Sherlock changelog

Sherlock changelog

www.sherlock.stanford.edu

Job #1, again!

by Kilian Cavalotti, Technical Lead & Architect, HPC
This is not the first time, we’ve been through this already (not so long ago, actually) but today, the Slurm job id counter was reset and went from job #67043327 back to job #1.
Event
Scheduler

Keep up to date with software updates

by Kilian Cavalotti, Technical Lead & Architect, HPC
To help users stay on top of software changes on Sherlock, we’ve recently introduced a new software updates RSS feed. It’s available from the Sherlock software list page, and you can directly add it to your RSS reader of choice. And if
Software
Update

A new interactive step in Slurm

by Kilian Cavalotti, Technical Lead & Architect, HPC
A new version of the sh_dev tool has been released, that leverages a recently-added Slurm feature. Slurm 20.11 introduced a new“interactive step”, designed to be used with salloc to automatically launch a terminal on an allocated compute
Improvement
Scheduler

3.3 PFlops: Sherlock hits expansion milestone

by Kilian Cavalotti, Technical Lead & Architect, High Performance Computing
Hardware
Event
Sherlock is a traditional High-Performance Computing cluster in many aspects. But unlike most of similarly-sized clusters where hardware is purchased all at once, and refreshed every few years, it is in constant evolution. Almost like a
3.3 PFlops: Sherlock hits expansion milestone

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

Job #1

by Kilian Cavalotti
If you've been submitting jobs on Sherlock over the last couple days, you probably noticed something different about your your job ids... They lost a couple digits! If you submitted a job last week, its job id was likely in the 67,000...
Event
Scheduler