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CHPC - Research Computing 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 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.

Fall 2018 Presentation Schedule now available!


Upcoming downtime of cluster compute and interactive nodes - both general and protected environments

  •  July 17th:
    • Interactive nodes (includes atmos, meteo, wx, frisco, apollo) and resource managers on all general clusters
    • Compute nodes on tangent, lonepeak and redwood
  • July 31st: Compute nodes on ember
  • August 21st: Compute nodes on ash and notchpeak
  • August 28th: Compute nodes on kingspeak

CHPC Spring 2018 Newsletter


Changes to General Allocations


Notchpeak (new cluster) is available for general use


 CHPC on Twitter

News History...

Realistic five compartment (skin, skull, CSF, gray matter, white matter) finite element head model

Influence of Uncertainties in the Head Tissue Conductivities on the EEG Forward Problem

By James Vorwerk1, Carsten H. Wolters2, and Christopher R. Butson1

1Scientific Computing and Imaging (SCI) Institute, 2Institute for Biomagnetism and Biosignalanalysis, University of M√ľnster

For accurate EEG [electroencepahlography] source analysis, it is necessary to solve the forward problem of EEG as exact as possible. We investigate the influence of the uncertainty with regard to the conductivity values of the different conductive compartments of the human head on the EEG forward and inverse problem. The goal is to identify for which of these compartments varying conductivity values have the strongest influence, so that these conductivity values can be individually calibrated in future studies. For the investigated source in the somatosensory cortex, the skull conductivity clearly has the strongest influence, while white and gray matter conductivities have a very low influence. If possible, an individual calibration of the skull conductivity should therefore be performed. The feasibility of a calibration of further conductivity values based on SEPs [somatosensory evoked potentials] is questionable given the dominance of the skull conductivity. This study shows that besides the geometrical modeling of the conductive compartments of the human head, also the conductivity values assumed for these compartments have a strong influence in EEG source localization.

System Status

General Environment

last update: 2018-07-20 14:03:03
General Nodes
system cores % util.
ember 804/972 82.72%
kingspeak 848/864 98.15%
notchpeak 928/928 100%
lonepeak 828/1100 75.27%
Owner/Restricted Nodes
system cores % util.
ash 7156/7444 96.13%
notchpeak 640/640 100%
ember 1220/1220 100%
kingspeak 5484/7224 75.91%
lonepeak 0/400 0%

Protected Environment

last update: 2018-07-20 14:00:37
General Nodes
system cores % util.
redwood 0/500 0%
Owner/Restricted Nodes
system cores % util.
redwood 0/1680 0%

Cluster Utilization

Last Updated: 7/17/18