SeaWulf is Stony Brook's general-purpose cluster: hundreds of CPU nodes, high-bandwidth and high-memory nodes, and A100 GPUs, open to the campus community and Brookhaven Lab staff.
Get connected
Open OnDemand
Jupyter, RStudio, MATLAB, a full desktop and 14 more apps, with nothing to install. Sign in with your NetID and Duo.
Launch Open OnDemandSSH
The milan login nodes reach most queues. Use login.seawulf.stonybrook.edu for the 28-core and older GPU nodes, and xeonmax for HBM.
ssh <netid>@milan.seawulf.stonybrook.eduWindows setup, Duo tips and every login address: Connecting to the cluster.
Specifications
| Node type | Details |
|---|---|
| 40-core Intel Skylake | 192 GB memory per node, AVX-512 |
| 96-core AMD EPYC Milan | 256 GB memory per node, AVX2 |
| High-bandwidth memory | Intel Sapphire Rapids, 256 GB DDR5 plus 128 GB HBM (one 1 TB node) |
| A100 GPU nodes | 4 NVIDIA A100 80 GB GPUs per node, 64-core Ice Lake, 256 GB memory |
| High-memory nodes | Up to 3 TB RAM |
| 28-core Intel Haswell | 128 GB memory per node (legacy) |
| Older GPU nodes | K80, P100 and V100 (legacy) |
Which queue?
| Your job | Try this queue |
|---|---|
| A quick test, under 1 hour | debug-40core |
| A few cores, not a whole node | short-40core-shared or short-96core-shared |
| Whole nodes, up to 4 hours | short-40core or short-96core |
| Up to 12 hours | medium-40core or medium-96core |
| Up to 2 days | long-40core or long-96core |
| Up to 7 days, 1 to 2 nodes | extended-40core or extended-96core |
| Needs a GPU | a100, or NVwulf for large AI work |
Every queue, its limits and where to submit it from: Queue selection guide. Or let the job script builder write the script.
Storage
| Space | Size | Backed up | Good to know |
|---|---|---|---|
Home /gpfs/home/<netid> | 20 GB | Yes | Scripts, settings and small files |
Scratch /gpfs/scratch/<netid> | 20 TB | No | Files older than 45 days are deleted |
Project /gpfs/projects/<group> | Up to 10 TB | No | Shared by your group, on request |
Details and how to ask for project space: Storage layout & policies.
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Best suited for
- Physics and climate science
- Bioinformatics and materials science
- Machine learning and AI
- Engineering and data science
Getting access
- Join a projectIf your PI already has a SeaWulf project, open a ticket with the help topic "Request an account for SeaWulf" and include your NetID, your PI's name and the project number.
- Or start one (faculty)Faculty request a project number with a one-page PDF describing the work, computing needs, software, storage and group members.
- Set up Duo, then connectEvery login needs a Duo approval. Then sign in with Open OnDemand or SSH and run your first job.
Related guides
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