/tag/allocations

  • Rivanna

    Rivanna is the University of Virginia’s High-Performance Computing (HPC) system. As a centralized resource it has hundreds of pre-installed software packages available for computational research across many disciplines. Currently the Rivanna supercomputer has 603 nodes with over 20476 cores and 8PB of various storage.
    All UVA faculty, staff, and postdoctoral associates are eligible to use Rivanna, or students when part of faculty research.
    Facilities Statement - Are you submitting a grant proposal and need standard information about UVA research computing environments? Get it here. The sections below contain important information for new and existing Rivanna users. Please read each carefully.

  • Allocations

    function setCookie(key, value, expiry) { var expires = new Date(); expires.setTime(expires.getTime() + (expiry * 60 * 60 * 1000)); document.cookie = key + ‘=’ + value + ‘;expires=’ + expires.toUTCString() + ‘;path=/'; } function getCookie(key) { var keyValue = document.cookie.match('(^|;) ?’ + key + ‘=([^;]*)(;|$)'); return keyValue ? keyValue[2] : null; } function gen_random(length) { var text = “"; var possible = “ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789”; for (var i = 0; i var user_token = getCookie("__user_token”); Time on Rivanna is allocated as Service Units (SUs). One SU corresponds to one core-hour. Multiple SUs make up what is called an allocation (e.
  • Pricing

    Below is a schedule of prices for Research Computing resources.
    Rivanna Allocations Type SU Limits Cost SU Lifetime Standard None Free 12 months Purchased None $0.01 Forever Instructional 100,000 Free 2 weeks after last teaching session About Allocations
    Storage Name Security Cost Research Project Standard $60 TB/year Research Standard Standard $45 TB/year ZFS Standard $30 TB/year – Ivy Central Storage High $45 TB/year Ivy NAS Storage High $60 TB/year – Storage Details Request Storage

  • ACCORD: Jupyter Lab

    Back to Overview
    Jupyter Lab allows for interactive, notebook-based analysis of data. A good choice for pulling quick results or refining your code in numerous languages including Python, R, Julia, bash, and others.
    Learn more about Jupyter Lab

  • ACCORD: RStudio

    Back to Overview
    RStudio is the standard IDE for research using the R programming language.
    Learn more about RStudio

  • ACCORD: Theia IDE

    Back to Overview
    Theia Python is a rich IDE that allows researchers to manage their files and data, write code with an intelligent editor, and execute code within a terminal session.
    Learn more about the Theia Python IDE

  • FastX Web Portal

    Overview FastX is a commercial solution that enables users to start an X11 desktop environment on a remote system. It is available on the Rivanna frontends. Using it is equivalent to logging in at the console of the frontend.
    Using FastX for the Web We recommend that most users access FastX through its Web interface. To connect, point a browser to:
    https://rivanna-desktop.hpc.virginia.edu
    Off Campus? Connecting to Rivanna from off Grounds via Secure Shell Access (SSH) or FastX requires a VPN connection. We recommend using the UVA More Secure Network if available. The UVA Anywhere VPN can be used if the UVA More Secure Network is not available.

  • Open OnDemand

    Overview Open OnDemand is a graphical user interface that allows access to Rivanna via a web browser. Within the Open OnDemand environment users have access to a file explorer; interactive applications like JupyterLab, RStudio Server & FastX Web; a command line interface; and a job composer and job monitor.
    Logging in to Rivanna Rivanna is accessible through the Open OnDemand web client at https://rivanna-portal.hpc.virginia.edu. Your login is your UVA computing ID and your password is your Netbadge password. Some services, such as FastX Web, require the Eservices password. If you do not know your Eservices password you must change it through ITS by changing your Netbadge password (see instructions).

  • Open OnDemand: File Explorer

    Open OnDemand provides an integrated file explorer to browse and manage small files. Rivanna has multiple locations to store your files with different limits and policies. Specifically, each user has a relatively small amount of permanent storage in his/her home directory and a large amount of temporary storage (/scratch) where large data sets can be staged for job processing. Researchers can also lease storage that is accessible on Rivanna. Contact Research Computing or visit the storage website for more information.
    The file explorer provides these basic functions:
    Renaming of files Viewing of text and small image files Editing text files Downloading & uploading small files To see the storage locations that you have access to from within Open OnDemand, click on the Files menu.

  • Open OnDemand: Job Composer

    Open OnDemand allows you to submit Slurm jobs to the cluster without using shell commands.
    The job composer simplifies the process of:
    Creating a script Submitting a job Downloading results Submitting Jobs We will describe creating a job from a template provided by the system.
    Open the Job Composer tab from the Open OnDemand Dashboard.
    Go to the New Job tab and from the dropdown, select From Template. You can choose the default template or you can select from the list.
    Click on Create New Job. You will need to edit the file that pops up, so click the light blue Open Editor button at the bottom.

  • Slurm Job Manager

    var cursor = true; var speed = 280; setInterval(() = { if(cursor) { document.getElementById(‘cursor’).style.opacity = 0; cursor = false; }else { document.getElementById(‘cursor’).style.opacity = 1; cursor = true; } }, speed); // Add event listener on keydown document.addEventListener(‘keydown’, (event) = { var name = event.key; if ( name === ‘y’ ) { window.location.href = “/quiz/slurm/"; } else if ( name === ‘n’ ) { $('#slurm-modal').modal(‘hide’); } }, false); SLURM Would you like to take an interactive SLURM quiz? y/N |
    Overview Rivanna is a multi-user, managed environment. It is divided into login nodes (also called frontends), which are directly accessible by users, and compute nodes, which must be accessed through the resource manager.