Research IT

provides research data and computing technologies, consulting, and community for the UC Berkeley campus. Our goal is to advance research through IT innovation.

Status and Service Updates

Savio Downtime: Friday, May 31, 2024

We have scheduled a Savio downtime to accommodate the power maintenance work required in the data center at Earl Warren Hall. HPC services will be unavailable during the downtime since all the HPC hardware will be powered down at 8:00 AM on Friday, May 31st. We plan to bring the Savio cluster back online before the end of the day. A scheduler reservation is already in place to ensure no jobs run after 8:00 AM on Friday, May 31st. If you plan to submit jobs, please ask for appropriate wall time to complete them before the downtime. Otherwise, your jobs will wait in the queue until the cluster is back online.

No office hours on Wed, 5/8 - Thurs, 5/9

Research IT will not be holding our regular office hours during the week of Spring Break, 5/6 - 5/10. Please get in touch with us at research-it@berkeley.edu for any help in the meantime.

Savio HPC services are back online: Tues, 3/26

The Savio HPC services are back online. Taking this opportunity, we have another exciting news to share. The Savio Supercluster currently uses a CentOS 7 Linux operating system. CentOS 7 will reach the end of life on June 30, 2024. Thus, we have planned to migrate to a new operating system, Rocky 8, to keep the system functional and secure. More information on this forthcoming.

Scheduled Savio downtime: Mon, March 25

We have scheduled a Savio downtime to accommodate the power maintenance work. The downtime will start at 5:00 PM on Monday, March 25th. All the HPC hardware will be powered down; thus, HPC services will be unavailable during the downtime. We expect to bring back the cluster online before 5 PM on Wednesday, March 27th. A scheduler reservation will be in place to ensure no jobs run after 5:00 PM on Monday, March 25th. If you plan to submit jobs, please ask for proper wall time so they can be completed before the downtime. Otherwise, your jobs will wait in the queue until the cluster is back online.

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