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...
95th percentile of 10 meter wind speed for every hour in May, June, and July 2015-2017. Strong winds often occur during evening hours, over mountain ridges, oceans, and Great Lakes, and the mountain and central states. This video has been truncated to better fit this format.
Weather Statistics with Open Science Grid
By Brian Blaylock and John Horel
Department of Atmospheric Sciences, University of Utah
CHPC's Pando archive hosts 40+ TB of weather model analyses and forecasts from the High Resolution Rapid Refresh model beginning April 2015. Resources from the Open Science Grid were used to quickly retrieve data from the Pando archive and calculate percentile statistics for several weather variables. Percentiles from three years of data were calculated for every hour of the year using a 30 day window centered on each hour. These statistics are being used to perform data quality checks of in situ weather observations and provide meteorologists insight on model performance at specific locations.
System Status
General Environment
| General Nodes | ||
|---|---|---|
| system | cores | % util. |
| kingspeak | 853/972 | 87.76% |
| notchpeak | 3056/3212 | 95.14% |
| lonepeak | 1606/3140 | 51.15% |
| Owner/Restricted Nodes | ||
| system | cores | % util. |
| ash | 96/1152 | 8.33% |
| notchpeak | 17671/18328 | 96.42% |
| kingspeak | 2499/5340 | 46.8% |
| lonepeak | 48/416 | 11.54% |
Protected Environment
| General Nodes | ||
|---|---|---|
| system | cores | % util. |
| redwood | 0/616 | 0% |
| Owner/Restricted Nodes | ||
| system | cores | % util. |
| redwood | 1799/6280 | 28.65% |