I have attached a minimal example, although it does have a dependency on
the GSL library (sorry for this). The script mwe.sh shows how I am
running the program with the various command line arguments. The program
will write the computed eigenvectors to an output file called 'evec' in
GNU octave
> On Sep 8, 2022, at 8:38 PM, Park, Heeho via petsc-users
> wrote:
>
> Hi PETSc Developers,
>
> I am having trouble compiling with the --download-hdf5-fortran-bindings=yes
> option on Sandia’s HPC system.
> It compiles with make version 3.82, but fails to compile with make version
> 4.2.1
> On Sep 8, 2022, at 1:47 PM, Tu, Jiannan wrote:
>
> Barry,
>
> Thank you very much.
>
> DMDASetBlockFills() needs two input arrays specifying sparsity pattern. In my
> case, I have 26 components at each grid. Is it correct that I need to have
> two arrays of 26x26 elements with value 1 f
Barry,
Thank you very much.
DMDASetBlockFills() needs two input arrays specifying sparsity pattern. In my
case, I have 26 components at each grid. Is it correct that I need to have two
arrays of 26x26 elements with value 1 for coupling and 0 for no coupling? Also
how to determine when the valu
It sounds like the PETSc inside your container was not built with
--download-hdf5 (or --with-hdf5). That can be fixed by updating the Dockerfile
and rebuilding the image.
Quentin Chevalier writes:
> Hello PETSc users !
>
> I'm trying to use PETSc routine to read and write complex vectors to bi
On Thu, Sep 8, 2022 at 7:44 AM Quentin Chevalier <
quentin.cheval...@polytechnique.edu> wrote:
> Hello PETSc users !
>
> I'm trying to use PETSc routine to read and write complex vectors to
> binary files in parallel.
>
> I'm using dolfinx and petsc4py inside a docker container. My end goal is
> t
Hello PETSc users !
I'm trying to use PETSc routine to read and write complex vectors to binary
files in parallel.
I'm using dolfinx and petsc4py inside a docker container. My end goal is to
write a dolfinx Function object to file, then read it again.
My current code goes something like :
viewer