Sherlock changelog

Sherlock changelog

www.sherlock.stanford.edu

Job #1, again!

by Kilian Cavalotti, Technical Lead & Architect, HPC
This is not the first time, we’ve been through this already (not so long ago, actually) but today, the Slurm job id counter was reset and went from job #67043327 back to job #1.
Event
Scheduler

Keep up to date with software updates

by Kilian Cavalotti, Technical Lead & Architect, HPC
To help users stay on top of software changes on Sherlock, we’ve recently introduced a new software updates RSS feed. It’s available from the Sherlock software list page, and you can directly add it to your RSS reader of choice. And if
Software
Update

3.3 PFlops: Sherlock hits expansion milestone

by Kilian Cavalotti, Technical Lead & Architect, High Performance Computing
Hardware
Event
Sherlock is a traditional High-Performance Computing cluster in many aspects. But unlike most of similarly-sized clusters where hardware is purchased all at once, and refreshed every few years, it is in constant evolution. Almost like a
3.3 PFlops: Sherlock hits expansion milestone

Job #1

by Kilian Cavalotti
If you've been submitting jobs on Sherlock over the last couple days, you probably noticed something different about your your job ids... They lost a couple digits! If you submitted a job last week, its job id was likely in the 67,000...
Event
Scheduler

🎉 Job #50,000,000!

by Kilian Cavalotti
Event
We just wanted to share that Sherlock recently ran job #50,000,000! 🎈🎉 This is a significant milestone since Sherlock, in its current form, started running its first job in January 2017. Fifty million jobs in less than 3 years is no...
🎉 Job #50,000,000!

You can now subscribe to Sherlock news and updates

by Kilian Cavalotti
You can now subscribe to Sherlock news and updates, and automatically receive an email notification when a new post is published here. To subscribe to Sherlock updates, follow the steps below: go to https://news.sherlock.stanford.edu...
Improvement
Update

Tensorflow 1.7.0 now available

by Sherlock Team
Tensorflow 1.7.0, which features TensorRT integration, is now available on Sherlock 2.0. You can load it on Sherlock with: $ ml py-tensorflow/1.7.0_py27 > NB: As with all the other Tensorflow modules on Sherlock, Tensorflow 1.7.0...
Software
Update