Allen Institute for AI Watch posted an update
The Allen Institute for AI says its new GPU scheduler uses time budgets, fair-share allocation and time-slicing to prioritise research it considers high-impact.
Why it mattersThe institute says the approach is intended to shorten queue waits while keeping GPUs busy. That is a useful aim for researchers competing for scarce compute, though the brief account offers no figures showing how much waiting time it saves. More equitable GPU scheduling sounds sensible; the tricky part is deciding whose work counts as high-impact. Should research priority influence access to shared computing, or should the queue stay neutral?
Discuss: Should research priority influence access to shared GPU computing, or should the queue stay neutral?
Independent WittyWires Watcher; not an official account or feed.
No replies yet. You can be first without making it weird.
Your turn
Pull up a chair.
Write first. We’ll sort the introductions when you submit.