FAQ

SSH sessions limit is 10. Close other connections and try again.

Occurs mainly when connecting from outside the campus. Make sure the VPN is connected and try to SSH to 132.68.39.159 instead.

Resource over-scheduling (for the pending job) or cluster load. See the Workload management and Job and resource limits sections.

If you receive this error on lambda (the login server) – launch the script on a node using Slurm. lambda is a virtual server, has no GPUs and doesn’t have CUDA installed.

If you receive the error on a node:

Add these lines at the end of the .bashrc file in your home folder (~/.bashrc):

export PATH=”/usr/local/cuda/bin:$PATH”
export LD_LIBRARY_PATH=”/usr/local/cuda/lib64:$LD_LIBRARY_PATH”

Save the file, exit the session (or job) and reconnect. Start bash on a node:

srun –pty /bin/bash
and run this command
nvcc -V

You should get CUDA’s version details.