about 6 years ago
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...about 6 years ago
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...over 6 years ago
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...over 6 years ago
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...over 6 years ago
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...over 6 years ago
Sherlock welcomes Volta
by Sherlock Team
The Sherlock 2.0 cluster now features the latest generation of GPU accelerators: the NVIDIA Tesla V100. Each V100 GPU features 7.8 TFlops of double-precision (FP64) performance, up to 125 TFlops for deep-learning applications, 16GB of...over 6 years ago
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...almost 7 years ago
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...about 7 years ago
New login nodes
by Sherlock Team
Two new login nodes, sh-ln03 and sh-ln04 are now available to connect to Sherlock 2.0. They've been added to the load-balanced DNS pool and will automatically be selected according to their load and the number of currently logged-in...