Hong, do you have in mind a reason why the newer version should work or is it a general recommendation?
Which stable version would you recommend to upgrade to? Thank you, Michael. On 09/19/2019 02:22 PM, Zhang, Hong wrote: 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@mcs.anl.gov<mailto:petsc-users@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@mcs.anl.gov<mailto:petsc-users@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. >>
