timestamp1568310240001
🎉 Job #50,000,000!
by Kilian Cavalotti
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...
timestamp1556922960001
A better view at Sherlock's resources
by Kilian Cavalotti
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...
timestamp1541457360001
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...timestamp1537307580001
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...timestamp1536359280001
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...timestamp1533166320001
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...timestamp1522433700001
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...timestamp1522097579000
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...timestamp1502831300000
Slurm version update
by Sherlock Team
Slurm has been updated to version 17.02.7. Full changelog is available here
Subscribe to updates