UVA School of Medicine

Research Computing

Enabling scientific breakthroughs at scale with advanced computing

/tag/rivanna

  • Use Cases

    Web Distributions Donec fermentum eu tortor eu dignissim. Curabitur elit diam, tempor in dui non, tincidunt rhoncus risus. Praesent pharetra nisl elit, vitae commodo odio rutrum et. Praesent ac ligula pharetra, mollis lorem tristique, convallis leo. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Nulla facilisi. Cras sit amet euismod elit, et iaculis ipsum. Fusce aliquet mauris sit amet elit euismod, in varius justo suscipit.
  • Globus Data Transfer

    Globus - Unified access to your research data, across all systems, using any existing identity. Systems such as: Laptops HPC clusters Lab / departmental storage Tape archives and Cloud storage Access them all using just a web browser. This can help you share research data with colleagues, co-investigators, or to move data back and forth between a lab workstation and Rivanna or your personal computer. Data stored at a different institution?
  • Storage for Researchers

    The following storage options are available through CADRE, UVA’s Computation and Data Resource Exchange. - - -

    UVA Research Computing provides multi-tiered storage solutions for your data. From the individual cloud storage solution for your personal computing to the high-performance parallel file system for serious computational runs, various storage solutions are available for your need. In order to help you find the right storage, let’s start with one simple question:


  • Get Started with HPC

    HPC at UVA is available in two security environments: Rivanna - Standard Security A traditional high performance cluster with job scheduler, large file system, modules, and MPI processing. Please see the ARCS page for how to begin working in Rivanna. Get Started on Rivanna Ivy - High Security A multi-platform, HIPAA-compliant system for secure data that includes dedicated virtual machines (Linux and Windows), Domino Data Lab, and Hadoop/Spark.
  • High Performance Computing

    This page is for HPC information.
  • Scientific Computing

    School of Medicine Research Computing supports SOM and UVa Medical Center researchers who are interested in writing code to address their scientific inquiries. Whether these programming tasks are implemented interactively, in a series of scripts or as an open-source software package, services are available to provide guidance and enable collaborative development. SOMRC has specific expertise in object oriented programming in R and Python. Examples of service areas include: Collaborating on package development Reviewing and debugging code Preparing scripts to automate or expedite tasks Developing web interfaces for interactive data exploration Advising on integration of existing software tools UVA has two local HPC facilities available to researchers: Rivanna and Ivy.