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Guru3D.com » News » AMD EPYC CPUs, AMD Radeon Instinct GPUs to power Cray Supercomputer

AMD EPYC CPUs, AMD Radeon Instinct GPUs to power Cray Supercomputer

by Hilbert Hagedoorn on: 05/07/2019 01:47 PM | source: | 18 comment(s)
AMD EPYC CPUs, AMD Radeon Instinct GPUs to power Cray Supercomputer

AMD and Cray unveil what is expected to be the world’s fastest supercomputer – defining a new standard for high-performance computing and pushing the technology boundaries of computational science to take the industry into the Exascale era. 

The new system, called Frontier, is planned to come online in the U.S. in 2021 with over 1.5 exaflops of processing power. The total system contract award is valued at more than $600M USD for the system and technology development. Together with the Cray Shasta architecture, AMD is excited to build on leadership hardware and software with the singular vision of solving the toughest computing challenges in the world today. AMD innovations in Frontier include: 

  • High Performance Computing (HPC) and Artificial Intelligence (AI) optimized, custom AMD EPYC CPU and purpose-built Radeon Instinct GPU processors
  • High Bandwidth Memory (HBM)
  • Tightly integrated 4:1 GPU to CPU ratio
  • Custom, high-speed coherent Infinity Fabric connection
  • Enhanced, open ROCm programming environment for AMD CPUs and GPUs support.

With this announcement, AMD and Cray are driving a new HPC paradigm to support the complex compute, interconnect, software and storage requirements that Exascale computing demands.

SANTA CLARA, Calif. — May 7, 2019 — AMD (NASDAQ: AMD) today joined the U.S. Department of Energy (DOE), Oak Ridge National Laboratory (ORNL) and Cray Inc. in announcing what is expected to be the world’s fastest exascale-class supercomputer, scheduled to be delivered to ORNL in 2021. To deliver what is expected to be more than 1.5 exaflops of expected processing performance, the Frontier system is designed to use future generation High Performance Computing (HPC) and Artificial Intelligence (AI) optimized, custom AMD EPYC™ CPU, and AMD Radeon™ Instinct GPU processors. Researchers at ORNL will use the Frontier system’s unprecedented computing power and next generation AI techniques to simulate, model and advance understanding of the interactions underlying the science of weather, sub-atomic structures, genomics, physics, and other important scientific fields.

“AMD is proud to partner with Cray and ORNL to deliver what is expected to be the world’s most powerful supercomputer,” said Forrest Norrod, senior vice president and general manager, AMD Datacenter and Embedded Systems Group. “Frontier will feature custom CPU and GPU technology from AMD and represents the latest achievement on a long list of technology innovations AMD has contributed to the Department of Energy exascale programs.”

AMD innovations to be used in the Frontier system include:

  • Future-generation High Performance Computing (HPC) and Artificial Intelligence (AI) optimized, custom AMD EPYC CPU, and Radeon Instinct GPU processors supported by High Bandwidth Memory (HBM) and extensive mixed precision ops for optimum deep learning performance;
  • A custom high-bandwidth, low-latency coherent Infinity Fabric, connecting four AMD Radeon Instinct GPUs to one AMD EPYC CPU per node;
  • An enhanced version of the open source ROCm programming environment, developed with Cray to tap into the combined performance of AMD CPUs and GPUs.

“We are excited to work with the team at AMD to deliver the Frontier system to Oak Ridge National Laboratory,” said Steve Scott, senior vice president and CTO at Cray. “Cray’s Shasta supercomputers are designed to support leading edge processor technologies and high-performance storage, all tightly interconnected by Cray’s new Slingshot network. The combination of Cray and AMD technology in the Frontier system will dramatically enhance performance at scale for AI, analytics, and simulation, enabling DOE to further push the boundaries of scientific discovery.”

AMD has a proud supercomputing history and a long-standing engagement with DOE, starting with the Jaguar supercomputer in 2005 and Titan supercomputer in 2011. The Frontier system leverages years of exascale technology investments by DOE. The contract award includes technology development funding, a center of excellence, several early-delivery systems, the main Frontier system and multi-year systems support. 

“Frontier represents the state-of-the art in high-performance computing. Designing and standing up a machine of its scope requires working closely with industry, partnerships which not only enable breakthrough science but also ensure American scientific and economic competitiveness on the global stage,” said Jeff Nichols, associate laboratory director for Computing and Computational Sciences, ORNL. “We are delighted to work with AMD to integrate the CPU and GPU technologies that enable this extremely capable accelerated node architecture.”

Additional Resources

  • AMD Exascale Computing Technologies
  • Cray Shasta Architecture

Follow AMD datacenter developments on Twitter @AMDServer







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Aura89
Senior Member



Posts: 8408
Joined: 2008-07-31

#5666806 Posted on: 05/08/2019 02:08 AM
My post was not made in the context of gaming or being a gamer.


So you're saying you're a low-key billionaire looking forward to buying one of these but will now pass due to no CUDA support?



Venix
Senior Member



Posts: 3111
Joined: 2016-08-01

#5666841 Posted on: 05/08/2019 07:30 AM
My post was not made in the context of gaming or being a gamer.


do you care to enlighten us about your reasoning then?!

HWgeek
Senior Member



Posts: 441
Joined: 2005-04-04

#5666859 Posted on: 05/08/2019 09:03 AM
Look how tables turned, 2 most powerfull supercomputers are based on AMD(CPU/GPU) and Intel(CPU/GPU), don't you wonder why no Nvidia's GPU's?, IMO he gonna sell his leather jacket soon.


*Image from Anandtech.


Kaarme
Senior Member



Posts: 3405
Joined: 2013-03-10

#5666867 Posted on: 05/08/2019 09:58 AM
don't you wonder why no Nvidia's GPU's?


Perhaps it would be interesting to see an all Nvidia one as well. But can Tegra handle running multiple powerful GPUs?

HWgeek
Senior Member



Posts: 441
Joined: 2005-04-04

#5666927 Posted on: 05/08/2019 03:23 PM
Nvidia's CEO after seeing that non of the Two most powerful Supercomputers in the world will use their GPU's :).


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