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; multigpu is the alternative partition where more than one GPUs are accessible.

Anyone with a cluster account has access to the gpu partition. However, to access the multigpu partition, you must submit a ServiceNow ticket.

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.