Advanced Research Computing at U-M provides access to and support for the use of advanced computing resources. Rapid developments in technology are creating unprecedented capabilities for handling massive amounts of data. ARC helps open up these new and more powerful approaches to research challenges in fields ranging from physics to linguistics, and from engineering to medicine.
How Can ARC Help You?
ARC brings researchers and advanced computing resources together through a number of services and resources:
- A shared computing cluster, Flux, operated on an allocation basis. Researchers can buy as much or as little time as needed on our cluster, currently more than 8,000 cores and growing.
- Events for individuals engaged in computational discovery at U-M. These include an annual conference, CI Days, an occasional speaker series, and Flux User Group events.
Other services include:
- High-Performance Computing
- Software Library
- Data Management
- Collaboration Tools
Why Was ARC Established?
ARC was officially established in 2008 (under the name Office of Research Cyberinfrastructure or ORCI), with a mission to catalyze the provisioning and use of leading edge cyberinfrastructure services to provide competitive advantage to the U-M academic community.
The process began in February 2003, when the National Science Foundation (NSF) Advisory Panel on Cyberinfrastructure issued a landmark report. It put forth a strategy intended to revolutionize research and education through advanced computational methods. Dan Atkins, a U-M faculty member and former dean, served as the chair of that Blue Ribbon Panel.
Concurrently, leading U-M researchers were asking how they could connect and grow the research CI resources at the university. When Atkins returned to U-M in 2008, after serving as the inaugural Director of the NSF’s Office of Cyberinfrastructure, the university’s leadership asked him to lead that effort, naming him associate vice president for research cyberinfrastructure.
Toward this end, the early work of ARC examined and assessed both the demand for CI at the university and what the university could provision. These activities supported several long-term goals:
- Identify individuals engaged in computational discovery at U-M
- Determine cyberinfrastructure needs through coordinating with university stakeholders
- Coordinate large-scale collaborations with peer institutions
- Promote the advancement of cyberinfrastructure with state, federal, and private interests
- Identify funding sources