Phase 1 of the maintenance period is now complete. Rivanna’s standard, GPU, largemem, and front-end nodes have been returned to service. Pending jobs that were submitted before the maintenance began need to be resubmitted.
Rivanna’s parallel nodes will be released in phase 2 which we anticipate being finished by 5 p.m. on Tuesday, December 22.
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In order to expedite users' access to the system, Rivanna will be returned to service in 2 separate phases:
During phase 1, which is expected to be completed in fewer than 72 hours from now, the standard, GPU, largemem, and front-end nodes will be reactivated. Rivanna’s parallel nodes will be released in phase 2 which should be finished within the 72-hour timeframe.
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The maintenance period has been extended for another 72 hours minimum. We apologize for the inconvenience. Rivanna was expected to return to service on December 17, but ongoing electrical work in the data center and other obstacles have delayed our engineering team’s progress.
We will send out an e-mail announcement as soon as the maintenance period ends. Updates will also be posted on our website.
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Rivanna will be down for maintenance on Wednesday, December 16 & Thursday, December 17, beginning at 6 a.m. on December 16.
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.
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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.
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MathWorks engineers will offer a free live webinar on September 15th from 2:00 to 3:00 Eastern time.
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MathWorks engineers will offer a free live webinar on September 22nd from 2:00 to 3:30 Eastern time.
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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:
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Rivanna will be down for maintenance on Wednesday, June 17, 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.
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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.
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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.
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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.
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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.
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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 log in to JIRA after the migration is completed, you will need to change your password using your UVA e-mail address.
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Beginning 10/14/2019 RC system engineers will begin actively clearing /scratch files that have not been accessed for 90 days. /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.
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Learn about recent changes implemented during the Sept. 17, 2019 maintenance.
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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
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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.
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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.
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From his lab in the Center for Public Health Genomics at UVa, Nathan Sheffield seeks to develop a deeper understanding of functional genomics. Dr. Sheffield and his collaborators study epigenetic mechanisms, including DNA methylation, which can involve analyzing enrichment of genomic region set data. By identifying patterns of enriched genomic regions, one can differentiate between normal and diseased gene regulation. Dr. Sheffield builds on this research focus as well as a history of open-source software development with the publication of LOLAweb: A containerized web server for interactive genomic locus overlap enrichment analysis as part of a special web server issue of Nucleic Acids Research.
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