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Center for High Performance Computing

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, advanced networking, and more.

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Upcoming Events:

CHPC PE DOWNTIME: Partial Protected Environment Downtime  -- Oct 24-25, 2023

Posted October 18th, 2023


CHPC INFORMATION: MATLAB and Ansys updates

Posted September 22, 2023


CHPC SECURITY REMINDER

Posted September 8th, 2023

CHPC is reaching out to remind our users of their responsibility to understand what the software being used is doing, especially software that you download, install, or compile yourself. Read More...

News History...

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NeoSeq: Faster Diagnosis-Better Care

By Utah Center for Genetic Discovery and University of Utah Health

Whole genome sequencing has facilitated a far greater understanding of the biology of many organisms as well as revealed significant genetic contributions to human disease. However, leveraging sequencing based approaches for use in clinical diagnostics faces a number of logistical as well as regulatory hurdles. The University of Utah is uniquely positioned to explore the use of genome sequencing as a diagnostic tool given its extensive experience in both healthcare and research. NeoSeq is a pilot project to quickly and accurately detect genetic disorders among newborns at the University of Utah Hospital neonatal intensive care unit (NICU).  The purpose of the NeoSeq is to develop a rapid whole genome sequencing protocol to provide a genetic diagnosis for critically ill infants in the University of Utah Hospital NICU. Patients and their parents are sequenced on a research basis to identify genes that may contribute to a given disease or condition. Sequencing derived findings are further validated through clinically approved tests and shared with medical staff and caregivers to improve patient outcomes. Early and accurate diagnosis can improve outcomes, save lives, and lower treatment costs by allowing for targeted clinical interventions, abandonment of treatments likely to be ineffective, and proper referral of patients to specialists or palliative care. Additional applications include genetic counseling and future family planning. A diagnosis can also bring peace of mind to parents even when no treatment is possible. With this project, University of Utah Health joins a very small group of hospitals worldwide that are able to offer this type of care.



 

System Status

General Environment

last update: 2024-10-16 18:53:02
General Nodes
system cores % util.
kingspeak 970/972 99.79%
notchpeak 3030/3212 94.33%
lonepeak 933/1932 48.29%
Owner/Restricted Nodes
system cores % util.
ash 24/1152 2.08%
notchpeak 15055/21876 68.82%
kingspeak 3520/4092 86.02%
lonepeak 20/416 4.81%

Protected Environment

last update: 2024-10-16 18:50:03
General Nodes
system cores % util.
redwood 508/588 86.39%
Owner/Restricted Nodes
system cores % util.
redwood 4710/6472 72.78%


Cluster Utilization

Last Updated: 9/3/24