High Performance Computing
- Service Overview
- Eligibility & Costs
- Support, How-To’s & Info
- Internal
The University of Arizona offers free high performance computing resources in the Research Data Center (RDC), a state-of-the-art facility that hosts large computer clusters. Scientific research relies upon such systems to analyze massive amounts of collected data.
Free: Time on these systems is available at no charge to any faculty, researcher, or student who has a use for HPC systems.
Buy-In: Researchers may also buy in to these systems to receive high-priority access. Contact hpc-consult@list.arizona.edu for more information.
Colocation: Researchers may also have their own servers housed in a secured, monitored environment. See Research Computing Colocation.
Leverage these resources in your grant applications. See Grant Resources for more information.
Computer System Features
Several HPC clusters support different research computing needs whether it is for hundred's of small jobs that only use a few cores each, or very large jobs using hundreds of cores or terabytes of memory. Or anything in between. There are also many nodes with Nvidia GPU's.
Details are available at Compute Resources.
Services
- A web interface to the cluster offers a file browser, a graphical desktop, and the Jupyter notebooks and RStudio applications
- An account management portal which lets you manage your account and request services
- Workshops and training in a range of HPC subjects from Introductory HPC to MPI
You must have an HPC account to use the Research Data Center services. Log in at https://account.arizona.edu, go to Manage your Accounts, and choose High Performance Computing. You can find more information about getting started at HPC Documentation.
HPC Software Install Request
Request software to be installed on the HPC systems in the UA Research Data Center
- UA students, faculty, or staff with research computing needs are eligible to use all of the systems in the Research Data Center.
- The systems are research resources intended for testing and running large programs, parallel-processing code, visualizations, and scientific applications. The newest system is limited to research applications as defined in Section B-14 of Statute 42-5061 by the Arizona Legislature.
- Currently, Ocelote and El Gato can be used for teaching and research applications.
- A portion of the HPC 2020 purchase is available to departments not classified as "research" by the statute. Please contact hpc-consult@list.arizona.edu with any questions.
Time is available on the RDC systems free of charge for all UA researchers, faculty, students, and staff.
Contact the hpc-consult@list.arizona.edu for information on buy-in.
Contact the High Performance Computing Consulting Team
Service Documentation
External Documentation
HPC/HTC Documentation on Confluence |