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.
See also
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) |
---|---|---|---|---|---|
|
No |
4/8 |
4/100 |
1 |
4 |
|
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.