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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.
  • R Updates: June 17, 2020

    During the June maintenance, we made changes to R which will affect how your R programs run on Rivanna. A brief description of the changes is as follows:
  • Rivanna Maintenance: June 17, 2020

    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.


  • RC Acquires New Accounting Management Software for Rivanna

    Research Computing will be activating a new accounting management package for Rivanna on June 17, 2020. The software was purchased from Adaptive Computing, which specializes in advanced management applications for high-performance systems. Rivanna users can expect to see more accurate reporting on their Service Unit (SU) balances and burn rates. Information on usage by individual members of an allocation group will also be available. Commands such as allocations will remain but will reflect the new accounting. Users should be aware that the new accounting system implements “liens” on running jobs, and that the SUs requested for each job will be held in a reserved pool until the job completes.
  • Rivanna Software Updates: March 11, 2020

    The Rivanna maintenance has been completed on March 11 and the system is back in service. The following software modules have been removed from Rivanna during the maintenance period. Please use the suggested newer versions: gcc/5.4.0 & toolchains -> 7.1.0 All modules that depend on gcc/5.4.0 are now available under gcc/7.1.0. The only exception is cushaw3/3.0.3. Please contact us if you need to use it. pgi/19.7 & toolchains -> 19.10 All modules that depend on pgi/19.7 are now available under pgi/19.10. anaconda/5.2.0-py2.7 -> 2019.10-py2.7 All modules that depend on anaconda/5.2.0-py2.7 are now available under anaconda/2019.
  • Rivanna Maintenance: March 11, 2020

    Rivanna will be down for maintenance on Wednesday, March 11, beginning at 6 a.m. 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. Rivanna is expected to return to service later in the day. The following software modules will be removed from Rivanna during the maintenance period (please use the suggested newer versions): gcc/5.4.0 & toolchains -> 7.1.0 All modules that depend on gcc/5.4.0 will be available under gcc/7.1.0. The only exception is cushaw3/3.
  • Rivanna Maintenance: December 18, 2020

    Rivanna will be taken down for routine maintenance on Wednesday, December 18, beginning at 6 a.m. 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. Rivanna is expected to return to service by 6 a.m. on Thursday, December 19.
  • JIRA Downtime: December 13, 2020

    The JIRA ticketing system will be taken offline on Friday, December 13 from 6 p.m. to 9 p.m. while our system engineers continue the process of migrating the ticketing system from a local environment to the cloud. Please avoid submitting requests during this period if possible. Although moving to a cloud-based ticketing system will improve the speed and efficiency of our customer service in the long run, in the short-term it may cause disruptions for some users. If you are unable to login to JIRA after the migration is completed, you will need to change your password using your UVA e-mail address.
  • `/scratch` Policy Enforcement

    RC system engineers will begin actively clearing /scratch files more than 90 days old beginning 10/14/2019. /scratch is intended as a temporary work directory (90 days maximum). It is not backed up and needs to be purged periodically in order to maintain a stable HPC environment. We encourage users to back up their important data. RC offers several low-cost storage options to researchers. For more information about research computing storage options: Visit our Storage Overview page. Learn more about specific storage features of Rivanna HPC.
  • 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) Imagining Data Mangement with OMERO (Oct 16) 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.