[petsc-users] Parallel LU with MPIDENSE

[Matthew Knepley]

On Tue, Oct 2, 2018 at 10:59 AM David Sommer <david97sommer at gmail.com>
wrote:

> Hello,
>
> i was trying to solve a linear system with a MPIDENSE matrix. I did
> PC pc;
> KSPGetPC(solver, &pc);
> PCSetType(pc, PCLU);
> KSPSetOperators(solver, a_petsc, a_petsc);
> for some KSP solver and some Mat a_petsc. When i run the code sequentially
> (mpirun -n 1) it works, but once i start it in parallel it breaks with the
> error message
>
>
>
>
>
>
>
> *[0]PETSC ERROR: --------------------- Error Message
> --------------------------------------------------------------
> [0]PETSC ERROR: See
> http://www.mcs.anl.gov/petsc/documentation/linearsolvertable.html
> <http://www.mcs.anl.gov/petsc/documentation/linearsolvertable.html> for
> possible LU and Cholesky
> solvers
> [0]PETSC ERROR: Could not locate a solver package. Perhaps you must
> ./configure with
> --download-<package>
> [0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html
> <http://www.mcs.anl.gov/petsc/documentation/faq.html> for trouble
> shooting.
> [0]PETSC ERROR: Petsc Release Version 3.9.3,
> unknown
> [0]PETSC ERROR: Unknown Name on a arch-linux2-c-debug named manjaroDesktop
> by david Tue Oct  2 16:47:10
> 2018
> [0]PETSC ERROR: Configure options --download-superlu_dist
> --download-parmetis --download-metis
> --download-ptscotch
> [0]PETSC ERROR: #1 MatGetFactor() line 4328 in
> /home/david/lib/petsc/src/mat/interface/matrix.c     *
>
> I recompiled petsc with the recommended options (and also trying some
> other options) but the error persists. on the linear solve table there is
> an X at the required solver package column for dense LU. What does it mean?
> On
> https://www.mcs.anl.gov/petsc/petsc-3.2/docs/linearsolvertable.html
> it says "PLAPACK". Did you deprecate it? What is the replacement?
>

I do not see PLAPACK. You want Elemental.

  Thanks,

    Matt



> Thanks
>
> David Sommer
>


-- 
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

https://www.cse.buffalo.edu/~knepley/ <http://www.cse.buffalo.edu/~knepley/>
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