/tag/rc

  • Data Analytics Center

    The Data Analytics Center is the hub for assisting researchers across Grounds with the management and analysis of large datasets on Research Computing platforms.
    Quick Links How To Request
    DAC Support Include DAC Support
    in Your Grant Budget DAC Analytics
    Resource Awards Services We offer comprehensive computational solutions for your research projects including
    workflow development, software and computing platforms selection, new platform configuration, containerization, coding assistance, code optimization and parallelization, data collection and analysis, and machine learning and artificial intelligence support. Areas of Expertise Our staff have a variety of experience and expertise to assist with your next research project and many have been academic researchers.

  • Digital Technology Core

    The Digital Technology Core (DTC) offers support for researchers who use or would like to use wearables, smartwatches, smartphones, or IoT devices.
    Services We offer comprehensive support for your research projects including
    device selection experimental design on-device software solutions always-on cloud infrastructures Areas of Expertise Our staff have a variety of experience and expertise:
    mobile app development machine learning signal processing noise filtering network protocols Past Collaborations We have years of experience with collaborations. A few of our past collaborations with UVA researchers are below.
    MindTrails Sensus How to Request Support We provide three tiers of support that can each be requested through a support request.

  • UVA Research Computing Exhibition: April 23, 2024

    About This Event: The Research Computing Exhibition will be held on Tuesday, April 23, 2024 in the Newcomb Hall Ballroom. The event will include:
    A panel discussion made up of academic scientific computing experts and research computing faculty and staff. Judged poster session with prizes: First Place: $3,000 travel voucher Second Place: $2,000 travel voucher Third Place: $1,000 travel voucher Light refreshments If you would like to participate in the poster session, please fill out the Intent to Participate Form by Friday, March 15. While all are welcome to present a poster during the exhibition, only UVA affiliated non-faculty submissions will be eligible for the award prizes.

  • Three Tiers For Support

    Tier 1: Training & Technical Support: Research computing provides training for the use of our systems. The training includes onboarding, introductory sessions, and computational workshops. Additionally, we provide technical support to researchers through our online support request form and virtual office hours. Through these formats, we are able to assist researchers with system access issues and troubleshooting computational problems on our systems. These are services that are provided at no-charge to researchers. Tier 2: Consultation: Initial project consultation and assessment are provided at no charge. If determined
    feasible, the DAC team member will advise the researcher of the specific support

  • Mission

    Research Computing empowers UVA researchers to achieve more with cutting-edge computational resources. Our support team strives to create innovative solutions for researchers who need help solving complex optimization, parallelization, workflow, and data analysis issues. We build and maintain the University’s best computing platforms while educating the next generation of researchers on the power of advanced computing.
  • Research Computing Student Workers

    The Research Computing Student Worker Program is dedicated to supporting RC staff and advancing computational research at UVA. Through this program, student workers will undertake short-term projects, relieving RC staff of certain responsibilities and allowing them to devote more time to scaling support for complex, research-domain endeavors. This initiative not only benefits RC staff but also provides students with valuable exposure to high-performance computing (HPC) and scientific computing early in their academic journey. Student Manager: Gladys K. Andino, PhD, Strategic Services and Education Manager For any questions, please email rc-studentjobs@virginia.edu. Check out our Student Workers!
    Adam Eubanks Matthew Galitz Hariprasad Periyasamy Mohan Shankar Steven Siadaty Jennifer Vo Recent Projects Student: Adam Eubanks Project Description: Adam contributed to the XALT containerization project by developing a Docker container for running XALT on UVA RC clusters.

  • Research Computing Staff


  • Acknowledgement in Publications

    Recognition and documentation of the contribution that Research Computing’s systems and support play in breakthrough research is essential to ensuring continued support for and availability of cutting-edge computing resources at The University of Virginia. Please cite UVA Research Computing in any research report, journal article, or other publication that requires citation of an author’s contributions.
    Suggested format:
    The authors acknowledge Research Computing at The University of Virginia for providing computational resources and technical support that have contributed to the results reported within this publication. URL: https://rc.virginia.edu

  • What is Research Computing?

    UVA Research Computing (RC) is a new program that aims to support computational biomedical research by providing advanced cyberinfrastructure and expertise in data analysis at scale. Our mission is to foster a culture of computational thinking and promote interdisciplinary collaboration in various data-driven research domains. We offer services related to high performance computing, cloud architecture, scientific programming and big data solutions. We also aim to promote computationally intensive research at UVA through collaborative efforts such as UVA’s own CADRE (Computation And Data Resource Exchange) and XSEDE (Extreme Science and Engineering Discovery Environment).
    One of our driving philosophies is that researchers already have medical and scientific expertise, and should not have to become computing experts on top of that.