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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. Visit our Getting Started page for more information.

Clean Coal: Powered by Exascale

By Philip J. Smith and Michal Hradisky, CCMSC

The mission of the Carbon-Capture Multidisciplinary Simulation Center (CCMSC) at the University of Utah is to demonstrate the use of exascale uncertainty quantification (UQ) predictive simulation science to accelerate deployment of low-cost, low-emission electric power generation to meet the growing energy needs in the United States and throughout the world. The two main objectives, advancing simulation science to exascale with UQ-predictivity in real engineering systems and use of high-performance computing (HPC) and predictive science to achieve a societal impact, are linked together through an overarching problem: simulation of an existing 1,000 MW coal-fired ultra-supercritical (USC) boiler and simulation of a design 500 MW oxy-coal advanced ultra-supercritical (AUSC) boiler.

Read the full article in the newsletter

System Status

General Environment

last update: 2018-09-19 05:03:02
General Nodes
system cores % util.
ember 396/984 40.24%
kingspeak 856/880 97.27%
notchpeak 928/928 100%
lonepeak 1092/1112 98.2%
Owner/Restricted Nodes
system cores % util.
ash 6004/7280 82.47%
notchpeak 832/832 100%
ember 692/1220 56.72%
kingspeak 4640/7324 63.35%
lonepeak 400/400 100%

Protected Environment

last update: 2018-09-19 05:00:05
General Nodes
system cores % util.
redwood 32/500 6.4%
Owner/Restricted Nodes
system cores % util.
redwood 672/1872 35.9%

Cluster Utilization

Last Updated: 9/18/18