Moving from exascale to zettascale computing: challenges and techniques

Xiang-ke LIAO, Kai LU, Can-qun YANG, Jin-wen LI, Yuan YUAN, Ming-che LAI, Li-bo HUANG, Ping-jing LU, Jian-bin FANG, Jing REN, Jie SHEN

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PDF(395 KB)
Front. Inform. Technol. Electron. Eng ›› 2018, Vol. 19 ›› Issue (10) : 1236-1244. DOI: 10.1631/FITEE.1800494
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Moving from exascale to zettascale computing: challenges and techniques

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Abstract

High-performance computing (HPC) is essential for both traditional and emerging scientific fields, enabling scientific activities to make progress. With the development of high-performance computing, it is foreseeable that exascale computing will be put into practice around 2020. As Moore’s law approaches its limit, high-performance computing will face severe challenges when moving from exascale to zettascale, making the next 10 years after 2020 a vital period to develop key HPC techniques. In this study, we discuss the challenges of enabling zettascale computing with respect to both hardware and software. We then present a perspective of future HPC technology evolution and revolution, leading to our main recommendations in support of zettascale computing in the coming future.

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High-performance computing / Zettascale / Micro-architectures / Interconnection / Storage system / Manufacturing process / Programming models and environments

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Xiang-ke LIAO, Kai LU, Can-qun YANG, Jin-wen LI, Yuan YUAN, Ming-che LAI, Li-bo HUANG, Ping-jing LU, Jian-bin FANG, Jing REN, Jie SHEN. Moving from exascale to zettascale computing: challenges and techniques. Front. Inform. Technol. Electron. Eng, 2018, 19(10): 1236‒1244 https://doi.org/10.1631/FITEE.1800494

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2018 Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature
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