[CP2K-user] [CP2K:17978] Re: GPU support and ELPA

[Ole Schütt]

Hi Amit,

unfortunately, we never manged to eliminate those block size constraints 
from ELPA.
Going forward our hope rests on the new DLA-Future library which should 
arrive in CP2K soon.

-Ole

On Wednesday, November 2, 2022 at 1:22:42 AM UTC+1 Amit Gupta wrote:

> I have finally got the GPU version of CP2K working. However when I run, I 
> get the following warnings:
> ```
>  ELPA: Warning, CUDA kernel only works with block size 2^n (n = 1, 2, ..., 
> 10)!
>  The compute kernel will be executed on CPUs!
>  We recommend changing the block size to 2^n
> ```
>
> There have been discussions here: https://github.com/cp2k/cp2k/issues/464
> I am not sure what was the outcome, but it does say certain commits for 
> closing the issues.
>
> 1. How to define the block size?
> 2. What are other "good practices" for extracting the most out of GPU?
>
> CP2K version: 2022.2
> Configuration:  --with-libxc=install --with-libint=install 
> --with-fftw=install --with-mkl=system --with-libxsmm=install 
>  --with-elpa=install   --with-spla=install   --with-cosma=install 
>
> Thank you--with-intel=system --enable-cuda --gpu-ver=V100 
>  --with-openmpi=system  
>
>

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