Processors

Cray to offer supercomputers with cpus fujitsu a64fx arm in 2020

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Cray, the recently acquired US supercomputing company by HPE, will partner with Japan's Fujitsu to offer ARM A64FX processors on its systems.

Cray partners with Fujitsu to create Exascale supercomputers by 2020

Fujitsu chips will be available on Cray CS500 supercomputers starting next year, with initial customers such as Los Alamos National Laboratory, Oak Ridge National Laboratory, RIKEN Center for Computer Science, Stony Brook University and University. from Bristol.

The partnership will also have the two companies “explore” the collaboration in engineering, co-development, and market launch strategies.

The A64FX chip is the first CPU to adopt the Scalable Vector Extension (SVE), a development of the ARMv8-A instruction set architecture made with HPC in mind. SVE allows vector lengths ranging from 128 to 2048 bits in 128 bit increments. Rather than specifying a specific vector length, CPU designers can choose the most appropriate vector length for their application and market, allowing A64FX to be designed with a focus on large-scale computing.

The chip also supports HMB2 (High-Memory Bandwidth), and the A64FX is expected to have a maximum theoretical memory bandwidth greater than 1 terabyte per second.

It is slated to be used on the Post-K 'Fugaku' supercomputer, Japan's first exascale system, which is on track to start operating in 2021 or early 2022.

The NNSA, along with LANL and Cray, is already experimenting with ARM supercomputers. Last year, the administration rolled out a small-arm supercomputer with Marvell ThunderX2 ARM processors. A week later, LANL announced that it would help finance the development of Marvell's advanced server technology.

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The NNSA also uses the world's largest arm supercomputer, Astra, installed at Sandia National Laboratories. An HPE system, it also has Marvell ThunderX2 ARM processors.

The era of Exascale computers is already here, offering many advantages in the field of science, robotics, AI and other tasks that require a lot of computing power.

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