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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.

SCI Institute Distinguished Lecture: Not Yet At Extreme Scale Simulation

  • Ulrich Ruede

    March 24, 2017 at 2:00pm for 1hr
    Evans Conference Room, WEB 3780


XSEDE HPC Monthly Workshop on MPI

  • April 18-19, 2017
    9am - 3 p.m. MST
    INSCC Auditorium
  • Register

Lonepeak Owner Nodes being retired

  • lp101-142: March 10th
  • lp017-100: March 20th

"New to us" nodes will be added to lonepeak in the coming weeks.


UPDATE - HPC upgrade of cluster OS to CentOS7

  • Ash to go down for upgrade on March 14th. 
  • Kingspeak was back in service as of March 3rd.

REU Summer Program Opportunity for Undergrads in Scientific Computing


New CHPC storage option - archive storage


Student Summer Research Opportunities 


CHPC on Twitter

News History...

food mapping

An Analysis of Tobacco and Food Purchases

Professor John Hurdle, Biomedical Informatics,  has developed QualMART, a tool for helping grocery stores promote healthy eating habits for their customers.  To validate the effectiveness of this tool, the group conducted a study that compared tobacco purchases and the quality of food purchases.  They classified household grocery transactions in the Atlanta region, based on whether shoppers had ever purchased tobacco, and then applied their novel food purchase quality scoring measure to evaluate the household food environment. The master database with 15 months’ shopping activity from over 100,000 households nationally is housed on a HIPAA-compliant cluster at CHPC (accessed via Swasey).

The graphic shows the difference between ‘ever’ and ‘never’ tobacco purchasing groups is significant, with green areas indicating higher food quality scores and grey and red showing lower quality scores, aggregated by the zip code of the grocery shopping location.

This study validated the group's data-driven grocery food quality scoring design as the findings reproduce results from other studies in the scientific literature showing that tobacco users have lower overall diet quality compared to people who do not use tobacco.    

System Status

last update: 03/23/17 8:13 am
General Nodes
system procs % util.
ember 876/984 89.02%
kingspeak 880/880 100%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 5764/7388 78.02%
apexarch Status Unavailable
ember 860/1284 66.98%
kingspeak 6632/6744 98.34%
lonepeak Status Unavailable

Cluster Utilization

Last Updated: 3/21/17