *type) { PetscFunctionBegin; *type = MATSOLVERMATLAB; PetscFunctionReturn(0); } PetscErrorCode MatDestroy_matlab(Mat A) { PetscErrorCode ierr; const char *_A; PetscFunctionBegin; ierr = PetscObjectGetName((PetscObject)A,&_A);CHKERRQ(ierr); ierr = PetscMatlabEngineEvaluate(PETSC_MATLAB_ENGINE_(PetscObjectComm((PetscObject)A)),"delete %s l_%s u_%s;",_A,_A,_A);CHKERRQ(ierr); PetscFunctionReturn(0); } PETSC_EXTERN PetscErrorCode MatGetFactor_seqaij_matlab(Mat A,MatFactorType ftype,Mat *F) { PetscErrorCode ierr; PetscFunctionBegin; if (A->cmap->N != A->rmap->N) SETERRQ(PETSC_COMM_SELF,PETSC_ERR_ARG_SIZ,"matrix must be square"); ierr = MatCreate(PetscObjectComm((PetscObject)A),F);CHKERRQ(ierr); ierr = MatSetSizes(*F,A->rmap->n,A->cmap->n,A->rmap->n,A->cmap->n);CHKERRQ(ierr); ierr = PetscStrallocpy("matlab",&((PetscObject)*F)->type_name);CHKERRQ(ierr); ierr = MatSetUp(*F);CHKERRQ(ierr); (*F)->ops->destroy = MatDestroy_matlab; (*F)->ops->getinfo = MatGetInfo_External; (*F)->trivialsymbolic = PETSC_TRUE; (*F)->ops->lufactorsymbolic = MatLUFactorSymbolic_Matlab; (*F)->ops->ilufactorsymbolic = MatLUFactorSymbolic_Matlab; ierr = PetscObjectComposeFunction((PetscObject)(*F),"MatFactorGetSolverType_C",MatFactorGetSolverType_seqaij_matlab);CHKERRQ(ierr); (*F)->factortype = ftype; ierr = PetscFree((*F)->solvertype);CHKERRQ(ierr); ierr = PetscStrallocpy(MATSOLVERMATLAB,&(*F)->solvertype);CHKERRQ(ierr); PetscFunctionReturn(0); } PETSC_EXTERN PetscErrorCode MatSolverTypeRegister_Matlab(void) { PetscErrorCode ierr; PetscFunctionBegin; ierr = MatSolverTypeRegister(MATSOLVERMATLAB,MATSEQAIJ, MAT_FACTOR_LU,MatGetFactor_seqaij_matlab);CHKERRQ(ierr); PetscFunctionReturn(0); } /* --------------------------------------------------------------------------------*/ PetscErrorCode MatView_Info_Matlab(Mat A,PetscViewer viewer) { PetscErrorCode ierr; PetscFunctionBegin; ierr = PetscViewerASCIIPrintf(viewer,"MATLAB run parameters: -- not written yet!\n");CHKERRQ(ierr); PetscFunctionReturn(0); } PetscErrorCode MatView_Matlab(Mat A,PetscViewer viewer) { PetscErrorCode ierr; PetscBool iascii; PetscViewerFormat format; PetscFunctionBegin; ierr = MatView_SeqAIJ(A,viewer);CHKERRQ(ierr); ierr = PetscObjectTypeCompare((PetscObject)viewer,PETSCVIEWERASCII,&iascii);CHKERRQ(ierr); if (iascii) { ierr = PetscViewerGetFormat(viewer,&format);CHKERRQ(ierr); if (format == PETSC_VIEWER_ASCII_FACTOR_INFO) { ierr = MatView_Info_Matlab(A,viewer);CHKERRQ(ierr); } } PetscFunctionReturn(0); } /*MC MATSOLVERMATLAB - "matlab" - Providing direct solver LU for sequential aij matrix via the external package MATLAB. Works with MATSEQAIJ matrices. Options Database Keys: . -pc_factor_mat_solver_type matlab - selects MATLAB to do the sparse factorization Notes: You must ./configure with the options --with-matlab --with-matlab-engine Level: beginner .seealso: PCLU .seealso: PCFactorSetMatSolverType(), MatSolverType M*/