NOTICE: FULL O2 Cluster Outage, January 3 - January 10th

O2 will be completely offline for a planned HMS IT data center relocation from Friday, Jan 3, 6:00 PM, through Friday, Jan 10

  • on Jan 3 (5:30-6:00 PM): O2 login access will be turned off.
  • on Jan 3 (6:00 PM): O2 systems will start being powered off.

This project will relocate existing services, consolidate servers, reduce power consumption, and decommission outdated hardware to improve efficiency, enhance resiliency, and lower costs.

Specifically:

  • The O2 Cluster will be completely offline, including O2 Portal.
  • All data on O2 will be inaccessible.
  • Any jobs still pending when the outage begins will need to be resubmitted after O2 is back online.
  • Websites on O2 will be completely offline, including all web content.

More details at: https://harvardmed.atlassian.net/l/cp/1BVpyGqm & https://it.hms.harvard.edu/news/upcoming-data-center-relocation

Improving O2 Efficiency by Changing User Priority

Owned by Gaby Rodriguez
Last updated: Feb 14, 2024 by Calvin Cox
1 min read

This page has been consolidated to Job Priority

Beginning on November 2022, HMS-RC started to lower the job priority of O2 Users who consistently request substantially more cluster RAM memory than they actually use.

The goal of this initiative is to help researchers get more science done.

HMS-RC will not penalize jobs that are only slightly inefficient, small batches of jobs, or interactive sessions. Inefficient jobs hurt O2's productivity for everyone, increasing pending times both for those submitting those jobs and for others waiting in the queue. So improving jobs' efficiency will help all Users.

A User significantly over requesting memory will first receive a warning notice; if no attempt is done to improve RAM efficiency the User’s priority will be lowered and we will notify the User again.

All notifications will be sent to the email address listed in the User .forward file ($HOME/.forward)

This priority reduction is temporary and will be automatically removed once the User’s efficiency improves.

To learn more about job efficiency and learn how you can identify your RAM utilization please check our wiki page Optimizing O2 jobs

Research Computing Consultants are happy to work with any researchers on correctly estimating resources for their job submissions.

If you have any question or concern, please contact us at rchelp@hms.harvard.edu.

 

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