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
No office hours on Wed, 3/27 - Thurs, 3/28
Research IT will not be holding our regular office hours during the week of Spring Break, 3/25 - 3/29. 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.
News Articles
Introducing the New Research IT Website
Research IT is very excited to announce the launch of the new Research IT website. The site is now hosted on Open Berkeley to match other campus websites and comes with enhanced security and accessibility features as well as Berkeley branding.
One...Read more about Introducing the New Research IT Website
UC Berkeley Cloud Computing Meetup
UC Berkeley research labs have been at the forefront of the design and planning for much of today's cloud computing industry. Meanwhile the University's own teams run cloud based production systems including those that support the teaching of data
Jupyter notebook streamlines machine translation for researchers
The increasing prominence of interdisciplinary studies, coupled with the mass digitization and dissemination of primary sources and scholarly literature alike, has made it possible for scholars to pursue boundary-defying research agendas in ways that were previously impossible
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