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  • Rivanna Maintenance: Sept 22, 2020

    Rivanna will be down for maintenance on Tuesday, September 22, beginning at 8:30 a.m. It is expected to return to service later in the day. RC engineers will be installing new hardware that is needed to stabilize the /scratch filesystem.
    You may continue to submit jobs until the maintenance period begins, but if the system determines your job will not have time to finish, it will not start until Rivanna is returned to service.
    If you have any questions or concerns about the maintenance period, please contact our user support team at hpc-support@virginia.edu.

  • Automated Image Labeling and Iterative Learning - Live Seminar: September 15, 2020

    MathWorks engineers will offer a free live webinar on September 15th from 2:00 to 3:00 Eastern time.
  • Deep Learning for Neuroscience - Live Seminar: September 22, 2020

    MathWorks engineers will offer a free live webinar on September 22th from 2:00 to 3:30 Eastern time.
  • Important Notes from the 17 September Rivanna Maintenance

    Learn about recent changes implemented during the Sept. 17, 2019 maintenance.
  • Fall 2019 Workshop Series

    RC staff are teaching a series of free hands-on workshops this fall that are open to all UVA researchers. Space is limited, so register today! Topics include:
    Image Processing with Fiji/ImageJ (Sept 11) MATLAB Fundamentals (Sept 12) Programming in MATLAB (Sept 19) Optimizing R Code (Sept 24) Parallel Computing in MATLAB (Sept 26) Introduction to Parallel R (Oct 1) Machine Learning with MATLAB (Oct 3) Automation of Image Processing with Fiji/ImageJ (Oct 9) Deep Learning with MATLAB (Oct 17) Moving R Programs to Rivanna (Oct 17) Browse Workshops

  • Featured Projects & Collaborations

    UVA Research Computing strives to empower researchers to achieve more through the use of cutting-edge computational resources.
    This has led to fruitful collaborations with researchers and staff across grounds, including these groups and departments:
    Astronomy Biochemistry and Molecular Genetics Biomedical Engineering Center for Applied Biomechanics Center for Advanced Medical Analytics Center for Behavioral Health and Technology Center for Diabetes Technology Center for Public Health Genomics Economics Emergency Medicine Environmental Sciences Infectious Diseases Public Health Sciences Materials Science & Engineering Pediatrics–Neonatology Radiology and Medical Imaging Surgery UVA Sinklab To browse a gallery of recent projects, visit our Projects page below.

  • Summer 2019 Education Series

    RC staff are teaching a series of free hands-on workshops this summer that are open to all UVA researchers. Space is limited, so register today! Topics include:
    Programming in Python (June 3-June 5) R (June 3-June 4) MATLAB (June 5-June 7 and June 13) Compiled Languages, C++ and Fortran (June 6-June 7) Scientific Image Processing with Fiji/ImageJ (June 10) Introduction to High-Performance Computing (June 10) Software Design and Testing (June 11) HPC Data Analytics (June 11) Parallel Programming Using MPI (June 12-June 13) Bioinformatics (June 12) Scientific Visualization (June 14) OpenMP and Accelerators (June 14) Register through the new CADRE Academy portal.

  • 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.