Reference
Last updated on 2026-08-27 | Edit this page
Storage Locations
Checking Quotas
Check your home directory quota:
Output example:
Filesystem used quota limit grace
/rhome/afrancis 2.4G 25G 27.5G
/bigdata/lab/neuroscience 145G 1.0T 1.1T
File Transfer Commands
SCP (Secure Copy) - Simple Point-to-Point
Download from Sagehen HPC to your computer:
Upload to Sagehen from your computer:
Copy entire directories (recursive):
Rsync - Efficient Incremental Sync
Rsync only transfers changed files and is ideal for large datasets.
Basic sync (one-way, local to Sagehen):
Sync with deletion (mirror):
Sync from Sagehen to local (download):
BASH
rsync -av --progress afrancis@sagehen.hpc.pomona.edu:/bigdata/lab/neuroscience/results/ ./local_results/
Common flags: - -a : Archive mode
(preserves permissions, timestamps, symlinks) - -v :
Verbose output - --progress : Show progress during transfer
- --delete : Delete files on destination that don’t exist
on source - --exclude='*.tmp' : Exclude file patterns -
-e 'ssh -p 22' : Specify SSH port (if non-standard)
SFTP (Interactive File Transfer)
Using FileZilla (GUI): 1. Host:
sagehen.hpc.pomona.edu 2. Protocol: SFTP 3.
Port: 22 4. Username: Your Pomona AD username 5. Password:
Your Pomona AD password (or SSH key) 6. Click “Quickconnect”
Using command-line SFTP:
Common SFTP commands:
ls # List remote files
pwd # Print remote working directory
cd /rhome/afrancis # Change remote directory
get filename # Download file
put filename # Upload file
mget *.txt # Download multiple files
mput *.txt # Upload multiple files
exit # Close connection
Rclone - Cloud & Remote Sync
Rclone can sync files between Sagehen, cloud storage (Google Drive, Dropbox, AWS S3, etc.), and your local machine.
Configure Sagehen as a remote (one-time setup):
Select: - Name: sagehen - Type: sftp -
Host: sagehen.hpc.pomona.edu - User: Your username - Port:
22 - Ask for password: false (if using SSH
keys)
Sync from Google Drive to Sagehen:
Sync from Sagehen to AWS S3 (backup):
Dry-run to see what would be transferred:
Data Archiving
Monitoring Transfers
Storage Best Practices Quick Tips
-
Use
/scratch/for large intermediate files during jobs: they’re fast and automatically cleaned up -
Move results to
/bigdata/or/rhome/before the job ends to preserve them - Archive old projects to compress them and reduce quota usage
- Use rsync for large transfers: it’s resumable if interrupted
-
Check quotas regularly with
quota -sto avoid running out of space - Back up important data locally: Sagehen has weekly snapshots but aren’t a substitute for backups
Contact Information
- HPC Support: its-hpc@pomona.edu
- OnDemand: https://ondemand.hpc.pomona.edu/
- Cluster Status: Check email or contact support for maintenance windows
- Emergency Issues: its-hpc@pomona.edu (include error messages and job IDs)