Sherlock changelog

www.sherlock.stanford.edu

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A new tool to help optimize job resource requirements

by Kilian Cavalotti, Technical Lead & Architect, HPC

It’s not always easy to determine the right amount of resources to request for a computing job. Making sure that the application will have enough resources to run properly, but avoiding over-requests that would make the jobs spend too much

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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

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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...

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Running containers on Sherlock

by Kilian Cavalotti

Have you ever wanted to run Docker containers on Sherlock, and skip the hassle of figuring out your application dependencies, installing them, compiling the code, resolving compilation errors, finding missing libraries, or making sure...

Running containers on Sherlock

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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...

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MySQL on Sherlock

by Kilian Cavalotti

Have you ever wondered how you could use a database server on Sherlock? Or wanted to run jobs that query data from a SQL database? Or even better, multiple jobs that would interact with the same database? Have you ever wanted to store...

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Spark on Sherlock

by Kilian Cavalotti

Apache Spark is now available on Sherlock, via the spark module: $ ml spark We also added some new documentation and example job scripts, so if you ever needed to run Spark jobs on Sherlock, please take a look at those and let us know...

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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...

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