This page is intended to give a short overview on known issues and to provide potential solutions and workarounds to the issues seen.
Last update: 2022-12-08
Please, use the support mailing list sup(at)deep-sea-project.eu
to report any issues
To stay informed, please refer to the News page. Also, please pay attention to the information contained in the "Message of the day" displayed when logging onto the system. The system status is reported on ?JSC status as well.
/etc/profile.d/modules.sh
export MODULEPATH=/usr/local/software/skylake/Stages/2022/modules/all/Compiler/sidecompiler/GCCcore/11.2.0:/usr/local/software/skylake/Stages/2022/modules/all/Compiler/GCCcore/11.2.0:/usr/local/software/skylake/Stages/2022/modules/all/Core:/usr/local/software/skylake/Stages/2022/modules/all/MPI:/usr/local/software/skylake/Stages/2022/modules/all/MPI_settings:/usr/local/software/skylake/Stages/2022/modules/all/comm_settings:/usr/local/software/skylake/Stages/2022/modules/all/pkg_settings:usr/local/software/skylake/Stages/2022/UI/Defaults:/usr/local/software/skylake/Stages/2022/UI/Tools:/usr/local/software/skylake/Stages/2022/UI/Compilers:/usr/local/software/skylake/userinstallations:/usr/local/software/skylake/OtherStages:/usr/local/software/skylake/Devel
LD_LIBRARY_PATH
(first for libcuda, second for libcublas, fft, etc.):
ln -s /usr/lib64/libcuda.so.1 . ln -s /usr/lib64/libnvidia-ml.so.1 . LD_LIBRARY_PATH=.:/usr/local/cuda/lib64:$LD_LIBRARY_PATH srun <srun_args> <exe> <exe_args>
nvidia-smi
(or any application trying to use the GPU) leads to
Failed to initialize NVML: Driver/library version mismatch
ml -nvidia-driver/.default
srun --forward-x -p dp-esb -N 1 -n 1 --pty /bin/bash -i ssh -X -J <your account>@deep.zam.kfa-juelich.de <your account>@<the node you received>
nsight-sys
) should start up