GPUs on the HPC

This page covers the Graphics Processing Unit (GPU) resources available on the cluster.

The gpu partition is the general GPU resource for HPC users looking to use a GPU; multigpu is the alternative, where more than one GPU are accessible.

Anyone with a cluster account has access to the gpu partition. However, you must submit a ServiceNow ticket requesting temporary access to multigpu provided sufficient need and preparation.

Note

When working with shared computational resources, it is important to remember not to leave the jobs idle.

Name

Requires Approval?

Time in Hours (Default/Max)

Submitted Jobs

GPU per Job Limit

User Limit (No. GPUs)

gpu

No

4/8

4/100

1

4

multigpu

Yes

4/24

8/100

8

8

Important

Consider the compatibility of the GPU, as some programs do not work on the older k40m or k80 GPUs.

Execute the following command to display the non-Kepler GPUs that are available:

sinfo -p gpu –Format=nodes,cpus,memory,features,statecompact,nodelist,gres

This indicates the state (idle or not) of gpu-types and could be helpful to find one that is idle. However, the command does not give real-time information of the state and should be used carefully.