UVA Research Computing

Research Computing

Creating innovative solutions for researchers

Maintenance Day: October 12, 2021

The Globus data transfer nodes (DTNs) and Rivanna’s parallel nodes will be down for maintenance on Tuesday, October 12, 2021, between 8 a.m. and 4 p.m. Users will be unable to transfer data using Globus or run parallel jobs on Rivanna during this period. All other systems and services—including storage—are expected to continue operating normally. IMPORTANT MAINTENANCE NOTES The following Rivanna software changes will be implemented during the maintenance period: IDL/8.4- replaced by 8.8 (8.7.2 still available) ANSYS default version changing from 2021r1 to 2021r2 Read more →

Inaugural Event: Virginia Women in HPC, October 6

We are proud to announce the founding of Virginia’s first Women in High-Performance Computing (WHPC) program. Join Virginia WHPC for its inaugural event featuring inspiring lightning talks by female faculty of the Commonwealth sharing and discussing how HPC has facilitated their scientific research and professional careers. This virtual event is jointly hosted by Virginia Commonwealth University, George Mason University, Virginia Tech, William & Mary, University of Richmond, and Research Computing at the University of Virginia. REGISTER NOW!   Our speakers: Julie Quinn (UVA) is an Assistant Professor in the Department of Engineering Systems and Environment at the University of Virginia. Read more →

Breaking News: AlphaFold is now available on Rivanna!

We are pleased to announce that AlphaFold is now available on Rivanna! Here are some of our user’s first few protein structure prediction calculations on Rivanna.

Simple ZFc protein: Similar results for AlphaFold (brown) and I-TASSER (blue). (This figure was created with the RCSB Pairwise Structure Alignment tool.)

146PduD-linker-ZFc protein: AlphaFold’s (left) superior ability to predict secondary structure, a β-sheet in its green-yellow region, whereas I-TASSER (right) is not sufficiently refined to feature any β-strands. (This figure was created with NGL Viewer.) (Credits: David Bass and Prof. Keith Kozminski, Department of Biology) FAQ What is AlphaFold? AlphaFold is an AI for protein structure prediction developed by Google DeepMind.

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ITS home1 directories unavailable on Rivanna

ITS has completed phase 1 of its network reconfiguration and ITS NAS storage volumes have been remounted on Rivanna. RC managed Value and Project storage are also fully available. ITS home1 directories, including /nv/t* mounts, remain unavailable on Rivanna. Users will still be able to mount ITS home1 storage to their local workstations and transfer their data via Globus and the UVA Main DTN. We regret the inconvenience. Read more →

Rivanna Maintenance: Phase 1 Completed

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. Read more →

Rivanna Maintenance Update: 12/18/20, 02:30 pm EST

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. Read more →

Rivanna Maintenance Extended

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. Read more →

Rivanna Maintenance: December 16-17, 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. Read more →

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. Read more →

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. Read more →

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. Read more →

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. Read more →

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. Read more →

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. Read more →

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. Read more →