The UTech High Performance Computing service at CWRU provides stable, multi-purpose, high performance computational resources that enables the modeling and simulation of various science, engineering, medical, and social computational research by allowing users to run many single or parallel jobs.
The HPC is a critical resource for an expanding spectrum of research. It enables investigators to solve large-scale, data intensive, advanced computational problems on topics across the disciplinary fields faster, more accurately, and more efficiently.
Currently, there are 3 main clusters on the HPC: Rider (Research cluster, based on RHEL 7), Markov (cluster for courses), and Pioneer (Research cluster, based on RHEL 8).
Faculty who are interested in using the resource should complete the 'HPC Application' form on https://amara.case.edu.
For additional information, please contact: hpc-support@case.edu.