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Center for High Performance Computing

Research Computing and Data Support for the University Community

 

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 and data 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, advanced networking, and more.

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Announcing the Upcoming Retirements of Julia Harrison and Anita M. Orendt
Julia Harrison
Julia Harrison

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

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Anita M. Orendt
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.

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Upcoming Events:

CHPC PE DOWNTIME: Partial Protected Environment Downtime  -- Oct 24-25, 2023

Posted October 18th, 2023


CHPC INFORMATION: MATLAB and Ansys updates

Posted September 22, 2023


CHPC SECURITY REMINDER

Posted September 8th, 2023

CHPC is reaching out to remind our users of their responsibility to understand what the software being used is doing, especially software that you download, install, or compile yourself. Read More...

News History...

Data Assimilation for Improving WRF Performance in Simulating Wintertime Thermal Inversions in the Uintah Basin

By Trang Tran, Huy Tran, and Erik Crosman

Utah State University and University of Utah

Meteorological models for simulating atmospheric properties (e.g., temperature and wind) during thermal inversions are important for simulating winter ozone pollution in the Uintah Basin. The Weather Research and Forecasting (WRF) meteorological model supports "observational nudging," i.e., a technique in which the model is biased to conform to available observational data. We recently performed two WRF simulations, one nudged with temperature, wind field, and humidity data, and one without nudging, for the period of Jan 16 to Feb 9, 2013. Contrary to expectations, the nudged model produced an unrealistic inversion structure that was too intense and shallow. It confined most pollutants to only a shallow area at the bottom of the Basin. On the other hand, the non-nudged WRF model tends to produce a weaker, deeper inversion layer and produced too much vertical mixing.

System Status

General Environment

last update: 2021-06-10 08:53:04
General Nodes
system cores % util.
kingspeak Status Unavailable
notchpeak Status Unavailable
lonepeak Status Unavailable
Owner/Restricted Nodes
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ash Status Unavailable
notchpeak Status Unavailable
kingspeak Status Unavailable
lonepeak Status Unavailable

Protected Environment

last update: 2021-06-10 08:50:02
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system cores % util.
redwood Status Unavailable
Owner/Restricted Nodes
system cores % util.
redwood Status Unavailable


Cluster Utilization

Last Updated: 12/17/24