[CP2K-user] [CP2K:14156] Re: GPU testruns fails with: CUDA driver version is insufficient for CUDA runtime version
sassy... at sassy.formativ.net
Tue Nov 3 22:14:04 UTC 2020
thanks for the feedback. I actually was searching the internet and the list
here (my archive does go back a few years) without luck.
There was a reason why asked here as well: When you are using the toolchain
you need to supply which type of GPU card you have, like the V100 for example
in my case (see a recent posting of me). Thus, it could be that there is a
problem with that specific tuning. It was a shot into the dark and I missed
In any case, thanks for your help!
All the best from a cold London
Am Montag, 2. November 2020, 09:16:26 GMT schrieb Alfio Lazzaro:
> Hi Jörg,
> This problem seems unrelated to CP2K...
> Have you tried to google that message?
> I found some entries:
> Any many others.... It seems a problem with the driver installation, people
> recommend to uninstall/reinstall...
> Il giorno lunedì 2 novembre 2020 alle 00:23:32 UTC+1 sassy ha scritto:
> > Dear all,
> > over the weekend I had access to a GPU test machine so I could compare the
> > performance between a RTX-6000 and a A100 GPU card.
> > I have installed the following CUDA drivers:
> > $ nvidia-smi
> > NVIDIA-SMI 450.80.02 Driver Version: 450.80.02 CUDA Version: 11.0
> > I am using GCC-9.3.0 with CUDA-11.0.2
> > I am using the toolchain with the following commands:
> > $ ./install_cp2k_toolchain.sh -j 12 --no-check-certificate --libint-lmax=6
> > --
> > with-cmake=system --with-libxc --with-libint --with-fftw=system --with-
> > openblas=system --with-libxsmm --with-parmetis --with-superlu --with-quip
> > --
> > with-plumed --with-gsl --with-libvdwxc --with-spglib --with-hdf5
> > --with-spfft
> > --with-scalapack=system --gpu-ver=V100 --with-elpa=no --with-sirius=no
> > (I had problems with the ELPA and SIRIUS build, hence I disabled them).
> > Running the test jobs, *all* of them fail with:
> > "CUDA driver version is insufficient for CUDA runtime version"
> > The box has both cards installed and I am masking one with the
> > CUDA_VISIBLE_DEVICES
> > environment variable.
> > I am puzzled of where I am getting wrong. Yesterday I tried it with both,
> > the
> > A100 and the RTX-6000 card using most of the above modules being installed
> > on
> > the system via EasyBuild, today I only tested the RTX-6000 card.
> > Does anybody has a good idea? I don't have the box for much longer, as I
> > said,
> > it is only a test environment I got access granted to.
> > Thanks for your help!
> > All the best from a mild London
> > Jörg
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