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.
- Are you submitting a grant proposal and need standard information about UVA research computing environments?
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High Performance Computing - Rivanna
A traditional high performance cluster with a resource manager, a large file system, modules, and MPI processing.
Get Started on Rivanna
Secure Computing for Highly Sensitive Data - Ivy
A multi-platform, HIPAA-compliant system for secure data that includes dedicated virtual machines (Linux and Windows), JupyterLab Notebooks, and Apache Spark.
Get started on Ivy
Secure Computing for Sensitive Data - ACCORD
A web based platform for researchers from different colleges and universities to collaborate, analyze, and store their sensitive data in a central location. ACCORD supports RStudio, JupyterLab, and Theia Python.
Get started on ACCORD
Virtual Machines - Public/Private Cloud
Cloud-based computing solutions are also available in Amazon Web Services, Google Cloud Platform, and our private cloud UVA Skyline. All three provide options for quick deployments, short-term lifecycles, and unique requirements such as GPUs or clusters.
Deploying software in containers has grown increasingly useful for research scenarios. Containers are portable, distributable,
allowing developers to include both code and dependencies (libraries, modules, etc) in a single bundle. We operate
a Kubernetes cluster to support research-oriented microservices.
The Advanced Cyberinfrastructure Coordination Ecosystem: Services and Support (ACCESS) is an NSF-funded virtual organization that integrates and coordinates the sharing of advanced digital services - including supercomputers and high-end visualization and data analysis resources - with researchers nationally to support science.
aws, cloud, compute, containers, hpc, ivy, rivanna