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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.

Spring 2017 CHPC Presentation Schedule

The following upcoming sessions will be held from 1-3 p.m. in the INSCC Auditorium

UPDATE - HPC upgrade of cluster OS to CentOS7 - Feb 14, 2017

Kingspeak offline. Both interactive and compute nodes will be out of service beginning March 1st at 9 a.m. - for about 1 week.

CHPC Data Center Tour - March 8th, 1 p.m.

Eventbrite - UofU Downtown Data Center Tour - March 8, 2017

Allocation Requests are Due March 1st, 2017

Scrub of /scratch/general/lustre file system to start January 17th

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: 02/19/17 4:53 am
General Nodes
system procs % util.
ember 972/996 97.59%
kingspeak 804/880 91.36%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 7444/7456 99.84%
apexarch Status Unavailable
ember 1220/1220 100%
kingspeak 6304/6448 97.77%
lonepeak 160/816 19.61%

Cluster Utilization

Last Updated: 2/17/17