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Rivanna.md

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Rivanna

"Rivanna is the University of Virginia's High-Performance Computing (HPC) system. Rivanna is open to all faculty, research staff, and graduate students of the University. All faculty and research staff are eligible for a standard free allocation. Larger allocations may be requested through the College of Arts and Sciences, the School of Engineering and Applied Science, or the Data Science Institute. Allocations may also be purchased. See our allocations page for details.

Rivanna provides a platform for high-performance parallel jobs, for high-throughput computing chores of up to thousands of jobs, and for large-scale data analysis and image processing. It also supports accelerator technologies, including general-purpose graphical processing units (GPGPUs) and Intel Many-Integrated Cores Knight's Landing systems.

For more information about accessing and using Rivanna, see our Getting Started Guide."

Allocation Types

  • Standard allocations: 50,000 SUs Available to faculty and post-docs using Rivanna for research.
  • Administrative allocations: Administrative allocations are granted by the research deans who provide funding for Rivanna.
  • Allocation purchases: Time on Rivanna can also be purchased using a PTAO.
  • Staff allocations: 5,000 SUs and can be renewed annually. Available to: UVA staff, faculty, and post-docs to test whether Rivanna is appropriate for their research project.
  • Instructional allocations: Available to UVA instructors who are teaching a class or leading a training session.

Administrative allocations

Administrative allocations are granted by the research deans who provide funding for Rivanna. A minimum one-page proposal must be included with any type of administrative allocation request. Available to: Faculty and postdocs who require very large allocations. Choose one of the following administrative request options based on your school/college/organizational affiliation:

  • College of Arts and Sciences
  • School of Engineering and Applied Science
  • All other administrative allocation requests must be submitted to the Data Science Institute

Important Links