CSUSB High Performance Computing
Through the CSUSB High Performance Computing Program (HPCP), our faculty, students and staff can use the high performance computing resources at the supercomputing centers listed below. All faculty and student projects that can use these resources are welcome and can begin immediately.
How to start
Please contact the HPCP Faculty Fellow Dr. Youngsu Kim, if you are interested in the program or would like to submit a project. Please utilize the following resources depending on your project and class.
- CSUSB JupyterHub: No registration required. See this page for more details
- The National Research Platform (NRP)
- The Extreme Science and Engineering Discovery Environment (XSEDE)
Note: The XSEDE program ended in 2022. We will update information about its successor ACCESS (Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support) soon.
Anyone with Coyote ID can access our JupyterHub immediately. For the NRP and XSEDE, each requires a different level of information to start. Please click the server names for details.
Additional CSUSB resources
- Data Analytics Working Group for data analytics information and resources. They hold working hours to help the campus and community with questions related to data analytics.
HPC Work at CSUSB
An example of a recent HPCP project is Benson and Pamela Harer Fellow in Egyptology Dr. Kate Liszka's and Robert and Frances Fullerton Museum of Art's research Egyptologist and educator Bryan Kraemer's interactive 3D model of a large archaeological site in southeastern Egypt, Wadi el Hudi, created from 91,000 still images:
Acknowledgements
We put our best effort into supporting the high performance computing at California State University San Bernardino. When you have any results or outcomes utilizing the HPC resources, please consider including the appropriate acknowledgment(s).
- Appropriate for all users:
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This [research | presentation] was supported in part by the high performance computing resources provided by (ITS or Information Technology Services) [and | or] (ATI or Academic Technologies & Innovation) at California State University San Bernardino.
- If you wish to additionally acknowledge an individual or individuals who helped you with high-performance computing, the suggested format is:
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We thank the High Performance Computing Program team at California State University San Bernardino, especially [specialist’s name(s)] for [his/her/their support/help/assist] with [describe tasks accomplished].
- If your project(s) utilized the Pacific Research Platform (PRP) servers, include the following (CSUSB JupyterHub users need to include this):
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This work was supported in part by NSF awards CNS-1730158, ACI-1540112, ACI-1541349, OAC-1826967, OAC-2112167, CNS-2120019, the University of California Office of the President, and the University of California San Diego’s California Institute for Telecommunications and Information Technology/Qualcomm Institute. Thanks to CENIC for the 100Gbps networks.
Please inform us of your publications or presentations.
Team members
- Dr. Sam Sudhakar, ITS Vice President and Chief Information Officer
- Dr. Bradford Owen, Interim AVP for Faculty Development and Chief Academic Technologies Officer
- James MacDonell, ITS HPC Consultant
- Dr. Dung Vu, ITS HPC Consultant
- Dr. Youngsu Kim, HPC Faculty Fellow and Assistant Professor of Mathematics