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Summary
Clipper is now available for classroom use, primarily for teaching rather than research. This allows students to gain hands-on experience using an HPC environment.
Allocated Resources
Students have access to a dedicated class
partition with the following total resources:
- 80 CPUs
- 2 GPUs
- 1.5 TB of memory
Each student may submit jobs with a maximum of:
- 8 CPUs
- 1 GPU
- 64 GB of memory
If a student submits a single job that requests more than the specified limits, it will be automatically rejected by Slurm.
Jobs from the same user are managed such that their combined resource usage cannot exceed the per-job limits. If multiple jobs collectively exceed these limits, they will queue and execute sequentially as resources free up.
When all available class
partition resources are being used, any additional job submissions will be queued until sufficient resources become available. For example, if both GPUs are currently in use, newly submitted jobs requesting a GPU will queue until the previous submissions finish.
Accessing the HPC Cluster
If you are connected to the student wifi you will need to be on the VPN.
To access the cluster for classwork, use the provided login link. After signing in, you will see a tile on the main screen that looks like this:
Click on the tile to open a new screen, where you can log in to the cluster using SSH.
Submitting a Job
Refer to this knowledge base article Submitting a job for instructions on submitting a basic job. Be sure to change the partition setting to class instead of short.
Students will be unable to submit to other partitions available on Clipper. If a student attempts to submit to a partition other than class
, they will receive the following error message from Slurm:
sbatch: error: Batch job submission failed: Invalid account or account/partition combination specified
File Management
To upload or download files from the cluster, click on the file management tile on the main screen:
This will open a new window where you can use the top menu bar to upload, download, or delete files as needed.