One extra comment from me is that I think you and John diagnosed the
initial issue correctly, it is that you are using LAPACK for the SCM
eigenproblems, and that uses dense matrices. As a result it doesn't scale
well to larger problems.
I recall that I set LAPACK as the default for SCM because I h
On Tue, Apr 12, 2022 at 8:47 AM 강다영 wrote:
> Hello,
> Thank you for all your information and suggestions.
>
> You're right that I was using a LAPACK-based solver.
> As you recommended, I first tried to use another solver other than LAPACK,
> and I ended up with a convergence error in SCM.
>
> So
Hello,
Thank you for all your information and suggestions.
You're right that I was using a LAPACK-based solver.
As you recommended, I first tried to use another solver other than LAPACK,
and I ended up with a convergence error in SCM.
So second, I performed a mesh convergence study to see if furt
Hello,
I don't think there is an easy fix for an "overflow" issue like this. The
first step would be to check why we need the "Product of two integer 317065
317065" for the SCM case, and to see if there is a way to avoid that.
Unfortunately I don't have time to look into this myself, though. Coul
On Fri, Apr 8, 2022 at 8:25 AM 강다영 wrote:
> Dear all,
>
> I have a question about the overflow error I met during the SCM training in
> Libmesh.
>
> For the training, I used the mesh model with a degree of freedom of
> 318,021.
> And I got an error message as below:
>
> [0]PETSC ERROR: --
