Rivanna

 

Rivanna is the University of Virginia's High-Performance Computing (HPC) system.  Rivanna is open to all faculty, research staff, and graduate students of the University.   All faculty and research staff are eligible for a standard free allocation.  Larger allocations may be requested through the College of Arts and Sciences, the School of Engineering and Applied Science, or the Data Science Institute.  Allocations may also be purchased.  See our allocations page for details.

Rivanna provides a platform for high-performance parallel jobs, for high-throughput computing chores of up to thousands of jobs, and for large-scale data analysis and image processing.  It also supports accelerator technologies, including general-purpose graphical processing units (GPGPUs) and Intel Many-Integrated Cores Knight's Landing systems. 

For more information about accessing and using Rivanna, see our Getting Started Guide.

 

System Overview

Rivanna provides a high-performance computing environment for all user levels.  

Number of cores per node RAM per node Number of nodes
20 128GB 240
28 256GB 25
16 1TB 5
28+4 K80 GPU 256 10
28+4 P100 GPU 256 4
64 Knight's Landing 196 8

All nodes share a Lustre filesystem for temporary storage with up to 1.4PB of storage space for all users.   Each user is assigned space with a default quota of 10TB of storage per user.  Groups may lease permanent storage from ITS which can be mounted to Rivanna.

Usage Policies

Research computing resources at the University of Virginia are for use by faculty, staff, and students of the University and their collaborators in academic research projects.  Personal use is not permitted.  Users must comply with all University policies for access and security to University resources.  The HPC system has additional usage policies to ensure that this shared environment is managed fairly to all users.

Frontends

Exceeding the limits on the frontend will result in the user’s process(es) being killed. Repeated violations will result in a warning; users who ignore warnings risk losing access privileges. 

Software Licenses

Excessive consumption of licenses for commercial software, either in time or number, if determined by system and/or ARCS staff to be interfering with other users' fair use of the software, will subject the violator's processes or jobs to termination without warning.  Staff will attempt to issue a warning before terminating processes or jobs but inadequate response from the violator will not be grounds for permitting the processes/jobs to continue.

Inappropriate Usage

Any violation of the University’s security policies, or any behavior that is considered criminal in nature or a legal threat to the University, will result in the immediate termination of access privileges without warning.