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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.

The Utah PRISMS Ecosystem: An Infrastructure for Global Exposomic Research

By Ramkiran Gouripeddi1,2, Mollie Cummins1,2,3, Julio Facelli1,2, and Katherine Sward1,2,3 for the Utah PRISMS Team

1Department of Biomedical Informatics, 2Center for Clinical and Translational Science, 3College of Nursing

The Utah PRISMS (Pediatric Research Using Integrated Sensor Monitoring Systems) Team uses a systematic approach to aggregate data on environmental exposures and socio-economic factors to explore potential effects of the modern environment on health. The project uses sensor measurements and information from individuals in the community to support research at both the population and personal level. It supports a standards-based, open source informatics platform to meaningfully integrate sensor and biomedical data and consists of

  1. Data Acquisition Pipeline: Hardware and software, wireless networking, and protocols to support easy system deployment for robust sensor data collection in homes, and monitoring of sensor deployments.
  2. Participant Facing Tools: Annotate participant generated data, display sensor data, and inform participants of their clinical and environmental status.
  3. Computational Modeling: Generate high resolution spatio-temporal data in the absence of measurements as well as for recognition of activity signatures from sensor measurements.
  4. Central Big Data Integration Platform (OpenFurther): Standards-based, open-access infrastructure that integrates study-specific and open sensor and computationally modeled data with biomedical information along with characterizing uncertainties associated with these data.
  5. Researcher Facing Platforms: Tools and processes for researchers performing exposomic studies of a variety of experimental designs.

System Status

General Environment

last update: 2018-12-11 14:33:04
General Nodes
system cores % util.
ember 984/984 100%
kingspeak 848/860 98.6%
notchpeak 996/996 100%
lonepeak 1112/1112 100%
Owner/Restricted Nodes
system cores % util.
ash 7116/7176 99.16%
notchpeak 1152/1232 93.51%
ember 1208/1220 99.02%
kingspeak 7340/7340 100%
lonepeak 240/400 60%

Protected Environment

last update: 2018-12-11 14:30:05
General Nodes
system cores % util.
redwood 380/500 76%
Owner/Restricted Nodes
system cores % util.
redwood 1872/1872 100%

Cluster Utilization

Last Updated: 12/10/18