[petsc-users] Turn off CUDA Devices information

[Satish Balay]

This verbose message comes from superlu_dist (when built with cuda)

I'm not sure how to disable it [without going into the code and commenting out the code that does this]

balay at sb /home/balay/git-repo/github/superlu_dist (maint=)
$ git grep 'CUDA version'
SRC/cublas_utils.c:    printf("CUDA version:   v %d\n",CUDART_VERSION);


Satish

On Tue, 28 Sep 2021, Yiyang Li wrote:

> 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
> > >
> >
> >
>