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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.

/scratch/general/lustre issues

UPDATE 1/18/19:

The lustre file system was unavailable on January 17th for several hours, from about 3pm-6pm. Currently rebuilding which will affect performance. More next week.


CHPC Downtime: Tuesday, January 29th starting at 8 a.m.


CHPC Spring 2019 Presentation Schedule Now Available


Upgrade R from 3.4.4 to 3.5.2 on the CHPC nodes


CHPC Special Presentation: A Brief Introduction to TeX and LaTeX

Speaker: Dr. Nelson Beebe
Monday, January 14th, 2019
10 am - Noon
INSCC Auditorium


CHPC Fall 2018 Newsletter 


CHPC Summer 2018 Newsletter 


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: 2019-01-20 22:43:03
General Nodes
system cores % util.
ember 864/948 91.14%
kingspeak 732/732 100%
notchpeak 900/900 100%
lonepeak 1088/1088 100%
Owner/Restricted Nodes
system cores % util.
ash 7292/7312 99.73%
notchpeak 1360/1424 95.51%
ember 1220/1220 100%
kingspeak 6548/6624 98.85%
lonepeak 400/400 100%

Protected Environment

last update: 2019-01-20 22:40:04
General Nodes
system cores % util.
redwood 32/440 7.27%
Owner/Restricted Nodes
system cores % util.
redwood 64/2480 2.58%

Cluster Utilization

Last Updated: 1/18/19