Hi Philip,
Sorry to be a bit late in my reply. Jed has explained the gist of what's
involved with using the Kokkos/Kokkos-kernels back-end for the PETSc
solves, though, depending on exactly how Xolotl creates its vectors,
there may be a bit of work required to ensure that the command-line
Please keep on list,
On Thu, Feb 17, 2022 at 12:36 PM Bojan Niceno <
bojan.niceno.scient...@gmail.com> wrote:
> Dear Mark,
>
> Sorry for mistakenly calling you Adam before.
>
> I was thinking about the o_nnz as you suggested, but then something else
> occurred to me. So, I determine the d_nnz
On Thu, Feb 17, 2022 at 11:46 AM Bojan Niceno <
bojan.niceno.scient...@gmail.com> wrote:
> Dear all,
>
>
> I am experiencing difficulties when using PETSc in parallel in an
> unstructured CFD code. It uses CRS format to store its matrices. I use
> the following sequence of PETSc call in the
Dear all,
I am experiencing difficulties when using PETSc in parallel in an
unstructured CFD code. It uses CRS format to store its matrices. I use
the following sequence of PETSc call in the hope to get PETSc solving my
linear systems in parallel. Before I continue, I would just like to say
On Thu, Feb 17, 2022 at 7:01 AM Bojan Niceno <
bojan.niceno.scient...@gmail.com> wrote:
> Dear all,
>
> I am coupling my unstructured CFD solver with PETSc. At this moment,
> sequential version is working fine, but I obviously want to migrate to MPI
> parallel. My code is MPI parallel since
Dear all,
I am coupling my unstructured CFD solver with PETSc. At this moment,
sequential version is working fine, but I obviously want to migrate to MPI
parallel. My code is MPI parallel since ages.
Anyhow, as a part of the migration to parallel, I changed the matrix type
from MATSEQAIJ to
Thanks sir.
I now modify my code into following.
Everything works good.
-
// stage 1:
Vec x1, b2;
Vec x1, b2;
Mat A, P, F;
PC pc;
// solve first system
MatCreateAIJ(A, ...)
MatSetVaules(A, ...)
MatAssembleBegin(A, ...)
MatAssembleBegin(A, ...)
Please always respond to the list.
Yes, those lines are not needed every time, just the first one. Anyway, they do
not imply a big overhead.
Jose
> El 17 feb 2022, a las 11:45, 459543524 <459543...@qq.com> escribió:
>
> Thanks for your reply sir.
>
> I now can reuse the sparsity pattern.
>
Since version 3.5, KSPSetOperators() will check if the passed matrix has the
same sparse pattern as the previously set one, so you don't have to do anything.
The list of changes in version 3.5 has this note:
"KSPSetOperators() no longer has the MatStructure argument. The Mat objects now
track
Dear Koki,
Many thanks for your help and sorry for the slow reply.
I haven't been able to get it to work successfully. I have attached a
small example that replicates the main features of our code. In this
example a Box with one random field is generated, saved and loaded. The
case works for
Sir, I have a problem when using petsc.
I want to solve a series of linear equations.
A1*x1=b1, A2*x2=b2, A3*x3=b3 ...
The A1,A2,A3 have the same sparstiy pattern.
I want to use MUMPS to solve the system.
In order to enhance performance, I want to reuse the symbolic factorization.
Here
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