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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 Data Center Tour

Thursday, October 25th, 2018 at 1:30 p.m.

Eventbrite - UofU Downtown Data Center Tour - October 24, 2017


Registration open for: XSEDE HPC Monthly Workshop: OpenACC 

Posted: Oct 9th, 2018


Upcoming Fall 2018 Presentations:

All presentations  are 1-2pm INSCC auditorium unless noted otherwise

  • Hands-on Introduction to Python
    • Part 1: Tues, Oct 16, 1-3pm
    • Part 2: Thurs, Oct 181-3pm
    • Part 3 (Numpy): Tues, Oct 231-3pm
    • Part 4 (Numpy): Thurs, Oct 251-3pm

 Retirement of /scratch/lonepeak/serial from general usage

Posted: August 9th, 2018


Introducing New Protected Environment (PE) windows computing environment - Narwhal

Posted: August 6th, 2018


CHPC Spring 2018 Newsletter


 CHPC on Twitter

News History...

Comparative genomics and signatures of social behavior in bees

Genomic Insights Through Computation

By Karen Kapheim, Kapheim Lab, Utah State University

The primary focus of research in the Kapheim Lab is understanding how social behavior evolves in bees. We take an integrative approach to finding answers to this question, and in doing so merge ecology, behavior, neuroscience, comparative genomics, and molecular biology. We conduct experiments in the field with live bees, process these in our molecular biology lab, and then analyze the sequence data using the CHPC. Examples of on-going projects include using metabarcoding to characterize the role of the microbiome in social behavior and health of bees. We have sequenced a portion of the bacterial 16s rRNA gene in DNA extracted from the guts of bees during various life stages. We are processing these sequences on the CHPC. As a side project, we are also using similar computational methods to characterize the metabarcodes sequenced from the guts of carrion flies to characterize the mammal community on a tropical island where we work. Other projects involve comparative genomics of bee genomes to look for signatures of evolutionary transitions between solitary and social lifestyles. We are also using the CHPC to analyze microRNA expression differences among bees that vary in social behavior, and in response to hormone treatments. In each of these projects, the CHPC staff and resources have been extremely valuable, as genomic data is particularly large and analyses would not be possible on desktop computers.

System Status

General Environment

last update: 2018-10-16 22:23:03
General Nodes
system cores % util.
ember 912/984 92.68%
kingspeak 868/880 98.64%
notchpeak 928/928 100%
lonepeak 1112/1112 100%
Owner/Restricted Nodes
system cores % util.
ash 7176/7176 100%
notchpeak 880/912 96.49%
ember 1176/1220 96.39%
kingspeak 7172/7340 97.71%
lonepeak 0/400 0%

Protected Environment

last update: 2018-10-16 22:20:03
General Nodes
system cores % util.
redwood 0/468 0%
Owner/Restricted Nodes
system cores % util.
redwood 896/1872 47.86%

Cluster Utilization

Last Updated: 10/11/18