Sherlock changelog

www.sherlock.stanford.edu

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

Tracking NFS problems down to the SFP level

by Kilian Cavalotti

This is part of our technical blog series about things that happen behind-the-scenes on Sherlock, and which are part of our ongoing effort to keep it up and running in the best possible conditions for our beloved users. For quite a long

Tracking NFS problems down to the SFP level

Sherlock is hard at work against COVID-19

by Kilian Cavalotti,

About a month ago, we announced that we were dedicating a portion of Sherlock's computing resources to research projects around COVID-19. Since then, more than 15 PIs and research groups have reached out to share their projects, and their

Adventures in storage

by Kilian Cavalotti,

_This is part of our blog series about behind-the-scenes things we do on a regular basis on Sherlock, to keep it up and running in the best possible conditions for our users. Now that Sherlock's old storage system has been retired, we can

When setting an environment variable gives you a 40x speedup

by Kilian Cavalotti,

Today, we’d like to share some of our recent work on Sherlock that allowed a pretty significant speedup when listing files in directories with a lot of entries. Unlike our usual announcements, this post is more of a behind-the-scenes

When setting an environment variable gives you a 40x speedup

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 click

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

Sherlock 2.0 limits increased

by Sherlock Team

We started migrating compute nodes from Sherlock 1.0 to Sherlock 2.0, as part of the 2nd phase of the transition process described in the Sherlock 2.0 transition guide. That means that more nodes are now available on Sherlock 2.0, in both

Slurm version update

by Sherlock Team

Slurm has been updated to version 17.02.7. Full changelog is available here

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