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CHPC — Research Computing and Data Support for the University Community

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Research Computing and Data Support for the University Community

Welcome to the Center for High Performance Computing (CHPC) at the University of Utah. The CHPC is the university community’s home for research computing and data. Our vision is to support the ever-increasing—and increasingly diverse—computing needs of researchers. Whether you’re studying the structure and function of proteins, analyzing patterns in the formation of sea ice, or examining speech in audio recordings, the CHPC is here to help.

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Upcoming events

 

Recent updates

 

Complete: Slurm upgrade scheduled for Tuesday, May 13

A Slurm upgrade scheduled for May 13 will briefly affect job submission on all clusters. This maintenance was previously scheduled for May 1.

Complete: Open OnDemand upgrade with service disruption on Saturday, April 19, at 9:00 p.m.

There will be a brief ondemand.chpc.utah.edu service disruption, which we expect to last about 10 minutes, at 9:00 p.m. MDT on Saturday, April 19.

Complete: Downtimes on March 16 and March 25–26

Downtimes on March 16 (Sunday) and March 25–26 (Tuesday–Wednesday), 2025 are related to infrastructure upgrades and maintenance.

Retirement of Julia Harrison

After nearly four decades of dedicated service at the University of Utah, Julia Harrison retired as the Operations Director of the Center for High Performance Computing.

Retirement of Anita M. Orendt

Anita M. Orendt is a dedicated educator and researcher with a rich background in physical chemistry. Anita has made significant contributions to the academic community at the University of Utah.

Featured research

 

 

Molecular Level Study of Epitope Mimicry Leading to Onset of Type 1 Diabetes

Research by Ryan Gardner1, Joshua Wilkins2, Sejal Mistry3, Ram Gouripeddi3,4, and Julio C. Facelli3,4

1Weber State University, 2North Carolina A&T, 3University of Utah Department of Biomedical Informatics, 4Utah Clinical and Translational Science Institute

Ryan Gardner, Joshua Wilkins, Sejal Mistry, Ram Gouripeddi, and Julio C. Facelli studied 35 potential molecular mimics that exhibited sequence homology. The team calculated their structures, electrostatic properties, and hydrophobicity to gain a better understanding of their characteristics and relation to the onset of Type 1 Diabetes.
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If you have any questions or would like to chat about our services, please get in touch. Our dedicated team of scientists and engineers, system administrators, network engineers, software developers, security professionals, and students is always willing to help.
Last Updated: 5/8/25