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.

Introduction to Programming with OpenMP

Thursday, October 1st, 2015
INSCC Auditorium
1:00-2:00 p.m.

XSEDE OpenMP workshop reminder

We would like to remind everyone that the day long XSEDE OpenMP workshop that will teach OpenMP programming basics beyond the scope of our hour long semi-weekly lectures will take place on October 6th with registration deadline on October 1st. Please see  for details about the workshop and registration.

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NVidia online OpenACC course and free development toolkit

Posted September 22, 2015

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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: 10/04/15 5:38 pm
General Nodes
system procs % util.
ember 948/984 96.34%
kingspeak 720/832 86.54%
lonepeak 232/256 90.63%
Restricted Nodes
system procs % util.
ash 1660/6316 26.28%
apexarch 0/152 0%
ember 264/696 37.93%
kingspeak 948/3848 24.64%
lonepeak 8/976 0.82%

Cluster Utilization