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 Summer Presentations:

Hands-on introduction to python, parts 1&2

LOCATION: INSCC Auditorium, Room 110
DATE: June 28th & 30th, 2016
TIME: 1 - 3 p.m. 

Presented by Wim Cardoen and David Heidorn


LOCATION: INSCC Auditorium, Room 110
DATE: July 7th, 2016
TIME: 1 - 3 p.m. 

Presented by Wim Cardoen and David Heidorn

Use of General CHPC Interactive (Login) Nodes

Information on new node pricing

Call for Posters: Conference on Research Reproduciblity

Conference will take place November 14th at the University of Utah Law School Campus. Poster deadline is July 31st, 2016.

Changes to /scratch/kingspeak/serial and /scratch/ibrix/chpc_gen

  • Monday May 2nd, Noon: /scratch/kingspeak/serial made Read Only - DONE
  • Monday June 6th, Noon:  Taken offline to be rebuilt - DONE
  • Friday June 10th: rebuild /scratch/kingspeak/serial back on line - DONE
  • Monday June 13th, Noon: /scratch/ibrix/chpc_gen will be made read only - DONE
  • Monday July 11th/scratch/ibrix/chpc_gen will be retired 

Spring 2016 Newsletter

Workshop on being a "Cyberinfrastructure Research and Education Facilitator"

Sunday August 7th - Saturday August 13th, 2016

Applications are now open!

Open Science Grid (OSG) User School 2016

Application Period: Mar 14 - Apr 15, 2016
OSG User School: 25-29 July 2016
Website and brief application:

CHPC on Twitter

News History...

Prediction of Crystal Structures from First Principle Calculations

Using CHPC resources a team of researchers from the University of Utah and the University of Buenos Aires has demonstrated that it is possible to predict the crystal structures of a biomedical molecule using solely first principles calculations.  The results on glycine polymorphs shown in the figure were obtained using the Genetic Algorithms search implemented in Modified Genetic Algorithm for Crystals coupled with the local optimization and energy evaluation provided by Quantum Espresso. All three of the ambient pressure stable glycine polymorphs were found in the same energetic ordering as observed experimentally.  The agreement between the experimental and predicted structures is of such accuracy that they are visually almost indistinguishable.

The ability to accomplish this goal has far reaching implications well beyond just intellectual curiosity.  Crystal structure prediction can be used to obtain an understanding of the principles that control crystal growth.  More practically, the ability to successfully predict crystal structures and energetics based on computation alone will have a significant impact in many industries for which crystal structure and stability plays a critical role in product formulation and manufacturing, including pharmaceuticals, agrochemicals, pigments, dyes and explosives.

Lund AM, Pagola GI, Orendt AM, Ferraro, MB, Facelli, JC (2015). Crystal structure prediction from first principles: The crystal structure of glycine. Chemical Physics Letters, 626, 20-24. 

System Status

last update: 06/30/16 1:18 pm
General Nodes
system procs % util.
ember 1008/1008 100%
kingspeak 832/832 100%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 7468/7468 100%
apexarch Status Unavailable
ember 1248/1272 98.11%
kingspeak 4876/4900 99.51%
lonepeak 544/936 58.12%

Cluster Utilization