Sherlock changelog

www.sherlock.stanford.edu

Farewell Sherlock 1.0 👋

by Kilian Cavalotti,

Retiring Sherlock 1.0 The day has come to say goodbye to Sherlock 1.0. After almost 4 years of service, the Sherlock 1.0 environment has definitely been retired. Starting today, when you connect to the Sherlock 1.0 login nodes (with ssh

SRCF Reboot

by Kilian Cavalotti,

A shutdown of the Stanford Research Computing Facility (SRCF) is planned for Labor Day weekend, Saturday through Monday, September 1-3, due to the need for power system maintenance. We will bring Sherlock down on Friday evening, August 31,

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

Sherlock 1.0 retirement schedule

by Kilian Cavalotti,

The Sherlock 1.0 environment is reaching end-of-life, and will be retired over the summer, according to the timeline provided below. Sherlock 2.0 will continue to work without any interruption while Sherlock 1.0 is retired. Sherlock 1.0

We're hiring!

by Kilian Cavalotti,

Ever wanted to work in a ultra-motivating scientific environment, alongside a team of exceptional individuals, providing support for amazing researchers and students to help make Sherlock an even better computing resource for the Stanford

Owner nodes migration is complete

by Kilian Cavalotti, Sherlock sysadmin

All the Sherlock 1.0 owner nodes have been successfully migrated to Sherlock 2.0. This is an important step in the Sherlock 2.0 migration process, and bring us closer to its completion. As a result, there's no owner node on Sherlock 1.0

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 HBM2

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

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 both