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

SRCF is expanding

by Kilian Cavalotti, Technical Lead & Architect, HPC
Maintenance
In order to bring up a new building that will increase data center capacity, a full SRCF power shutdown is planned for late June 2023. It’s expected to last about a week, and Sherlock will be unavailable during that time.
SRCF is expanding

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

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

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