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The UMBC High Performance Computing Facility is the community-based, interdisciplinary core facility for scientific computing and research on parallel algorithms at UMBC. Started in 2008 by more than 20 researchers from ten academic departments and research centers from all academic colleges at UMBC, it is supported by faculty contributions, federal grants, and the UMBC administration.

Since HPCF’s inception, over 400 users have benefited from its computing clusters, including undergraduate and graduate students. The users have generated over 400 publications, including 150 papers in peer-reviewed journals (including Nature, Science, and other top-tier journals in their fields), 50 refereed conference papers, and 50 theses. The facility is open to UMBC researchers at no charge.

Researchers can contribute funding for long-term priority access. Administration and maintenance is provided by the UMBC Division of Information Technology (DoIT) advised by the faculty-run Shared Infrastructure Governance committee, and users have access to consulting support provided by dedicated team organized under the Research Computing Group of DoIT.

The UMBC HPCF currently consists of one HPC cluster, chip .

Latest HPCF News

February 24, 2026 Scheduled Downtime Concluded

To all chip users, The scheduled downtime for today has concluded. A few compute nodes are still in the "drain" state. This is expected as the system slowly reboots all compute notes not...

Posted: February 24, 2026, 5:38 PM

Storage System Performance Update

To all chip users, The DoIT Research Computing & Data (RCD) Team is aware of the storage system performance issues that have impacted the chip cluster since earlier this month. For some...

Posted: February 20, 2026, 5:22 PM

Scheduled Downtime Tuesday February 24, 2026

To all chip users, The chip cluster will be inaccessible for a few hours starting on Thursday Feb 24th at 0800ET. This downtime is to patch a security vulnerability recently reported by slurm....

Posted: February 17, 2026, 5:40 PM

Scale-Up: The HPC & AI Tutorial Series

From access to AI master the chip HPC within one semester

All sessions in hybrid: ENGR 102 for in-person session and online via WebEx 1300ET - 1400ET 1400ET - 1430ET for Office Hours The Center for Scalable Data and Computational Science (ScaleS),...

Posted: February 11, 2026, 5:11 PM

Read/Write of Files on chip Back to Normal

All chip users, The I/O performance issues experienced by many users earlier today have been resolved. We apologize for any lost time and impacts to productivity. Please resume normal...

Posted: February 9, 2026, 8:24 PM