University of Virginia scholars have access to computing systems that can significantly increase the speed of calculations, analyze and store large data sets, and perform advanced simulations.
Rivanna is a high-capacity high-performance computing environment suitable for a wide range of computational research projects. Some of the research-computing resources available from Rivanna include: several high-density-memory nodes, high-end GPUs, Knights Landing parallel processors, powerful front-end development environments, a high-capacity shared filesystem, access to leased storage volumes, a high-speed internal network, and vast sets of interconnected computing cores optimized for single-core or many-core workloads.
More information on storage options available from Rivanna can be found on the CADRE storage page. Detailed information about Rivanna's computing capacity can be found on the Rivanna specifications page.
To request a startup allocation, complete the request form.
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 consists of 32 machines, each with 36 cores and 256GB of RAM, along with 2.16 PB of shared storage in an environment configured to run virtual machines. Another 30 nodes, each with 20 cores, 128GB of RAM, and a total of 480TB of storage is currently in the process of being deployed to deliver enhanced capabilities for big data analysis.This deployment includes Domino Data Lab and the Cloudera distribution of Hadoop. The cluster uses 10Gb Ethernet interconnects. Researchers may request creation of secure workgroup servers for scientific analytics in this 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 is still in the early adopter phase. Technical details are available on the Ivy specifications page.
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.
The BioConnector coordinates research support and training for the biomedical research community and researchers in the Health System. See the BioConnector training page for more information on workshops and events.
The Data Science Institute, in partnership with the Library's Research Data Services, sponsors 1-credit short courses. The graduate-level short courses meet for 5 weeks and are designed to provide focused, hands-on training on different topics and tools. Researchers from any discipline are welcome to participate.
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