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Center for High Performance Computing

Research Computing and Data Support for the University Community

 

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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Announcing the Upcoming Retirements of Julia Harrison and Anita M. Orendt
Julia Harrison
Julia Harrison

After nearly four decades of dedicated service at the University of Utah, Julia Harrison is retiring as the Operations Director of the Center for High Performance Computing.

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Anita M. Orendt
Anita M. Orendt

Anita M. Orendt is a dedicated educator and researcher with a rich background in physical chemistry. Anita has made significant contributions to the academic community at the University of Utah.

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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...

Structural Imaging Evaluation of Subcallosal Cingulate Deep Brain Stimulation for Treatment-resistant Depression

By Kara A. Johnson1,2; Darren L. Clark, PhD3; Gordon Duffley1,2; Rajamannar Ramasubbu, MD3; Zelma H.T. Kiss, MD3; and Christopher R. Butson, PhD1,2,4

1Department of Bioengineering; 2Scientific Computing & Imaging (SCI) Institute; 3Departments of Clinical Neurosciences and Psychiatry, University of Calgary; 4Departments of Neurology and Neurosurgery

Deep brain stimulation (DBS) of the subcallosal cingulate cortex (SCC) is an investigational therapy for treatment-resistant depression (TRD). There is a wide range of response rates for SCC DBS for TRD. The ideal location and extent of stimulation within the SCC to produce substantial therapeutic effects are currently unknown and may vary between patients. We used T1-weighted structural MRI to make between- and within-subject comparisons of volumes of tissue activated (VTAs) relative to structural anatomy to make observations about the effects of stimulation location and settings on clinical response. Our preliminary results suggest that stimulation location and volume relative to T1 structural anatomy alone may not predict clinical response in SCC DBS for TRD. Therapeutic response to SCC DBS may depend on a combination of several factors, such as patient-specific stimulation parameters, duration of stimulation, or other factors that play a role in specific fiber activation. Further analysis is warranted to elucidate whether stimulation locations, parameters, and durations predict therapeutic response to SCC DBS.

System Status

General Environment

last update: 2021-06-10 08:53:04
General Nodes
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kingspeak Status Unavailable
notchpeak Status Unavailable
lonepeak Status Unavailable
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ash Status Unavailable
notchpeak Status Unavailable
kingspeak Status Unavailable
lonepeak Status Unavailable

Protected Environment

last update: 2021-06-10 08:50:02
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system cores % util.
redwood Status Unavailable
Owner/Restricted Nodes
system cores % util.
redwood Status Unavailable


Cluster Utilization

Last Updated: 11/4/24