Swarthmore ITS provides access to high performance computing systems for computationally intensive projects. There are several different types of systems that are available for faculty, staff, and students. Academic Technologists from ITS will work with you to figure out what resource would best match your project.
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Strelka Computer Cluster
Campus researchers have access to Strelka, Swarthmore's computer cluster. Learn more about the system on the /wiki/spaces/ACADTECH/pages/20910101 page.
Technical Specifications
The cluster consists of 7 8 nodes, each with two 20-core CPUs with an additional head node to handle user logins and job scheduling.
- 3 mid-memory nodes (384GB RAM)
- 2 3 high-memory nodes (768GB RAM)
- 2 GPU nodes, each with 4x NVIDIA 2080 Ti GPUs
- High speed Infiniband networking
Jobs are submitted through the Slurm job scheduling system.
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