[petsc-users] KSPCG solution blow up
Matthew Knepley
knepley at gmail.com
Mon Apr 15 16:12:16 CDT 2013
On Mon, Apr 15, 2013 at 4:08 PM, Hugo Gagnon <
opensource.petsc at user.fastmail.fm> wrote:
> For the problem I'm describing my serial in-house solver does not work
> with ILU(0) but works with ILU(3). I have no option to run Jacobi. When I
> apply the same problem to PETSc's PC solver with ILU(3) in serial I
> get KSP_DIVERGED_INDEFINITE_PC on the first iteration (in MPI the solution
> somewhat converges but very slowly).
>
As Mark said, ILU(3) does not preserve either symmetry or definiteness.
Matt
> call KSPGetPC(Pksp,Ppc,Pierr)
> call PCSetType(Ppc,PCILU,Pierr)
> call PCFactorSetLevels(Ppc,3,Pierr)
>
> This effectively changes the fill level from 0 to 3, right?
>
> --
> Hugo Gagnon
>
> On 2013-04-15, at 4:35 PM, Mark F. Adams <mark.adams at columbia.edu> wrote:
>
> ILU is not guaranteed to stay positive and CG requires this. PETSc's ILU
> is ILU(0). If your in-house PCG solver works with ILU(0) then there is
> probably a bug in your construction of the PETSc matrix. If your in-house
> code does not use ILU(0) then I would try PCJACOBI and verify that you get
> the same residaul history as your in-house solver (assuming that you can do
> Jacobi).
>
>
> On Apr 15, 2013, at 4:04 PM, Jed Brown <jedbrown at mcs.anl.gov> wrote:
>
> Hugo Gagnon <opensource.petsc at user.fastmail.fm> writes:
>
> Hi,
>
> I hope you don't mind me writing to you off list, I just don't think
> my problem would be helpful to others anyway.
>
>
> I'd rather keep discussions on the list. We (PETSc developers) cannot
> scale to have private conversations with all users.
>
> I'm trying to converge a problem with KSPCG, which I know for sure
> that both A and b, as in Ax=b, are correct. I can successfully
> converge this particular problem using our own serial in-house PCG
> solver, whereas with PETSc the solution blows up at the first
> iteration with error code -8.
>
>
> -ksp_converged_reason prints why, or use KSPConvergedReasons to get the
> string.
>
> KSP_DIVERGED_INDEFINITE_PC = -8,
>
>
> I've included parts of my code below. Again, I've triple checked that
> I build A and b correctly. Being a beginner with PETSc and parallel
> solvers in general, I'd appreciate if you could give me some simple
> pointers as to why my problem is blowing up and how can I improve my
> code.
>
>
>
> http://scicomp.stackexchange.com/questions/513/why-is-my-iterative-linear-solver-not-converging
>
> Note that this code does work for easier problems, although I've
> noticed that in general PETSc takes way more iterations to converge
> than our in-house solver. Would you have an idea as to why this is
> so?
>
>
> You are either doing a different algorithm or evaluating convergence
> differently. What preconditioner are you using in serial? Why aren't
> you using PETSc's multigrid? Send the diagnostics described in the link
> if you want more help.
>
> I know I'm asking quite a bit but I've been struggling with this
> problem for what I feel far too long!
>
> Thank you for your help,
> --
> Hugo Gagnon
>
> !-- initialize petsc with the current communicator
> PETSC_COMM_WORLD = COMM_CURRENT
> call PetscInitialize(PETSC_NULL_CHARACTER,Pierr)
>
> !-- instantiate the lhs and solution vectors
> call VecCreate(PETSC_COMM_WORLD,Pb,Pierr)
> call VecSetSizes(Pb,PETSC_DECIDE,numVar,Pierr))
> call VecSetType(Pb,VECSTANDARD,Pierr)
> call VecDuplicate(Pb,Psol,Pierr)
>
> !-- instantiate the rhs
> call MatCreate(PETSC_COMM_WORLD,Paa,Pierr)
> call MatSetSizes(Paa,PETSC_DECIDE,PETSC_DECIDE,numVar,numVar,Pierr)
> call MatSetType(Paa,MATAIJ,Pierr) !-- csr format
>
> !-- preallocate memory
> mnnz = 81 !-- knob
> call MatSeqAIJSetPreallocation(Paa,mnnz,PETSC_NULL_INTEGER,Pierr)
> call
> MatMPIAIJSetPreallocation(Paa,mnnz,PETSC_NULL_INTEGER,mnnz,PETSC_NULL_INTEGER,Pierr)
>
> !-- instantiate the linear solver context
> call KSPCreate(PETSC_COMM_WORLD,Pksp,Pierr)
> call KSPSetType(Pksp,KSPCG,Pierr)
>
> !-- use a custom monitor function
> call
> KSPMonitorSet(Pksp,KSPMonitorPETSc,PETSC_NULL_OBJECT,PETSC_NULL_FUNCTION,Pierr)
>
> !-- instantiate a scatterer so that root has access to full Psol
> call VecScatterCreateToZero(Psol,Psols,Psol0,Pierr)
>
> call MatZeroEntries(Paa,Pierr)
>
> *** build Psol, Pb and Paa ****
>
> !-- assemble (distribute) the initial solution, the lhs and the rhs
> call VecAssemblyBegin(Psol,Pierr)
> call VecAssemblyBegin(Pb,Pierr)
> call MatAssemblyBegin(Paa,MAT_FINAL_ASSEMBLY,Pierr)
> call VecAssemblyEnd(Psol,Pierr)
> call VecAssemblyEnd(Pb,Pierr)
> call MatAssemblyEnd(Paa,MAT_FINAL_ASSEMBLY,Pierr)
> call MatSetOption(Paa,MAT_NEW_NONZERO_LOCATIONS,PETSC_FALSE,Pierr)
>
> !-- setup pcg, reusing the lhs as preconditioner
> call KSPSetOperators(Pksp,Paa,Paa,SAME_NONZERO_PATTERN,Pierr)
> call
> KSPSetTolerances(Pksp,tol,PETSC_DEFAULT_DOUBLE_PRECISION,PETSC_DEFAULT_DOUBLE_PRECISION,grid%pcg_its,Pierr)
>
> !-- setup the preconditioner with the desired fill level
> call KSPGetPC(Pksp,Ppc,Pierr)
> if (nProc > 1) then
> call PCSetType(Ppc,PCBJACOBI,Pierr)
> call KSPSetup(Pksp,Pierr)
> call PCBJacobiGetSubKSP(Ppc,j,j,Psubksp,Pierr)
> call KSPGetPC(Psubksp(1),Ppc,Pierr)
> end if
> call PCSetType(Ppc,PCILU,Pierr)
> call PCFactorSetLevels(Ppc,grid%pcg_fill,Pierr)
>
> !-- do not zero out the solution vector
> call KSPSetInitialGuessNonzero(Pksp,PETSC_TRUE,Pierr)
> call KSPSetFromOptions(Pksp,Pierr)
>
> !-- let petsc do its magic
> call KSPSolve(Pksp,Pb,Psol,Pierr)
> call KSPGetConvergedReason(Pksp,Pconv,Pierr)
>
>
>
>
>
--
What most experimenters take for granted before they begin their
experiments is infinitely more interesting than any results to which their
experiments lead.
-- Norbert Wiener
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