Sherlock changelog

Sherlock changelog

www.sherlock.stanford.edu

A new tool to help optimize job resource requirements

by Kilian Cavalotti, Technical Lead & Architect, HPC
It’s not always easy to determine the right amount of resources to request for a computing job. Making sure that the application will have enough resources to run properly, but avoiding over-requests that would make the jobs spend too much
Documentation
Scheduler
Improvement

More free compute on Sherlock!

by Kilian Cavalotti, Technical Lead & Architect, HPC
Announce
Hardware
Improvement
We’re thrilled to announce that the free and generally available normal partition on Sherlock is getting an upgrade! With the addition of 24 brand new SH3_CBASE.1 compute nodes, each featuring one AMD EPYC 7543 Milan 32-core CPU and 256 GB
More free compute on Sherlock!

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

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

Your Sherlock prompt just got a little smarter

by Kilian Cavalotti, Technical Lead & Architect, HPC
Have you ever felt confused when running things on Sherlock and wondered if your current shell was part of a job? And if so, which one? Well, maybe you noticed it already, but we’ve deployed a small improvement to the Sherlock shell prompt
Improvement

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

Secure TensorBoard sessions with Sherlock OnDemand

by Kilian Cavalotti
Software
Improvement
If you're into machine learning (and who isn't these days?), you probably know all about TensorBoard already. If you don't, TensorBoard is TensorFlow's visualization toolkit. It provides the visualization and tooling needed for machine...
Secure TensorBoard sessions with Sherlock OnDemand