Meet Slingshot: An Innovative Interconnect for the Next Generation of Supercomputers

Today Cray is announcing our next-generation “Shasta™” supercomputer, featuring our latest generation of scalable interconnect, code-named “Slingshot.” As a long-time network architect, I’m pretty excited. Slingshot is our 8th major generation of scalable HPC network, and there have been some great milestones along the way. We started back in 1992 with the Cray T3D, Cray's first massively parallel system. Implemented in BiCMOS, its network latency was just 12 ns per hop. That was followed in 1996 by the pioneering Cray T3E system, which had the first-ever implementation of adaptive routing in an HPC network (by a long shot!). In 2005, Cray pioneered the design of high-radix switches. Our YARC switch for the Cray X2 implemented ... [ Read More ]

Bloomsbury AI Uses Cray Tech to Top Artificial Intelligence Record

One of our initiatives here at Cray is to provide supercomputer resources so innovators can advance artificial intelligence in its many forms — and, ultimately, human understanding. One way that we do this is through a partnership with the UK innovation center Digital Catapult and its Machine Intelligence Garage program. Machine Intelligence Garage helps businesses access the computation power and expertise they need to develop and build machine learning and artificial intelligence solutions. As part of this partnership, one of the program participants, Bloomsbury AI, used a Cray® CS-Storm™ system in the Cray Accel AI™ lab to train and optimize the deep learning models within Cape, an open-source technology that can answer ... [ Read More ]

Too Cool: A Look at the Latest Supercomputing Cooling Technologies

The approaching exascale era has produced many new question marks for the high-performance computing industry, and one of the largest has been around the development of more efficient and economical power and cooling technologies in the data center. To solve exascale-sized problems, HPC systems will need to run at power levels well beyond what we see even with today’s largest supercomputers, which will make operating, maintaining and cooling these systems exorbitantly expensive. Cooling systems have always been one of the largest consumers of power in the data center, and a collective shift to new, more efficient methods will be required to support the next generation of HPC systems. Today’s HPC data centers are constrained in terms of ... [ Read More ]

3 Reasons Why CosmoFlow on a Cray System is a Big Deal

Today, Cray, NERSC (the National Energy Research Scientific Computing Center at Lawrence Berkeley National Laboratory) and Intel announced the results of a three-way collaboration around CosmoFlow, a deep learning 3D convolutional neural network (CNN) that can predict cosmological parameters with unprecedented accuracy using the Intel-powered Cray® XC™ series “Cori” supercomputer at NERSC. Supercomputers are unique in their ability to be instruments of discovery for problems on the smallest and largest of scales — from subatomic scale to the cosmos. Cosmologists who study the origin, evolution and eventual fate of the universe use a combination of empirical observations and theoretical computer simulations to define and refine a ... [ Read More ]

Boost Your HPC & AI Knowledge with Fall Learning Series Webinars

Summer is almost over and fall is the perfect time to refocus, reengage, and reinvest in learning how to overcome some of your biggest HPC challenges. To help get you on track, Cray is offering a September Learning Series of webinars designed to address four of the most frequently asked questions we get in areas ranging from artificial intelligence to storage and compute to software. Join us for any — or all — of the sessions to learn, ask questions and engage with industry thought leaders. Tuesday, 9/11, 9 a.m. PT: The Three Steps: Focusing on Workflow for Successful AI Projects As artificial intelligence (AI) has gained mainstream acceptance, there's been a lot of focus on the systems used to develop and train models. But ... [ Read More ]