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.


March 10, 2015 at 6:30AM will go down at 2AM


  • No access to from 2AM to about 2PM
  • No network access to any CHPC resources from 6:30AM to about NOON
  • CHPC file systems should be available from desktops that mount these systems early afternoon
  • Clusters will not be available until  about 5PM

Upcoming CHPC Presentations  

  • Tuesday, Mar 3 from 1:00 - 3:00 in INSCC auditorium - Hands on Introduction to Python Part 2

This is the second of a two part series, during which we will introduce key parts of the Python Language. Bring your laptop with a functional connection to the campus Wi-Fi and with the Anacanda python distribution installed (either 2.7 or 3.4).

  • Thursday Mar 5 at 1:30pm in INSCC 345 – Advanced Module Use 

On Thursday Feb 19 CHPC started to provide the option for users to change to the use of modules (from the current sourcing of set up scripts for different applications) in order to manage their session environment. 

Modules is an environment management tool which makes modifying the user's shell environment simple and dynamic. The advantage of modules primarily comes from the capability to load and unload the environment needed for a given software package, allowing users to quickly and easily start using programs or switch development environments.   

In the Advanced Module Use session we will focus on how how we have our modules organized and how users can create modules for any applications they may have installed in their own space.

CHPC Resources Aid Study of Massive Galaxies

University of Utah astronomers are using CHPC parallel computing resources to study galaxy evolution and cosmology. Adam Bolton, assistant professor in the department of Physics and Astronomy, and his research group are members of the Baryon Oscillation Spectroscopic Survey (BOSS) project within the international Sloan Digital Sky Survey III (SDSS-III) collaboration.  BOSS is currently building the largest ever three-dimensional map of galaxies using a 2.5-meter telescope at Apache Point Observatory (APO) in New Mexico.  Researchers are measuring the statistical patterns within this map in order to understand the nature of the mysterious “dark energy” that seems to be accelerating the expansion rate of the universe. Kyle Dawson, another member of the University’s Department of Physics and Astronomy, is also heavily involved in the BOSS project.

System Status

last update: 02/28/15 5:30 pm
General Nodes
system procs % util.
ember 312/876 35.62%
kingspeak 716/832 86.06%
lonepeak 216/256 84.38%
Restricted Nodes
system procs % util.
ash 5856/6304 92.89%
ember 204/804 25.37%
kingspeak 1536/3288 46.72%
lonepeak 32/672 4.76%

Cluster Utilization