Frontier: Step By Step, Over Decades, To Exascale
Any time you build anything with more than 60 million parts, it is going to be a headache. …
Any time you build anything with more than 60 million parts, it is going to be a headache. …
Significant business and architectural changes can happen with 10X improvements, but the real milestones upon which we measure progress in computer science, whether it is for compute, storage, or networking, come at the 1,000X transitions. …
This time last year, Arm server CPU startup Ampere Computing provided a roadmap running out through 2023 describing its future products, aimed at demonstrating its commitment to the idea of Arm server chips. …
For a company that has been so enthusiastic about designing and building its own infrastructure and datacenters, Meta Platforms, the parent company to Facebook as well as WhatsApp and Instagram and one of the champions of the metaverse virtual reality a lot of us first read about in Burning Chrome, sure has not been building its own AI supercomputers lately. …
The nexus of traditional high performance computing and artificial intelligence is a fact, not a theory, and the exascale-class machinery installed in the United States, Europe, China, and Japan will be a showcase for how these two powerful simulation and analytical prediction techniques can be brought together in many different ways. …
Let the era of 3D V-Cache in HPC begin.
Inspired by the idea of AMD’s “Milan-X” Epyc 7003 processors with their 3D V-Cache stacked L3 cache memory and then propelled by actual benchmark tests pitting regular Milan CPUs against Milan-X processors using real-world and synthetic HPC applications, researchers at RIKEN Lab in Japan, where the “Fugaku” supercomputer based on Fujitsu’s impressive A64FX vectorized Arm server chip, have fired up a simulation of a hypothetical A64FX follow-on that could, in theory, be built in 2028 and provide nearly an order of magnitude more performance than the current A64FX. …
Within a year or so, with the launch of the “Grace” Arm server CPUs, it will not be heresy for anyone at Nvidia to believe, or to say out loud, that not every workload in the datacenter needs to have GPU acceleration. …
Normally, when we look at a system, we think from the compute engines at a very fine detail and then work our way out across the intricacies of the nodes and then the interconnect and software stack that scales it across the nodes into a distributed computing platform. …
Arm-based servers have had a somewhat checkered history that has seen many abortive attempts to challenge the X86 processor hegemony, but the firm appears bullish about its chances in the high performance computing (HPC) sector, where it believes its licensing model and the energy efficiency of its architecture give it an edge. …
The Graviton family of Arm server chips designed by the Annapurna Labs division of Amazon Web Services is arguably the highest volume Arm server chips the datacenter market today, and they have precisely one – and only one – customer. …
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