Strelka, Swarthmore’s new computer cluster, is up and running and ready to run computationally-intensive jobs.
The cluster consists of 7 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 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.
To learn more about the system and obtain a login account, please get in touch with us at email@example.com.
Special thanks to Physics and Astronomy Professors Tristan Smith and Jesse Rivera, Engineering Professor Vidya Ganapati, Swarthmore’s KIVA grant, and the Provost’s Office for their financial contributions to the computing cluster.
See the ITS help site for more information about high performance computing resources available to Swarthmore researchers. As always, if you have questions or ideas, please get in touch with your Academic Technologist.
Image from Institute of Biomedical Problems