[petsc-users] Turn off CUDA Devices information

[Satish Balay]

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
>