[petsc-users] question about MatCreateRedundantMatrix
Zhang, Hong
hzhang at mcs.anl.gov
Thu Sep 19 13:22:34 CDT 2019
Michael,
--------------------------------------------------------------
[0]PETSC ERROR: No support for this operation for this object type
[0]PETSC ERROR: Mat type seqdense
[0]PETSC ERROR: See http://www.mcs.anl.gov/petsc/documentation/faq.html
for trouble shooting.
[0]PETSC ERROR: Petsc Release Version 3.8.4, Mar, 24, 2018
This is an old version of Petsc. Can you update to the latest Petsc release?
Hong
On 09/19/2019 04:55 AM, Jose E. Roman wrote:
> Michael,
>
> In my previous email I should have checked it better. The CISS solver works indeed with dense matrices:
>
> $ mpiexec -n 2 ./ex2 -n 30 -eps_type ciss -terse -rg_type ellipse -rg_ellipse_center 1.175 -rg_ellipse_radius 0.075 -eps_ciss_partitions 2 -mat_type dense
>
> 2-D Laplacian Eigenproblem, N=900 (30x30 grid)
>
> Solution method: ciss
>
> Number of requested eigenvalues: 1
> Found 15 eigenvalues, all of them computed up to the required tolerance:
> 1.10416, 1.10416, 1.10455, 1.10455, 1.12947, 1.12947, 1.13426, 1.13426,
> 1.16015, 1.16015, 1.19338, 1.19338, 1.21093, 1.21093, 1.24413
>
>
> There might be something different in the way matrices are initialized in your code. Send me a simple example that reproduces the problem and I will track it down.
>
> Sorry for the confusion.
> Jose
>
>
>
>> El 19 sept 2019, a las 6:20, hong--- via petsc-users <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>> escribió:
>>
>> Michael,
>> We have support of MatCreateRedundantMatrix for dense matrices. For example, petsc/src/mat/examples/tests/ex9.c:
>> mpiexec -n 4 ./ex9 -mat_type dense -view_mat -nsubcomms 2
>>
>> Hong
>>
>> On Wed, Sep 18, 2019 at 5:40 PM Povolotskyi, Mykhailo via petsc-users <petsc-users at mcs.anl.gov<mailto:petsc-users at mcs.anl.gov>> wrote:
>> Dear Petsc developers,
>>
>> I found that MatCreateRedundantMatrix does not support dense matrices.
>>
>> This causes the following problem: I cannot use CISS eigensolver from
>> SLEPC with dense matrices with parallelization over quadrature points.
>>
>> Is it possible for you to add this support?
>>
>> Thank you,
>>
>> Michael.
>>
>>
>> p.s. I apologize if you received this e-mail twice, I sent if first from
>> a different address.
>>
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