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Center for High Performance Computing

Research Computing and Data 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 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.

If you are new to the CHPC, the best place to learn about CHPC resources and policies is our Getting Started page.

Have a question? Please check our Frequently Asked Questions page and contact us if you require assistance or have further questions or concerns.

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...

Analyzing and Predicting Stream Properties

By Milada Majerova and Bethany Neilson

Utah Water Research Laboratory, Utah State University

The stream temperature regime is an important and very complex component of habitat quality. With introducing beaver dams in to the system and thus changing stream hydraulic properties, the processes become even more complicated and difficult to predict. Beaver dams increase spatial and temporal variability in temperature and flow, as well as increase baseflow and groundwater gains during summer months. This variability could play an important role for fish and other aquatic organisms under changing conditions when summers are predicted to be hotter and longer with less precipitation throughout the year. Stream temperature quantification and modeling then becomes an essential tool in order to better understand, predict and manage our stream systems. CHPC resources play an indispensable role in the modeling effort of capturing and predicting the stream hydraulic properties and temperature variability.

System Status

General Environment

last update: 2024-09-16 23:43:02
General Nodes
system cores % util.
kingspeak 676/972 69.55%
notchpeak 2346/3212 73.04%
lonepeak 396/3012 13.15%
Owner/Restricted Nodes
system cores % util.
ash 160/1152 13.89%
notchpeak 14807/22060 67.12%
kingspeak 1576/5340 29.51%
lonepeak 0/416 0%

Protected Environment

last update: 2024-09-16 23:40:04
General Nodes
system cores % util.
redwood 66/616 10.71%
Owner/Restricted Nodes
system cores % util.
redwood 2710/6472 41.87%


Cluster Utilization

Last Updated: 9/3/24