IT Division Launches Research Computing and Cyberinfrastructure Initiative


Colorado State University Information Technology Division recently launched a new initiative highlighting the high-performance computing resources available to researchers.

Research IT and Cyberinfrastructure and its support website aim to forge partnerships across campus to promote and build a culture of an engaged and knowledgeable cyberinfrastructure community.

Stephen Oglesby, Cyberinfrastructure Facilitator in the Computing Division, said Research Computing and Cyberinfrastructure aims to work alongside the research community and college computing groups to develop shared practices and resources. in order to advance the mission of CSU.

Oglesby explained that research computing and cyber infrastructure were previously informally known as “top support” for the Summit high performance computing system – a joint activity of CSU and the University of Colorado Boulder. . A name change was needed to redefine the services offered to researchers, he said.

“There are a number of services across CSU that relate to research, and you either know it or you don’t know it,” Oglesby said. “We are redefining research informatics at CSU beyond summit support. “

The new website plays a key role in showcasing the high-performance computing resources available to researchers, which involve computing, moving and storing data. The website also contains links to trainings such as the popular Coding and cookies seminar through CSU Libraries, which teaches the basics of the R.

High performance computing at CSU

Oglesby explained that high-performance computing is used in all research disciplines at CSU, from weather modeling to finding a molecule for the perfect engine oil or even analyzing detours in interstate traffic.

“When you’re looking to create these really detailed, complex models, you need high performance computing,” Oglesby said. “You need a lot of processing power and a lot of memory. “

At its heart are the compute nodes: 485 nodes totaling over 11,280 cores of processing power. Oglesby compared it to the computing power of over 1,500 laptops.


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