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Ingredient Notes Living·4 min read

미국 차세대 슈퍼컴퓨터 2기 건설, 엑사스케일 목표

SoyulEditor · 2024.04.05
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무슨 발표인가

  • 2017년 설치 예정
  • 현재 최강 시스템의 3배 이상 성능 (150~300 PF)
  • Summit(오크리지)과 Sierra(로렌스 리버모어 국립연구소) 배치

2017년 설치 예정

원문 (영어)

The U.S. Department of Energy today unveiled plans to build two GPU-accelerated supercomputers -- expected to deliver at least three-times greater performance than today's most powerful system -- which will move the world closer to the long-held goal of exascale computing.

The supercomputers, to be installed in 2017, will be based on next-generation IBM POWER servers with NVIDIA Tesla GPU accelerators and NVIDIA NVLink high-speed GPU interconnect technology . The "Summit" system at Oak Ridge National Laboratory will be capable of delivering 150 to 300 peak petaflops, and be used for open science.

Delivering performance well in excess of 100 peak petaflops, the "Sierra" system will be a key element of Lawrence Livermore National Laboratory's national nuclear security mission. They will be considerably faster than the U.S.'s current speed champ, Oak Ridge's "Titan," which delivers 27 peak petaflops, as well as the world's fastest, Tianhe-2 at China's National Super Computer Center, in Guangzhou, which delivers 55 peak petaflops.

Visit the NVIDIA website for more information and a video about these new systems. "Today's science is tomorrow's technology," said Jen-Hsun Huang, CEO and co-founder of NVIDIA. "Scientists are tackling massive challenges from quantum to global to galactic scales.

Their work relies on increasingly more powerful supercomputers. Through the invention of GPU acceleration, we have paved the path to exascale supercomputing -- giving scientists a tool for unimaginable discoveries." The U.S. is investing in Summit and Sierra to achieve breakthroughs that lead to greater U.

S.

원문: NVIDIA News — "U.S. to Build Two Flagship Supercomputers for National Labs" (2024-04-05) 공식 원문: https://nvidianews.nvidia.com/news/u-s-to-build-two-flagship-supercomputers-for-national-labs

NVIDIA News
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