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.

CHPC Data Center Tours: Nov 5th and Dec 3rd, 2015 

CHPC is going to start offering tours of the University of Utah Downtown Data Center where most of our production systems reside. The tours are limited to 20 people, and depending on continued interest we may schedule more in the future.Eventbrite - UofU Downtown Data Center Tour 

Introduction to Programming with MPI

INSCC Auditorium
Tuesday, October 8th, 2015
1 - 2 pm

Introduction to Programming with MPI

INSCC Auditorium
Thursday, October 8th, 2015
1:00 - 2:00 pm

/scratch/ibrix/chpc_gen is 94% full

Please check your usage and clean up as much as space as possible.

NVidia online OpenACC course and free development toolkit

Posted September 22, 2015

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: 10/09/15 12:38 am
General Nodes
system procs % util.
ember 900/984 91.46%
kingspeak 832/832 100%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 6200/6316 98.16%
apexarch 112/152 73.68%
ember 504/708 71.19%
kingspeak 2964/3760 78.83%
lonepeak 0/976 0%

Cluster Utilization