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 Linux, part 2 

Tuesday, September 8th, 2015
INSCC Auditorium
1:00-3:00 p.m.

Attention: Protected Environment Users

apexarch update to OS RHEL6 is complete

 Nvidia Training

Hosted by NVIDIA
LOCATION: SCI Institute, 72 S. Centeral Campus Drive
DATE: Sept. 29-30, 2015.
TIME: 9 am - 4:30 pm both days
LIMIT: 45 Seats
To register:

ATTENTION: Protected Environment Users

  1. Duo multi-factor authentication will be required after the September 1st downtime (below). 
  2. Downtime of apexarch to upgrade the OS to RHEL6. Begins 8 a.m. September 1st for approximately 2 days.

More details

CHPC Fall 2015 Training Series begins on September 1st

 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: 09/04/15 5:03 pm
General Nodes
system procs % util.
ember 600/1008 59.52%
kingspeak 832/832 100%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 6120/6212 98.52%
apexarch Status Unavailable
ember 540/708 76.27%
kingspeak 3580/3580 100%
lonepeak 248/952 26.05%

Cluster Utilization