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CHPC - Research Computing and Data 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 and data 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.

hidden outbreak of the bacterial infection following Hurricane Maria

Early Biothreat Detection with Unsupervised Machine Learning

By Julia Lewis, Kelly Peterson, Wathsala Widanagamaachchi, Clifton Baker, Fangxiang Jiao, Chris Nielson, Makoto Jones (PI)

Department of Internal Medicine, University of Utah

We leverage neural network autoencoder models to rapidly detect biological events such as those following natural disasters. After training these models, they learn what is common in Emergency Department (ED) visits in Veterans Affairs medical centers. When the reconstruction distance is high they indicate that the visit is not common even if we do not know the diagnosis.  

System Status

General Environment

last update: 2022-12-02 11:43:03
General Nodes
system cores % util.
kingspeak 940/1020 92.16%
notchpeak 3037/3212 94.55%
lonepeak 2422/2428 99.75%
Owner/Restricted Nodes
system cores % util.
ash 2068/3932 52.59%
notchpeak 7670/14204 54%
kingspeak 4108/5516 74.47%
lonepeak 0/416 0%

Protected Environment

last update: 2022-12-02 11:40:04
General Nodes
system cores % util.
redwood 106/620 17.1%
Owner/Restricted Nodes
system cores % util.
redwood 917/5852 15.67%


Cluster Utilization

Last Updated: 11/23/22