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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.

CHPC Fall Presentations


CHPC Downtime - Wednesday, October 12th starting at 8 am


New software license status page


New GPU nodes on kingspeak and new GPU procedures on ember


Data Center Tour - October 19th, 11 a.m.

Eventbrite - UofU Downtown Data Center Tour

Starting scrub script on scratch file system /scratch/general/lustre

Beginning September 16th, 2016 


CHPC Outage of August 8th


Allocation Requests for Fall 2016 are Due September 1st


Tangent Unscheduled Downtime - Hardware Failure

Posted July 11th, 2016

Tangent was restored to service on July 15th. Jobs that were idle in the batch queue before the hardware issue are now running and users can now submit new jobs. 


Workflows Workshop August 9-10, 2016

 CHPC will be a satellite site for a new HPC workshop on Workflows to be held on August 9 and 10, 9am-3pm MDT each day. The location of the workshop is still to be determined, based on enrollment.

 Registration: https://goo.gl/Eocp4m

Details: https://goo.gl/YbynEC 


Use of General CHPC Interactive (Login) Nodes


Workshop on being a "Cyberinfrastructure Research and Education Facilitator"

Sunday August 7th - Saturday August 13th, 2016

Applications are now open! 


CHPC on Twitter

News History...
crystals

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: 09/28/16 12:43 pm
General Nodes
system procs % util.
ember 876/972 90.12%
kingspeak 700/820 85.37%
lonepeak 256/256 100%
Restricted Nodes
system procs % util.
ash 7272/7296 99.67%
apexarch Status Unavailable
ember 1172/1272 92.14%
kingspeak 5844/5960 98.05%
lonepeak 672/864 77.78%

Cluster Utilization

Last Updated: 9/27/16