[petsc-users] Turn off CUDA Devices information
Satish Balay
balay at mcs.anl.gov
Mon Sep 27 20:43:07 CDT 2021
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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