By doing that you can you get better visibility. Talking about the delayed processor selections for El Capitan, Scott said, “The strategy that they’ve (DoE/LLNL) used – and increasingly others are using it as well – is to choose the system architecture, start getting that in place, and then make the processor choice as late as possible in the process. After re-entering the HPC server market with its Epyc line of CPUs in 2017, AMD at first treaded lightly in pairing Epyc with Radeon GPUs in high-end servers. Exascale sweepstakes, obtaining contracts for all three systems – Aurora, with an Intel CPU/GPU pair Frontier, with another AMD CPU/GPU pair, and El Capitan, which we now know will also feature AMD processors and AMD accelerators. HPE, through Cray, has been the big winner so far in the U.S. More detail on the CPU/GPU selections along with a few other system elements were presented in a media pre-briefing this week given by Bronis de Supinski, CTO, LLNL, Steve Scott, SVP, senior fellow, and CTO, HPE, and Forrest Norrod, SVP and GM, datacenter and embedded systems group, AMD. Cray, now part of HPE, was announced as the prime contractor as was selection of its Shasta architecture. The choice of AMD processor technology had not been made when the Department of Energy first announced the ~$600 million El Capitan procurement last August. The new system, expected to be put into service in 2023, will be 10x faster than Summit, the fastest publicly-ranked supercomputer in the world today (Top500, November 2019). HPE and its collaborators reported today that El Capitan, the forthcoming exascale supercomputer to be sited at Lawrence Livermore National Laboratory and serve the National Nuclear Security Administration (NNSA), will use AMD’s next-gen ‘Genoa’ Epyc CPUs and Radeon Instinct GPUs and deliver 2 exaflops (peak double-precision) performance, a 30 percent increase over the original spec.

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