Sherlock changelog

www.sherlock.stanford.edu

Sherlock goes full flash

by Stéphane Thiell & Kilian Cavalotti, Research Computing Team

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

A brand new Sherlock OnDemand experience

by Kilian Cavalotti, Technical Lead & Architect, HPC

Stanford Research Computing is proud to unveil Sherlock OnDemand 3.0, a cutting-edge enhancement to its computing and data storage resources, revolutionizing user interaction and efficiency.

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

More free compute on Sherlock!

by Kilian Cavalotti, Technical Lead & Architect, HPC

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

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

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