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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.

If you are new to CHPC, the best place to start to get more information on CHPC resources and policies is our Getting Started page.

Upcoming Events:

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

last update: 2024-06-24 12:43:03
General Nodes
system cores % util.
kingspeak 910/940 96.81%
notchpeak 3121/3212 97.17%
lonepeak 1432/3060 46.8%
Owner/Restricted Nodes
system cores % util.
ash 216/1152 18.75%
notchpeak 13593/19420 69.99%
kingspeak 2292/5340 42.92%
lonepeak 416/416 100%

Protected Environment

last update: 2024-06-24 12:40:05
General Nodes
system cores % util.
redwood 407/616 66.07%
Owner/Restricted Nodes
system cores % util.
redwood 1873/6408 29.23%


Cluster Utilization

Last Updated: 5/1/24