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CLC number: TP311

On-line Access: 2022-04-22

Received: 2018-08-16

Revision Accepted: 2018-09-14

Crosschecked: 2018-10-15

Cited: 0

Clicked: 3944

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Kai Lu

http://orcid.org/0000-0003-2284-7897

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Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.10 P.1236-1244

http://doi.org/10.1631/FITEE.1800494


Moving from exascale to zettascale computing: challenges and techniques


Author(s):  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

Affiliation(s):  College of Computer, National University of Defense Technology, Changsha 410073, China

Corresponding email(s):   kailu@nudt.edu.cn

Key Words:  High-performance computing, Zettascale, Micro-architectures, Interconnection, Storage system, Manufacturing process, Programming models and environments


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[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(10): 1236-1244.

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pages="1236-1244",
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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.

从E级计算到Z级计算的新挑战与新技术

摘要:高性能计算已成为促进传统与新兴领域科技创新取得进展的基础设施。随着高性能计算的发展,E级系统(每秒1018次浮点运算)预计2020年前后投入使用。实现E级计算后的10年(2020-2030)将成为E级计算向Z级计算(每秒1021次浮点运算)过渡的关键时期,计算能力提升将面临前所未有的挑战。从硬件和软件方面分析未来高性能计算的挑战,展望后E级计算时代的技术发展与革新,并提出未来实现E级计算向Z级计算过渡的可行性建议。

关键词:高性能计算;Z级计算;微处理器体系结构;高速互联;存储系统;制造工艺;编程模型与环境

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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