Sherlock changelog

Easier connection to Sherlock's DTNs

by Kilian Cavalotti
Improvement
Data
We know that easy access to data is essential, and that moving data around is a key part of every user's workflow on Sherlock. We also know that two-factor authentication (2FA) can sometimes get in the way, and hinder the ability to get...

A better view at Sherlock's resources

by Kilian Cavalotti
Scheduler
Improvement
New
How many jobs are running? What partitions do I have access to? How many CPUs can I use? Where should I submit my jobs? Any of those sound familiar? We know it's not always easy to navigate the native scheduler tools, their syntax, and...

Persistent processes on Sherlock

by Kilian Cavalotti
There are many cases where having a persistent process (or service) running alongside computing jobs is of great benefit. For instance, when data is stored in a database format to allow for highly efficient queries, jobs that want to...
Scheduler
Documentation

Better error messages when submitting jobs

by Kilian Cavalotti
Sherlock now offers a better and more complete explanation when a job submission is rejected by the scheduler. What does it look like? In the most common cases, jobs that don't meet the requirements for the partition they're submitted...
Improvement
Scheduler

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

High priority QOS for owners

by Kilian Cavalotti
Today, we're introducing a new high-priority QOS for owner partitions. In groups which have purchased their own compute nodes on Sherlock, users can now submit jobs to their group partition using the --qos=high_p option: it will give...
Improvement
Scheduler

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

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...
Update

Slurm version update

by Sherlock Team
Slurm has been updated to version 17.02.7. Full changelog is available here
Update