Sherlock changelog

Sherlock changelog

www.sherlock.stanford.edu

Sherlock 4.0 is coming!

by Kilian Cavalotti, Technical Lead & Architect, HPC
New
Hardware
We are thrilled to announce that the next generation of Stanford's High-Performance Computing cluster is just around the corner. Mark your calendars for August 29, as we prepare to unveil Sherlock 4.0! Building on the success of previous
Sherlock 4.0 is coming!

Sherlock goes full flash

by Stéphane Thiell & Kilian Cavalotti, Research Computing Team
Data
Hardware
Improvement
What could be more frustrating than anxiously waiting for your computing job to finish? Slow I/O that makes it take even longer is certainly high on the list. But not anymore! Fir, Sherlock’s scratch file system, has just undergone a major
Sherlock goes full flash

Instant lightweight GPU instances are now available

by Kilian Cavalotti, Technical Lead & Architect, HPC
New
Hardware
We know that getting access to GPUs on Sherlock can be difficult and feel a little frustrating at times. Which is why we are excited to announce the immediate availability of our new instant lightweight GPU instances!
Instant lightweight GPU instances are now available

ClusterShell on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC
Software
New
Ever wondered how your jobs were doing while they were running? Keeping a eye on a log file is nice, but what if you could quickly gather process lists, usage metrics and other data points from all the nodes your multi-node jobs are running
ClusterShell on Sherlock

Tracking NFS problems down to the SFP level

by Kilian Cavalotti
Blog
Data
Hardware
When NFS problems turn out to be... not NFS problems at all.
Tracking NFS problems down to the SFP level

Sherlock facts

by Kilian Cavalotti
Data
Improvement
Ever wondered how many compute nodes is Sherlock made of? Or how many users are using it? Or how many Infiniband cables link it all together? Well, wonder no more: head to the Sherlock facts page and see for yourself! > hint: there are...
Sherlock facts

New GPU options in the Sherlock catalog

by Kilian Cavalotti
Today, we're introducing the latest generation of GPU accelerators in the Sherlock catalog: the NVIDIA A100 Tensor Core GPU. Each A100 GPU features 9.7 TFlops of double-precision (FP64) performance, up to 312 TFlops for deep-learning...
New
Hardware

New Sherlock on-boarding sessions

by Kilian Cavalotti
One of the most requested improvements around Sherlock services, that came out of our recent user survey, was for more documentation and more training. This is why, to help new users get familiar with Sherlock's computing environment...
New
Training

Adventures in storage

by Kilian Cavalotti
_This is part of our blog series about behind-the-scenes things we do on a regular basis on Sherlock, to keep it up and running in the best possible conditions for our users. Now that Sherlock's old storage system has been retired, we...
Blog
Hardware
Data