CHPC - 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, and advanced networking.
If you are new to CHPC, the best place to start to get more information on CHPC resources and policies is our Getting Started page.
Upcoming Events:
CHPC Downtime: Tuesday March 5 starting at 7:30am
Posted February 8th, 2024
Two upcoming security related changes
Posted February 6th, 2024
Allocation Requests for Spring 2024 are Due March 1st, 2024
Posted February 1st, 2024
CHPC ANNOUNCEMENT: Change in top level home directory permission settings
Posted December 14th, 2023
CHPC Spring 2024 Presentation Schedule Now Available
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...
Enabling Innovation in Numerical Prediction of High-Impact Weather Systems
By Zhaoxia Pu
Department of Atmospheric Sciences, University of Utah
Along with the rapid advancement in computer technology, numerical weather prediction (NWP) has become a central component of modern weather forecasting. In the United States, daily weather forecasting begins with a supercomputer at the National Oceanic and Atmospheric Administration in Washington, DC. Around the world, most countries use NWP as key guidance for their operational weather prediction.
At the University of Utah, high-performance computing has wholly or partially supported essential research projects on NWP with innovative science and technology advancements. Dr. Zhaoxia Pu, professor of the Department of Atmospheric Sciences, and her research group devote studies to improving numerical prediction and understanding of high-impact weather systems, including tropical cyclones, hurricanes, mesoscale convective systems, mountainous fog, and flows over complex terrain. For most of the research, hundreds and sometimes thousands of CPU processors are used for a single set of numerical experiments.
Read more in the Fall 2018 newsletter.
System Status
General Environment
| General Nodes | ||
|---|---|---|
| system | cores | % util. |
| kingspeak | 712/972 | 73.25% |
| notchpeak | 3080/3212 | 95.89% |
| lonepeak | 2996/3140 | 95.41% |
| Owner/Restricted Nodes | ||
| system | cores | % util. |
| ash | 1152/1152 | 100% |
| notchpeak | 17906/18328 | 97.7% |
| kingspeak | 1277/5340 | 23.91% |
| lonepeak | 0/416 | 0% |
Protected Environment
| General Nodes | ||
|---|---|---|
| system | cores | % util. |
| redwood | 40/616 | 6.49% |
| Owner/Restricted Nodes | ||
| system | cores | % util. |
| redwood | 933/6280 | 14.86% |