/* Defines a ILU factorization preconditioner for any Mat implementation */ #include <../src/ksp/pc/impls/factor/ilu/ilu.h> /*I "petscpc.h" I*/ #undef __FUNCT__ #define __FUNCT__ "PCFactorReorderForNonzeroDiagonal_ILU" PetscErrorCode PCFactorReorderForNonzeroDiagonal_ILU(PC pc,PetscReal z) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscFunctionBegin; ilu->nonzerosalongdiagonal = PETSC_TRUE; if (z == PETSC_DECIDE) ilu->nonzerosalongdiagonaltol = 1.e-10; else ilu->nonzerosalongdiagonaltol = z; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCReset_ILU" PetscErrorCode PCReset_ILU(PC pc) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscErrorCode ierr; PetscFunctionBegin; if (!ilu->hdr.inplace) {ierr = MatDestroy(&((PC_Factor*)ilu)->fact);CHKERRQ(ierr);} if (ilu->row && ilu->col && ilu->row != ilu->col) {ierr = ISDestroy(&ilu->row);CHKERRQ(ierr);} ierr = ISDestroy(&ilu->col);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCFactorSetDropTolerance_ILU" PetscErrorCode PCFactorSetDropTolerance_ILU(PC pc,PetscReal dt,PetscReal dtcol,PetscInt dtcount) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscFunctionBegin; if (pc->setupcalled && (((PC_Factor*)ilu)->info.dt != dt || ((PC_Factor*)ilu)->info.dtcol != dtcol || ((PC_Factor*)ilu)->info.dtcount != dtcount)) { SETERRQ(PetscObjectComm((PetscObject)pc),PETSC_ERR_SUP,"Cannot change drop tolerance after using PC"); } ((PC_Factor*)ilu)->info.dt = dt; ((PC_Factor*)ilu)->info.dtcol = dtcol; ((PC_Factor*)ilu)->info.dtcount = dtcount; ((PC_Factor*)ilu)->info.usedt = 1.0; PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCSetFromOptions_ILU" static PetscErrorCode PCSetFromOptions_ILU(PetscOptionItems *PetscOptionsObject,PC pc) { PetscErrorCode ierr; PetscInt itmp; PetscBool flg,set; PC_ILU *ilu = (PC_ILU*)pc->data; PetscReal tol; PetscFunctionBegin; ierr = PetscOptionsHead(PetscOptionsObject,"ILU Options");CHKERRQ(ierr); ierr = PCSetFromOptions_Factor(PetscOptionsObject,pc);CHKERRQ(ierr); ierr = PetscOptionsInt("-pc_factor_levels","levels of fill","PCFactorSetLevels",(PetscInt)((PC_Factor*)ilu)->info.levels,&itmp,&flg);CHKERRQ(ierr); if (flg) ((PC_Factor*)ilu)->info.levels = itmp; ierr = PetscOptionsBool("-pc_factor_diagonal_fill","Allow fill into empty diagonal entry","PCFactorSetAllowDiagonalFill",((PC_Factor*)ilu)->info.diagonal_fill ? PETSC_TRUE : PETSC_FALSE,&flg,&set);CHKERRQ(ierr); if (set) ((PC_Factor*)ilu)->info.diagonal_fill = (PetscReal) flg; ierr = PetscOptionsName("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",&flg);CHKERRQ(ierr); if (flg) { tol = PETSC_DECIDE; ierr = PetscOptionsReal("-pc_factor_nonzeros_along_diagonal","Reorder to remove zeros from diagonal","PCFactorReorderForNonzeroDiagonal",ilu->nonzerosalongdiagonaltol,&tol,0);CHKERRQ(ierr); ierr = PCFactorReorderForNonzeroDiagonal(pc,tol);CHKERRQ(ierr); } ierr = PetscOptionsTail();CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCView_ILU" static PetscErrorCode PCView_ILU(PC pc,PetscViewer viewer) { PetscErrorCode ierr; PetscFunctionBegin; ierr = PCView_Factor(pc,viewer);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCSetUp_ILU" static PetscErrorCode PCSetUp_ILU(PC pc) { PetscErrorCode ierr; PC_ILU *ilu = (PC_ILU*)pc->data; MatInfo info; PetscBool flg; const MatSolverPackage stype; MatFactorError err; PetscFunctionBegin; pc->failedreason = PC_NOERROR; /* ugly hack to change default, since it is not support by some matrix types */ if (((PC_Factor*)ilu)->info.shifttype == (PetscReal)MAT_SHIFT_NONZERO) { ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATSEQAIJ,&flg);CHKERRQ(ierr); if (!flg) { ierr = PetscObjectTypeCompare((PetscObject)pc->pmat,MATMPIAIJ,&flg);CHKERRQ(ierr); if (!flg) { ((PC_Factor*)ilu)->info.shifttype = (PetscReal)MAT_SHIFT_INBLOCKS; PetscInfo(pc,"Changing shift type from NONZERO to INBLOCKS because block matrices do not support NONZERO\n");CHKERRQ(ierr); } } } ierr = MatSetErrorIfFailure(pc->pmat,pc->erroriffailure);CHKERRQ(ierr); if (ilu->hdr.inplace) { if (!pc->setupcalled) { /* In-place factorization only makes sense with the natural ordering, so we only need to get the ordering once, even if nonzero structure changes */ ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} } /* In place ILU only makes sense with fill factor of 1.0 because cannot have levels of fill */ ((PC_Factor*)ilu)->info.fill = 1.0; ((PC_Factor*)ilu)->info.diagonal_fill = 0.0; ierr = MatILUFactor(pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr);CHKERRQ(ierr); ierr = MatFactorGetError(pc->pmat,&err);CHKERRQ(ierr); if (err) { /* Factor() fails */ pc->failedreason = (PCFailedReason)err; PetscFunctionReturn(0); } ((PC_Factor*)ilu)->fact = pc->pmat; /* must update the pc record of the matrix state or the PC will attempt to run PCSetUp() yet again */ ierr = PetscObjectStateGet((PetscObject)pc->pmat,&pc->matstate);CHKERRQ(ierr); } else { if (!pc->setupcalled) { /* first time in so compute reordering and symbolic factorization */ ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} /* Remove zeros along diagonal? */ if (ilu->nonzerosalongdiagonal) { ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); } if (!((PC_Factor*)ilu)->fact) { ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); } ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); ilu->hdr.actualfill = info.fill_ratio_needed; ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);CHKERRQ(ierr); } else if (pc->flag != SAME_NONZERO_PATTERN) { if (!ilu->hdr.reuseordering) { /* compute a new ordering for the ILU */ ierr = ISDestroy(&ilu->row);CHKERRQ(ierr); ierr = ISDestroy(&ilu->col);CHKERRQ(ierr); ierr = MatGetOrdering(pc->pmat,((PC_Factor*)ilu)->ordering,&ilu->row,&ilu->col);CHKERRQ(ierr); if (ilu->row) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->row);CHKERRQ(ierr);} if (ilu->col) {ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)ilu->col);CHKERRQ(ierr);} /* Remove zeros along diagonal? */ if (ilu->nonzerosalongdiagonal) { ierr = MatReorderForNonzeroDiagonal(pc->pmat,ilu->nonzerosalongdiagonaltol,ilu->row,ilu->col);CHKERRQ(ierr); } } ierr = MatDestroy(&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); ierr = MatGetFactor(pc->pmat,((PC_Factor*)ilu)->solvertype,MAT_FACTOR_ILU,&((PC_Factor*)ilu)->fact);CHKERRQ(ierr); ierr = MatILUFactorSymbolic(((PC_Factor*)ilu)->fact,pc->pmat,ilu->row,ilu->col,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); ierr = MatGetInfo(((PC_Factor*)ilu)->fact,MAT_LOCAL,&info);CHKERRQ(ierr); ilu->hdr.actualfill = info.fill_ratio_needed; ierr = PetscLogObjectParent((PetscObject)pc,(PetscObject)((PC_Factor*)ilu)->fact);CHKERRQ(ierr); } ierr = MatFactorGetError(((PC_Factor*)ilu)->fact,&err);CHKERRQ(ierr); if (err) { /* FactorSymbolic() fails */ pc->failedreason = (PCFailedReason)err; PetscFunctionReturn(0); } ierr = MatLUFactorNumeric(((PC_Factor*)ilu)->fact,pc->pmat,&((PC_Factor*)ilu)->info);CHKERRQ(ierr); ierr = MatFactorGetError(((PC_Factor*)ilu)->fact,&err);CHKERRQ(ierr); if (err) { /* FactorNumeric() fails */ pc->failedreason = (PCFailedReason)err; } } ierr = PCFactorGetMatSolverPackage(pc,&stype);CHKERRQ(ierr); if (!stype) { const MatSolverPackage solverpackage; ierr = MatFactorGetSolverPackage(((PC_Factor*)ilu)->fact,&solverpackage);CHKERRQ(ierr); ierr = PCFactorSetMatSolverPackage(pc,solverpackage);CHKERRQ(ierr); } PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCDestroy_ILU" static PetscErrorCode PCDestroy_ILU(PC pc) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = PCReset_ILU(pc);CHKERRQ(ierr); ierr = PetscFree(((PC_Factor*)ilu)->solvertype);CHKERRQ(ierr); ierr = PetscFree(((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); ierr = PetscFree(pc->data);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCApply_ILU" static PetscErrorCode PCApply_ILU(PC pc,Vec x,Vec y) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = MatSolve(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCApplyTranspose_ILU" static PetscErrorCode PCApplyTranspose_ILU(PC pc,Vec x,Vec y) { PC_ILU *ilu = (PC_ILU*)pc->data; PetscErrorCode ierr; PetscFunctionBegin; ierr = MatSolveTranspose(((PC_Factor*)ilu)->fact,x,y);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCApplySymmetricLeft_ILU" static PetscErrorCode PCApplySymmetricLeft_ILU(PC pc,Vec x,Vec y) { PetscErrorCode ierr; PC_ILU *icc = (PC_ILU*)pc->data; PetscFunctionBegin; ierr = MatForwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); PetscFunctionReturn(0); } #undef __FUNCT__ #define __FUNCT__ "PCApplySymmetricRight_ILU" static PetscErrorCode PCApplySymmetricRight_ILU(PC pc,Vec x,Vec y) { PetscErrorCode ierr; PC_ILU *icc = (PC_ILU*)pc->data; PetscFunctionBegin; ierr = MatBackwardSolve(((PC_Factor*)icc)->fact,x,y);CHKERRQ(ierr); PetscFunctionReturn(0); } /*MC PCILU - Incomplete factorization preconditioners. Options Database Keys: + -pc_factor_levels - number of levels of fill for ILU(k) . -pc_factor_in_place - only for ILU(0) with natural ordering, reuses the space of the matrix for its factorization (overwrites original matrix) . -pc_factor_diagonal_fill - fill in a zero diagonal even if levels of fill indicate it wouldn't be fill . -pc_factor_reuse_ordering - reuse ordering of factorized matrix from previous factorization . -pc_factor_fill - expected amount of fill in factored matrix compared to original matrix, nfill > 1 . -pc_factor_nonzeros_along_diagonal - reorder the matrix before factorization to remove zeros from the diagonal, this decreases the chance of getting a zero pivot . -pc_factor_mat_ordering_type - set the row/column ordering of the factored matrix - -pc_factor_pivot_in_blocks - for block ILU(k) factorization, i.e. with BAIJ matrices with block size larger than 1 the diagonal blocks are factored with partial pivoting (this increases the stability of the ILU factorization Level: beginner Concepts: incomplete factorization Notes: Only implemented for some matrix formats. (for parallel see PCHYPRE for hypre's ILU) For BAIJ matrices this implements a point block ILU The "symmetric" application of this preconditioner is not actually symmetric since L is not transpose(U) even when the matrix is not symmetric since the U stores the diagonals of the factorization. If you are using MATSEQAIJCUSPARSE matrices (or MATMPIAIJCUSPARESE matrices with block Jacobi), factorization is never done on the GPU). References: + 1. - T. Dupont, R. Kendall, and H. Rachford. An approximate factorization procedure for solving self adjoint elliptic difference equations. SIAM J. Numer. Anal., 5, 1968. . 2. - T.A. Oliphant. An implicit numerical method for solving two dimensional timedependent diffusion problems. Quart. Appl. Math., 19, 1961. - 3. - TONY F. CHAN AND HENK A. VAN DER VORST, APPROXIMATE AND INCOMPLETE FACTORIZATIONS, Chapter in Parallel Numerical Algorithms, edited by D. Keyes, A. Semah, V. Venkatakrishnan, ICASE/LaRC Interdisciplinary Series in Science and Engineering, Kluwer. .seealso: PCCreate(), PCSetType(), PCType (for list of available types), PC, PCSOR, MatOrderingType, PCFactorSetZeroPivot(), PCFactorSetShiftSetType(), PCFactorSetAmount(), PCFactorSetDropTolerance(),PCFactorSetFill(), PCFactorSetMatOrderingType(), PCFactorSetReuseOrdering(), PCFactorSetLevels(), PCFactorSetUseInPlace(), PCFactorSetAllowDiagonalFill(), PCFactorSetPivotInBlocks(), PCFactorGetAllowDiagonalFill(), PCFactorGetUseInPlace() M*/ #undef __FUNCT__ #define __FUNCT__ "PCCreate_ILU" PETSC_EXTERN PetscErrorCode PCCreate_ILU(PC pc) { PetscErrorCode ierr; PC_ILU *ilu; PetscFunctionBegin; ierr = PetscNewLog(pc,&ilu);CHKERRQ(ierr); pc->data = (void*)ilu; ierr = PCFactorInitialize(pc);CHKERRQ(ierr); ((PC_Factor*)ilu)->factortype = MAT_FACTOR_ILU; ((PC_Factor*)ilu)->info.levels = 0.; ((PC_Factor*)ilu)->info.fill = 1.0; ilu->col = 0; ilu->row = 0; ierr = PetscStrallocpy(MATORDERINGNATURAL,(char**)&((PC_Factor*)ilu)->ordering);CHKERRQ(ierr); ((PC_Factor*)ilu)->info.dt = PETSC_DEFAULT; ((PC_Factor*)ilu)->info.dtcount = PETSC_DEFAULT; ((PC_Factor*)ilu)->info.dtcol = PETSC_DEFAULT; pc->ops->reset = PCReset_ILU; pc->ops->destroy = PCDestroy_ILU; pc->ops->apply = PCApply_ILU; pc->ops->applytranspose = PCApplyTranspose_ILU; pc->ops->setup = PCSetUp_ILU; pc->ops->setfromoptions = PCSetFromOptions_ILU; pc->ops->view = PCView_ILU; pc->ops->applysymmetricleft = PCApplySymmetricLeft_ILU; pc->ops->applysymmetricright = PCApplySymmetricRight_ILU; pc->ops->applyrichardson = 0; ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorSetDropTolerance_C",PCFactorSetDropTolerance_ILU);CHKERRQ(ierr); ierr = PetscObjectComposeFunction((PetscObject)pc,"PCFactorReorderForNonzeroDiagonal_C",PCFactorReorderForNonzeroDiagonal_ILU);CHKERRQ(ierr); PetscFunctionReturn(0); }