CHPC - Research Computing Support for the University

In addition to deploying and operating high performance computational resources and providing advanced user support and training, CHPC serves as an expert team to broadly support the increasingly diverse research computing needs on campus. These needs include support for big data, big data movement, data analytics, security, virtual machines, Windows science application servers, protected environments for data mining and analysis of protected health information, and advanced networking.

New version of FastX -- FastX2 -- now available

We now have a new version of FastX servers  – FastX2 – installed on all CHPC interactive nodes and on the frisco nodes. There is a new FastX2 documentation page with details of both getting the new client and how to use . We strongly suggest that users start to migrate to the new FastX2 servers/clients by starting all new sessions with FastX2 so that as you finish work in any currently existing sessions in FastX you can close them, as we are seeing fewer issues with sessions hanging and not being accessible.

CHPC research highlights for CASC brochure

 If you are interested in contributing, please contact and we can meet to discuss.

Posted: 5/1/2015

Allocation on the general allocation pool for the Summer 2015 quarter (July 1 - Sept 30) are due by Monday, June 1st, 2015. If you are in your final quarter of an existing CHPC allocation you will also receive an email letting you know that it is time for you to submit an allocation renewal request. For more details about this process, please refer to the Allocation Policy.

Virtual School of Computational Science and Engineering Summer School

posted: 4/17/2015

We are happy to announce that we will again be one of about ten sites nation wide webcasting this year's Virtual School of Computational Science and Engineering Summer School classes.

For more information and to register, please visit the following links:

Performance Tuning: 8/17-21

Science Visualization: 8/24-25

News History...

CHPC Resources Aid Study of Massive Galaxies

University of Utah astronomers are using CHPC parallel computing resources to study galaxy evolution and cosmology. Adam Bolton, assistant professor in the department of Physics and Astronomy, and his research group are members of the Baryon Oscillation Spectroscopic Survey (BOSS) project within the international Sloan Digital Sky Survey III (SDSS-III) collaboration.  BOSS is currently building the largest ever three-dimensional map of galaxies using a 2.5-meter telescope at Apache Point Observatory (APO) in New Mexico.  Researchers are measuring the statistical patterns within this map in order to understand the nature of the mysterious “dark energy” that seems to be accelerating the expansion rate of the universe. Kyle Dawson, another member of the University’s Department of Physics and Astronomy, is also heavily involved in the BOSS project.

System Status

last update: 05/22/15 5:38 pm
General Nodes
system procs % util.
ember 936/948 98.73%
kingspeak 832/832 100%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 4868/6316 77.07%
apexarch 36/116 31.03%
ember 636/744 85.48%
kingspeak 2392/3432 69.7%
lonepeak 672/672 100%

Cluster Utilization