9. General Comments
FAIR USAGE POLICY
The following policies are in effect on the GPU Cluster:
User can have two running jobs only, all other jobs will be queued until one of the two jobs completes running
A job that runs for more than four days will be automatically terminated – this is a walltime restriction for taught students – configure checkpoints with your python framework to resume training.
As with all departmental resources, any non-academic use of the GPU cluster is strictly prohibited.
Any users who violate this policy will be banned from further usage of the cluster and will be reported to the appropriate departmental and college authorities.
ICT GPGPU resources
ICT, the central college IT services provider, has approximately one-hundred CX1 cluster nodes which have GPUs installed. It is possible to select and use these computational resources through PBS Pro job specifications.
Students cannot request access to this resource but project supervisors can apply – on behalf of their students – for access to ICT GPU resources run by the Research Computing Service team:
Other resources
If you do not need a GPU for your computation then please do not use the GPU Cluster. You could end up inconveniencing users who do need a GPU.
Please, instead, consider:
The departmental DoC Condor service
The departmental batch servers: