Sherlock changelog

Sherlock goes container-native

by Kilian Cavalotti
Software
Improvement
Announce
In recognition of the fast-moving software landscape and the emerging needs of our users, we're pleased to announce, from the SC18 Supercomputing conference in Dallas, TX, that Sherlock is going container-native. Starting today, users...

Status info at login

by Kilian Cavalotti
If you recently logged in, you probably already noticed it: now, when you connect to Sherlock, you can see some new status information displayed right before your command prompt. New status information at login At login, you'll know...
New
Improvement

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...
Scheduler
Documentation

Running containers on Sherlock

by Kilian Cavalotti
Documentation
Software
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...

Sherlock now welcomes lab-contributed software

by Kilian Cavalotti
Have you ever spent hours compiling and tuning software, put together a complex workflow combining multiple software parts, or just installed the latest version of the brand new software tools you're developing on Sherlock? And wondered...
Software
Announce
New

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...
Improvement
Software
Documentation

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...
Improvement
Documentation
Software

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...
New
Hardware

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...
Software
Update