Sherlock changelog

www.sherlock.stanford.edu

Instant lightweight GPU instances are now available

by Kilian Cavalotti, Technical Lead & Architect, HPC

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

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

ClusterShell on Sherlock

by Kilian Cavalotti, Technical Lead & Architect, HPC

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.

3.3 PFlops: Sherlock hits expansion milestone

by Kilian Cavalotti, Technical Lead & Architect, High Performance Computing

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

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