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.
Summer Presentation Series
The Summer Presentation Series has started. Below are the upcoming presentations in the series:
Tues, Jun 6, 2023 1-2pm -- Slurm and Slurm Batch Scripts
Thurs, June 8, 2023 1-3pm -- Hands on Introduction to Linux, part 1
Tues, June 13, 2023 1-3pm -- Hands on Introduction to Linux, part 2
Thurs, June 15, 2023 1-3pm -- Hands on Introduction to Linux, part 3
Tues, Jun 20, 2023 1-2pm -- Hands on Introduction to Open OnDemand
Allocation Requests for Summer are Due June 1st, 2023
Posted May 18th, 2023
CHPC Downtime: Lonepeak Cluster Outage from early morning May 10th, 2023 and was returned to service by about 12:30 p.m.
Posted May 10th, 2023
Summer Presentation Schedule Now Available
Posted April 19th, 2023
Spring 2023 CHPC Newsletter
Posted April 19th, 2023
Additional Changes to Open Ondemand Interactive apps forms
Posted April 5th, 2023
Updates to Open OnDemand Interactive app Submission Forms
Posted February 17th, 2023
CHPC ANNOUNCEMENT: retirement of /scratch/general/lustre - Feb 28, 2023 - REMINDER
Posted January 11th, 2023
CHPC ANNOUNCEMENT: Changes to lonepeak general nodes
Posted February 8th, 2023
CHPC DOWNTIME: Downtime of general environment compute resources - Dec 6, 2022 starting
at 7:30 a.m. EXTENDED
update December 6, 2022
posted November 11, 2022
Fall 2022 CHPC Newsletter
Posted November 18, 2022
CHPC ANNOUNCEMENT: CHPC staff working both remotely and hybrid schedules.
CHPC Protected Environment
Health science research projects often require access to restricted data in a large scale computing environment, necessitating an environment where this work can be done securely. In 2009, CHPC collaborated with groups from the University of Utah's Department of Biomedical Informatics, working with the university's Information Security and Compliance offices, to develop a prototype protected environment (PE) framework to provide a secure and compliant computing environment for this work. This prototype has been very successful and has grown in scope. The original PE included an HPC cluster, storage, a dedicated statistics Windows server, and a VM farm. You can read about the original PE in the Journal of the American Medical Informatics Association. CHPC isolated this protected environment in the secured University of Utah Downtown Data Center and set up a network protected logical partition that provided research groups specific access to individual data sets. As the environment and technology developed, CHPC added additional security features such as two-factor authentication for entry and audit/monitoring.
CHPC, through the award of an NIH Shared Instrumentation Grant in April 2017, replaced this prototype environment with a larger, more secure environment—and one that is scalable and expandable such that it will be capable of providing a platform for the next generation of NIH computations research. Along with the original components listed above, the refreshed PE has expanded capabilities including high-speed data transfer, built-in disk encryption, additional security and log analyses including a SIEM solution, and an integrated archive service based on a software encrypted Ceph object-store. The new PE is supporting not only the previous usage modalities, but is also securely supporting projects involving human genomic data, as well as new collaborative efforts working to combine genomics with clinical EMR and PHI data, data from the Utah Population Database, and other data to enable personalized medicine research.