Summary
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.
Clusters
Currently, there are 2 RHEL 8 based clusters in the HPC:
- Markov (cluster for courses)
- Pioneer (cluster for research)
Course Cluster (Markov)
Course groups are created on Markov at the request of faculty using the name of the course (e.g. phys121). Students are added manually by the faculty to the groups using their CaseID. Students will connect via:
The web connection provides both terminal and GUI access and does not require VPN, so it has the lowest barrier to entry.
We have a quick start for students here that may be helpful: https://sites.google.com/a/case.edu/hpcc/hpc-cluster/quickstart#h.gk826c8bijva
Research Cluster (Pioneer)
Faculty who are interested in using the resource should complete the 'HPC Application' form on https://amara2.case.edu.
Research groups are created on Pioneer using the CaseID of the faculty (e.g. abc123). Graduate students and research staff are added manually by the faculty to the groups using their CaseID. Researchers will connect via:
We have a quickstart for researchers here that may be helpful: https://sites.google.com/a/case.edu/hpcc/hpc-cluster/quickstart#h.ha7ne2i5rjbf
Contact
For additional information, please contact:
- hpc-admin@case.edu (administrative correspondence)
- hpc-support@case.edu (user correspondence, integrated with TDX to create tickets)
Documentation
For more information go to HPC Home