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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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Our services

 

Upcoming events

 

Recent updates

 

Slurm upgrade with service disruption on Thursday, May 1

There will be a brief window during which job submission on redwood, granite, notchpeak, kingspeak, and lonepeak will not work on May 1.

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.

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

 

 

Uncovering Radio Signals from Distant Cosmic Explosions with CHPC

Research by Tanmoy Laskar, Department of Physics and Astronomy, University of Utah

The MeerKAT observatory in South Africa is a cutting-edge radio telescope that combines 64 individual dishes into a single, highly sensitive instrument. Radio interferometry, as employed by MeerKAT, presents significant computational challenges, as the data volume scales with the square of the number of antennas. Analyzing such vast datasets requires advanced techniques, including automatic data editing using statistical methods, calibration (solving eigenvalue problems and performing matrix inversions), and image reconstruction (Fourier transformation and image-domain deconvolution); Dr. Tanmoy Laskar of the Department of Physics and Astronomy uses Center for High Performance Computing resources for such computations.
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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: 2/24/25