Mission Statement

Research Computing for UNC-Chapel Hill is developed, supported and maintained by the ITS Research Computing group. ITS Research Computing aims to provide a world-class computing infrastructure as well as other technology tools and capabilities to support the research needs of University faculty and staff. Our goal is to provide a state-of-the-art environment that will support the highest level of multidisciplinary research and help UNC-Chapel Hill become the premier research university in the U.S.

News

Kathryn Gunn

Researcher Kathryn Gunn relies on Research Computing

Posted 1 month ago

Customer Case Study Kathryn Gunn is a post-doctoral researcher in the Neher Lab of the Biochemistry and Biophysics Department within the UNC-Chapel Hill School of Medicine. She is a new client of ITS Research Computing. The Client The Neher Lab … Continued

Tim Weigand

Researcher Tim Weigand relies on Dogwood computing cluster

Posted 2 months ago

Customer Case Study Tim Weigand is a Ph.D. candidate and research assistant at the Department of Environmental Sciences and Engineering, within the Gillings School of Public Health at UNC-Chapel Hill. Weigand is a client of ITS Research Computing. The Client … Continued

Research Computing: Killdevil retired

ITS retires Killdevil research computing cluster

Posted 8 months ago

ITS Research Computing has decommissioned the Killdevil computing cluster. Users migrated their workflow from Killdevil over to Research Computing’s more modern, powerful clusters, Longleaf and Dogwood. Killdevil served University for seven years Research Computing turned off Killdevil on December 17, … Continued

Participants learn in the lab portion of the Deep Learning Symposium

Survey indicates strong interest for another deep learning event

Posted 9 months ago

Feedback on the Deep Learning event that ITS Research Computing held in September, including a recent survey of participants, demonstrates strong interest for another such event next year. Research Computing conceived of and co-sponsored the Deep Learning, Machine Learning and … Continued