The College of Engineering encourages the use of high performance computing resources in support of research and teaching. CAEN, in collaboration with Advanced Research Computing – Technology Services (ARC-TS), is responsible for supporting these advanced computing resources for Engineering students and faculty.
- The NSF’s Extreme Science and Engineering Discovery Environment (XSEDE) provides advanced digital resources and services to scientists across the country.
- The U-M’s campus Linux-based high performance computing cluster, called Great Lakes, supports multi-core and long running computations.
Advanced Research Computing – Technology Services provides access to and support for advanced computing infrastructure and services for researchers across U-M. Researchers in the College of Engineering also make use of computing resources in national and other institutional labs. College of Engineering departments may also provide support for high performance computing.
The University of Michigan participates in the NSF’s Extreme Science and Engineering Discovery Environment (XSEDE) program, which provides computing, storage, applications, and consulting resources at no cost to researchers. ARC-TS provides on-campus support for this via the XSEDE Campus Champion program and can offer advice and guidance to interested researchers. For more information, refer to XSEDE or contact ARC-TS.
The University has an on-campus high performance computing (HPC) resource that is a traditional Linux cluster called Great Lakes. Great Lakes supports long-running and multi-core jobs and is tightly integrated with the U-M IT and business operations. For more information on using Great Lakes in the College of Engineering, contact email@example.com.
- To use Great Lakes in a College of Engineering Course, see Using Great Lakes in a Course.
- To propose funding in a grant application for the use of Great Lakes, see Great Lakes for Grant Writers & Research Administrators.
For researchers with a requirement to purchase hardware, Lighthouse supports the addition of hardware in an environment similar to Great Lakes. For more information on this, contact firstname.lastname@example.org.
At the campus level, Advanced Research Computing (ARC) advances existing and future cyberinfrastructure resources at the University.