UVA School of Medicine

Research Computing

Enabling scientific breakthroughs at scale with advanced computing

/tag/gcp

  • Computing Systems

    UVA Research Computing can help you find the right system for your computational workloads. From supercomputers to HIPAA secure systems to cloud-based deployments with advanced infrastructure, various systems are available to researchers. Rivanna HPC 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 Secure Platform A multi-platform, HIPAA-compliant system for secure data that includes dedicated virtual machines (Linux and Windows), Domino Data Lab, and Hadoop/Spark.

  • Cloud Storage Solutions

    Amazon Web Services Tiered object storage Amazon S3 and Glacier offer cloud-based, affordable, unlimited capacity for storage from anywhere. Advanced features include scalability, lifecycle management, encryption, and sharing. S3 is ideal for static files that need to be retrieved from any location (PDFs, images, video, etc.). Glacier is archival storage, perfect for grant compliance that reqires data retention. How SOMRC can help: Lower pricing - UVA has an Internet2 discount available for educational use.
  • Bioinformatics User Guides

    Bioinformatics on Rivanna UVA’s High-performance Computing Cluster All faculty, research staff and graduate students of UVA have access to Rivanna, university’s high-performance computing system with 290+ compute nodes (6500+ cores) for high-throughput multithreaded jobs, parallel jobs as well as memmory intensive large-scale data analyses. The architecture is specifically suited for large scale distributed genomic data analysis, with 100+ bioinformatics software packages installed and ready to use. Learn more Bioinformatics using FireCloud FireCloud Home