H&S IT is pleased to announce that we’ve made a significant investment in our research computing capabilities by acquiring 39 new compute nodes for the Sherlock high-performance computing cluster. This enhancement is designed to support researchers across the School of Humanities and Sciences.
What This Means for Your Department
Sherlock is an invaluable tool for researchers who encounter computational challenges that exceed the capabilities of a laptop or desktop. With the increasing reliance on computation and the need to process large datasets across various fields - including chemistry, physics, biology, sociology, and psychology - the demand for extensive computing power is growing.
With this new purchase, the H&S partition in Sherlock now has 143 nodes with 5,164 CPUs and 12 GPUs of computing power! GPUs are designed to handle complex computations rapidly and they excel at parallel processing, making them ideal for tasks that require processing large amounts of data simultaneously. Researchers typically use GPUs for AI/machine learning, data analysis, simulations, and image/signal processing. We’re very excited to offer this resource to H&S researchers to enable them to tackle larger problems more quickly and efficiently, driving innovation across various disciplines.
How to Share This Information
H&S Sherlock users (1,600+ of them!) will receive an email directly from Stanford Research Computing (UIT) with instructions for accessing the new nodes. But we also encourage our DFOs/ADs to share information about these new resources with others in their department/program who may not be familiar with Sherlock. High-performance computing not only supports ongoing research but also enhances the quality of work published, with over 800 research publications attributed to Stanford users. More information about Sherlock can also be found here.
Presentation Offer
If your group would like a presentation on the resources offered by Stanford Research Computing, please contact Mark Piercy at mpiercy [at] stanford.edu (mpiercy[at]stanford[dot]edu) or through srcc-support [at] stanford.edu (srcc-support[at]stanford[dot]edu).