• Instructional Use of Rivanna

    Instructors can request instructional allocations on Rivanna for classes and extended workshops. These allocations are time-limited and generally allow access to a restricted set of nodes and only one special SLURM partition, but are otherwise equivalent to any allocation. Resource Availability Hardware and Partition Instructional allocations use a dedicated instructional partition. The standard allocation is 25,000 SUs for the semester during which the course is conducted. For workshops, the allocation will persist during the workshop and for two days subsequent to it. Class allocations also can access 50GB of shared storage temporarily. The standard number of cores is 20 on one node.
  • Workshops

    UVA Research Computing provides training opportunities covering a variety of data analysis, basic programming and computational topics. All of the classes listed below are taught by experts and are freely available to UVa faculty, staff and students. Upcoming Workshops Workshops for 2020 have been moved to online learning formats due to campus closures from COVID-19. DATE WORKSHOP INSTRUCTOR 10/07/2020 Intro to Shiny Apps Christina Gancayco 10/09/2020 Data Science with Matlab Ed Hall 10/13/2020 Using Rivanna from the Command Line Gladys Andino 10/14/2020 Building Software Containers for Rivanna Ruoshi Sun 10/15/2020 Biopython Karsten Siller 10/21/2020 Customizing Shiny Apps Christina Gancayco 10/23/2020 Using the Julia Programming Language on Rivanna Ed Hall 10/24/2020, 11/01/2020 Tensorflow – Turning the Knobs (Overview and Q&A) Jacalyn Huband 11/12/2020 Automation of Image Processing with Fiji/ImageJ and OMERO Karsten Siller 11/17/2020 Using Bioinformatics Tools on Rivanna Gladys Andino Research Computing is partnering with the Research Library and the Health Sciences Library to deliver workshops covering a variety of research computing topics.