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...
Efficient Storage and Data Mining of Atmospheric Model Output
By Brian Blaylock and John Horel
Department of Atmospheric Sciences, University of Utah
Our group … purchased 30TB in CHPC’s pando [archive storage] system to test its suitability for several research projects. We have relied extensively over the years on other CHPC storage media such as the tape archive system and currently have over 100TB of network file system disk storage. However, the pando system is beginning to meet several of our interwoven needs that are less practical using other data archival approaches: (1) efficient expandable storage for thousands of large data files; (2) data analysis using fast retrieval of user selectable byte-ranges within those data files; and (3) the ability to have the data accessible to the atmospheric science research community.
The CHPC pando storage archive has made it possible for us to efficiently archive, access, and analyze a large volume of atmospheric model output. Several researchers outside the University of Utah have already discovered its utility in the short time that the archive has been available.
Read the full article in the newsletter.
System Status
General Environment
General Nodes | ||
---|---|---|
system | cores | % util. |
kingspeak | 532/972 | 54.73% |
notchpeak | 1949/3212 | 60.68% |
lonepeak | 3092/3140 | 98.47% |
Owner/Restricted Nodes | ||
system | cores | % util. |
ash | 768/1104 | 69.57% |
notchpeak | 6846/18300 | 37.41% |
kingspeak | 2180/5308 | 41.07% |
lonepeak | 336/416 | 80.77% |
Protected Environment
General Nodes | ||
---|---|---|
system | cores | % util. |
redwood | 441/616 | 71.59% |
Owner/Restricted Nodes | ||
system | cores | % util. |
redwood | 2116/5980 | 35.38% |