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CHPC - Research Computing 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 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. Visit our Getting Started page for more information.

REMINDER: Allocation Requests for Winter 2020 are Due December 1st, 2019 

Posted November 4th, 2019


CHPC Fall 2019 Presentations

All presentations are located in INSCC Auditorium (Room 110)


Call for content for CHPC's SC19 booth

Re-Posted October 24th, 2019
Posted September 26th, 2019


Registration Open for XSEDE HPC Workshop OpenMP

Registration is available at
https://www.xsede.org/web/xup/course-calendar/-/training-user/class/1903/session/3352


K80 GPUs on notchpeak-shared-short partition

Posted October 4th, 2019


CHPC DOWNTIME: OS kernel updates on Clusters

  • (COMPLETED) October 8thstarting at 7:30
    Compute and interactive nodes onlonepeak, kingspeak, tangent, ash, and redwood.  Includes the frisco, atmos and meteo nodes
  • (COMPLETED) September 25th starting at 7:30
    Compute and interactive nodes on ember and notchpeak 

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, Atmospheric Sciences

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

last update: 2019-11-15 03:22:02
General Nodes
system cores % util.
ember 876/876 100%
kingspeak 812/816 99.51%
notchpeak 1076/1076 100%
lonepeak 1676/1688 99.29%
Owner/Restricted Nodes
system cores % util.
ash 4216/7356 57.31%
notchpeak 3912/3936 99.39%
ember 1220/1220 100%
kingspeak 5392/5836 92.39%
lonepeak 400/400 100%

Protected Environment

last update: 2019-11-15 03:20:07
General Nodes
system cores % util.
redwood 196/408 48.04%
Owner/Restricted Nodes
system cores % util.
redwood 321/3772 8.51%

Cluster Utilization

Last Updated: 11/14/19