Instant lightweight GPU instances are now availableWe 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!
A new tool to help optimize job resource requirementsIt’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!
ImprovementWe’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
ClusterShell on SherlockEver 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
A new interactive step in SlurmA 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
Your Sherlock prompt just got a little smarterHave 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
Sherlock factsEver 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...
New GPU options in the Sherlock catalogToday, 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 Sherlock on-boarding sessionsOne 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...