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...
timestamp1556307720001
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...
timestamp1553041260001
Out with the old, in with the new!
by Kilian Cavalotti
It's been a little over five years since Sherlock first entered production and ran its first jobs. A lot of time has passed, and with it, Sherlock grew ten-fold, its user base exploded and technology trends evolved significantly. The...timestamp1550277300001
New GPU node available on Sherlock
by Kilian Cavalotti
There's a new GPU node in the gpu partition! It's notable for a list of reasons. This is the first node on Sherlock to feature both: the latest generation of Intel CPUs (Skylake), the latest generation of computing-optimized NVIDIA GPUs...
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...timestamp1522454340001
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...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...timestamp1513709940001
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...
Subscribe to updates