Rivanna is a high-performance computing cluster suitable for a range of computational tasks. Connections can be made easily from any workstation on UVa grounds and while off-grounds using the UVa Anywhere VPN. Rivanna can be used for computationally-intensive jobs and parallel programs. Each user is given a home directory with up to 54 GB of storage, with a larger temporary storage for working files. Information on longer-term storage options accessible on Rivanna can be found on the CADRE storage page. A technical description of the cluster is available on the Rivanna specifications page.
To request a startup allocation, complete the request form.
Sign up for an Orientation Session on the ARCS webpage for a more detailed look into using Rivanna for your computation.
Ivy: Secure Compute Environment
UVA's newest cloud infrastructure is a secure compute environment for sensitive data, providing researchers access to high performance computation and large volumes of memory and storage in a protected environment. Ivy will enhance the capacity of UVA researchers to access and perform sophisticated analysis on sensitive data (for example, data covered by HIPAA or FERPA that contain identifiable information). Ivy can be used in the following ways: using highly-configurable virtual machines that allow for specific software installation (after approval), and using Domino Data Lab for big data analysis via browser-based tools. Researchers may request creation of secure workgroup servers for scientific analytics in this environment. Ivy is still in the early adopter phase. Technical details are available on the Ivy specifications page.
To request access, complete the request form.
Training and Support
The Library's Research Data Services (RDS) offers consultations and coordinates workshops on data analysis and statistics, computation and programming, and GIS methods and software. See the RDS training page for a list of current course offerings.
Advanced Research Computing Services (ARCS) offers consultations on computation-intensive projects, Rivanna orientation sessions by appointment, as well as workshops, programming short courses, and semester-length courses on research computing for graduate students. See the ARCS course page for a list of current offerings.
School of Medicine Research Computing (SOMRC) supports computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale for the School of Medicine. They offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. See the SOMRC workshop page for a list of current offerings.
Research & Data Services @ Claude Moore Health Sciences Library (Data @ HSL) helps guide researchers, students, and medical professionals in finding biomedical data, cleaning and wrangling the data, analyzing the data, and creating publication-ready visualizations through one-on-one consultations and workshops. See the Data @ HSL Workshops for a list of current course offerings.
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