[petsc-users] Using factored complex matrices from MUMPS as a preconditioner in PETSC

[Hong]

I'll check it.
Hong

On Sun, Sep 24, 2017 at 3:42 PM, Evan Um <evanum at gmail.com> wrote:

> Hi Barry,
>
> Thanks for your comments. To activate block low rank (BLR) approximation
> in MUMPS version 5.1.1, a user needs to turn on the functionality (i.e.
> ICNTL(35)=1) and specify the tolerance value (e.g. CNTL(7)=1e-4). In PETSC,
> I think that we can set up ICNTL and CNTL parameters for MUMPS. I was
> wondering if we can still use BLR approximation for a preconditioner for
> Krylov solvers.
>
> Best,
> Evan
>
>
> On Sat, Sep 23, 2017 at 6:45 PM, Barry Smith <bsmith at mcs.anl.gov> wrote:
>
>>
>> > On Sep 23, 2017, at 8:38 PM, Evan Um <evanum at gmail.com> wrote:
>> >
>> > Dear PETSC Users,
>> >
>> > My system matrix comes from finite element modeling and is complex and
>> unstructured. Its typical size is a few millions-by a few millions. I
>> wondering if I can use MUMPS parallel direct solver as a preconditioner in
>> PETSC. For example, I want to pass factored matrices to Krylov iterative
>> solvers such as QMR. Is there any PETSC+MUMPS example code for the purpose?
>>
>>   You don't pass factored matrices you just pass the original matrix and
>> use -pc_type lu -pc_factor_mat_solver_package mumps
>>
>> > Can PETSC call the latest MUMPS that supports block low rank
>> approximation?
>>
>>   No, send us info on it and we'll see if we can add an interface
>>
>>
>> >
>> > In advance, thank you very much for your comments.
>> >
>> > Best,
>> > Evan
>> >
>> >
>> >
>> >
>> >
>>
>>
>
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