The CHPC has a new page summarizing machine learning and artifical intelligence resources.
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.
If you are new to the CHPC, the best place to learn about CHPC resources and policies is our Getting Started page.
Have a question? Please check our Frequently Asked Questions page and contact us if you require assistance or have further questions or concerns.
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.
Read moreAnita 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.
Read moreUpcoming Events:
Allocation Requests for Winter 2025 are Due December 1st, 2024
Posted November 4th, 2024
Update to redwood idle session management following August 20, 2024 downtime
Posted September 3rd, 2024
Redwood Cluster Operating System Updated to Rocky Linux 8.10
Posted August 21st, 2024
Allocation Requests for Fall 2024 are Due September 1st, 2024
Posted August 7th, 2024
Allocation Requests for Summer 2024 are Due June 1st, 2024
Posted May 1st, 2024
CHPC Downtime: Tuesday March 5 starting at 7:30am
Posted February 8th, 2024
Two upcoming security related changes
Posted February 6th, 2024
Allocation Requests for Spring 2024 are Due March 1st, 2024
Posted February 1st, 2024
CHPC ANNOUNCEMENT: Change in top level home directory permission settings
Posted December 14th, 2023
CHPC Spring 2024 Presentation Schedule Now Available
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
General Nodes | ||
---|---|---|
system | cores | % util. |
kingspeak | Status Unavailable | |
notchpeak | Status Unavailable | |
lonepeak | Status Unavailable | |
Owner/Restricted Nodes | ||
system | cores | % util. |
ash | Status Unavailable | |
notchpeak | Status Unavailable | |
kingspeak | Status Unavailable | |
lonepeak | Status Unavailable |
Protected Environment
General Nodes | ||
---|---|---|
system | cores | % util. |
redwood | Status Unavailable | |
Owner/Restricted Nodes | ||
system | cores | % util. |
redwood | Status Unavailable |