[petsc-users] Turn off CUDA Devices information

[Yiyang Li]

Yes, I do have superlu_dist built with petsc.
The command I used for launching simulation is

mpiexec  --mca btl self,vader,tcp
               -np 4  python3 .../main.py ./input_ls
               -pc_type lu -pc_factor_mat_solver_type superlu_dist
-pc_asm_type basic -cuda_device NONE

On Mon, Sep 27, 2021 at 6:43 PM Satish Balay <balay at mcs.anl.gov> wrote:

> Do you have petsc built with superlu_dist?
>
> Satish
>
> On Mon, 27 Sep 2021, Yiyang Li wrote:
>
> > Hello,
> >
> > I have CUDA aware MPI, and I have upgraded from PETSc 3.12 to PETSc
> 3.15.4
> > and petsc4py 3.15.4.
> >
> > Now, when I call
> >
> > PETSc.KSP().solve(..., ...)
> >
> > The information of GPU is always printed to stdout by every MPI rank,
> like
> >
> > CUDA version:   v 11040
> > CUDA Devices:
> >
> > 0 : Quadro P4000 6 1
> >   Global memory:   8105 mb
> >   Shared memory:   48 kb
> >   Constant memory: 64 kb
> >   Block registers: 65536
> >
> > CUDA version:   v 11040
> > CUDA Devices:
> >
> > 0 : Quadro P4000 6 1
> >   Global memory:   8105 mb
> >   Shared memory:   48 kb
> >   Constant memory: 64 kb
> >   Block registers: 6553
> >
> > ...
> >
> > I wonder if there is an option to turn that off?
> > I have tried including
> >
> > -cuda_device NONE
> >
> > in command options, but that did not work.
> >
> > Best regards,
> > Yiyang
> >
>
>
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