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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 Reboot of Windows Servers (Beehive and Narwhal)

At 9 pm on Thursday January 16th to deploy a critical security patch.

Spring 2020 CHPC Presentation Schedule

Changes to lonepeak cluster

Posted January 7th, 2020

CHPC Fall 2019 Newsletter

K80 GPUs on notchpeak-shared-short partition

Posted October 4th, 2019

CHPC DOWNTIME: OS kernel updates on Clusters

  • (COMPLETED) October 8thstarting at 7:30
    Compute and interactive nodes onlonepeak, kingspeak, tangent, ash, and redwood.  Includes the frisco, atmos and meteo nodes
  • (COMPLETED) September 25th starting at 7:30
    Compute and interactive nodes on ember and notchpeak 

News History...

Mapping the Universe with CHPC Resources

The Sloan Digital Sky Survey makes use of the University of Utah's Center for High Performance Computing (CHPC) parallel computing resources to help with its mission to map the Universe, from our Solar System through the Milky Way Galaxy, and beyond. Building on fifteen years of discovery, the fourth phase of SDSS (SDSS-IV) recently had two public data releases including DR14 earlier this year.

In SDSS-IV the survey expands its reach in three different ways:

  1. We observe a million stars in both the Northern and Southern skies by including a second telescope in Chile. SDSS now uses both the 2.5m Sloan telescope in New Mexico, and the 2.5m du Pont Telescope in Las Campanas, Chile.
  2. We observe millions of galaxies and quasars at previously unexplored distances to map the large-scale structure in the Universe 5 billion years ago, and to understand the nature of Dark Energy.
  3. We use new instrumentation to collect multiple high-resolution spectra within 10,000 nearby galaxies, to discover how galaxies grow and evolve over billions of years of cosmic history.

University of Utah astronomers are a core part of this international collaboration. Joel Brownstein, Professor of Physics and Astronomy, is the Principal Data Scientist, making sure that the SDSS data reduction pipelines run smoothly, and that the data products are easily accessible both within the team and publicly. Professor Kyle Dawson and postdoctoral fellows are also involved, working on instrumentation to map the distant Universe. Professor Gail Zasowski and her research group use SDSS observations of stars within our home Milky Way Galaxy to understand when and how they formed, and how our Galaxy is changing over time.

System Status

General Environment

last update: 2020-01-17 23:23:02
General Nodes
system cores % util.
ember 876/876 100%
kingspeak 832/832 100%
notchpeak 1092/1116 97.85%
lonepeak 2020/2020 100%
Owner/Restricted Nodes
system cores % util.
ash 7324/7324 100%
notchpeak 4354/4424 98.42%
ember 1220/1220 100%
kingspeak 5745/5836 98.44%
lonepeak 400/400 100%

Protected Environment

last update: 2020-01-17 23:20:02
General Nodes
system cores % util.
redwood 28/436 6.42%
Owner/Restricted Nodes
system cores % util.
redwood 77/3792 2.03%

Cluster Utilization

Last Updated: 1/16/20