any examples to demonstrate how to Spooles package?

[Yujie]

Dear Matt:

I checked the codes about MatMatSolve(). However, currently, PETSc didn't
realize its parallel version. Is it right? I want to inverse the matrix
parallelly. could you give me some examples about it? thanks a lot.

Regards,
Yujie

On 2/27/08, Matthew Knepley <knepley at gmail.com> wrote:
>
> On Wed, Feb 27, 2008 at 11:05 AM, Yujie <recrusader at gmail.com> wrote:
> > Dear Sanjay:
> >
> > Thank you for your reply. I don't understand what you said. Now, I want
> to
> > use spooles package to inverse a sparse SPD matrix. I have further
> checked
> > the inferface about spooles in PETSc. I find although spooles can deal
> with
> > AX=B (B may be a dense matrix) with parallel LU factorization.
> >  However, PETSc only provide the following:
> > 51: PetscErrorCode MatSolve_MPISpooles(Mat A,Vec b,Vec x)
> >  I don't set b to a matrix even if I use
> >  178: PetscErrorCode MatFactorNumeric_MPISpooles(Mat A,MatFactorInfo
> > *info,Mat *F) for LU factorization.
> >
> > Could you have any suggestions about this? thanks a lot.
>
>
> MatMatSolve()
>
>
> http://www-unix.mcs.anl.gov/petsc/petsc-as/snapshots/petsc-current/docs/manualpages/Mat/MatMatSolve.html
>
>    Matt
>
>
> > Regards,
> > Yujie
> >
> > On 2/26/08, Sanjay Govindjee <sanjay at ce.berkeley.edu> wrote:
> > > from my make file
> > >
> > > -@${MPIRUN} -s all -np $(NPROC) $(PROGNAME) -ksp_type preonly
> > > -ksp_monitor -pc_type cholesky -mat_type mpisbaijspooles -log_summary
> > > -on_error_attach_debugger -mat_spooles_symmetryflag 0  -options_left
> > >
> > >
> > > -sg
> > >
> > >
> > > Yujie wrote:
> > > > Hi, everyone
> > > >
> > > > I have compiled PETSc with spooles. However, I try to find how to
> use
> > > > this package in PETSc directory. I can't find any examples for it.
> > > > Could you give me some advice? I want to use spooles to inverse a
> > > > sparse matrix. thanks a lot.
> > > >
> > > > Regards,
> > > > Yujie
> > >
> > >
> >
> >
>
>
>
>
> --
> 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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