Fair-share scheduling policy
From ALICE Documentation
Revision as of 13:14, 20 April 2020 by Dijkbvan
Each user submitting jobs is allocated a share of computing resources. If a given user's jobs have exceeded their share the last 2 weeks, their default job priority will be decreased relative to a user who hasn't consumed their full share for that period. Heavy usage further in the past is also considered but has less impact on job priority (older jobs and usage levels have exponentially less impact than recent ones).
Additionally, as GPUs are a scarce resource, each user is limited to 8 GPU jobs either running or queued. Further GPU jobs are blocked until running GPU jobs complete, allowing other users to queue jobs ahead of the blocked jobs.
|Partition||MaxNodesPerUser||MaxJobsinQueue (running and waiting)||MaxTime|