Full Text:   <2337>

CLC number: 

On-line Access: 2022-04-22

Received: 2022-04-22

Revision Accepted: 2022-04-22

Crosschecked: 2022-04-22

Cited: 0

Clicked: 4271

Citations:  Bibtex RefMan EndNote GB/T7714

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.10 P.1203-1208


Post-exascale supercomputing: research opportunities abound

Author(s):  Zuo-ning Chen, Jack Dongarra, Zhi-wei Xu

Affiliation(s):  Chinese Academy of Engineering, Beijing 100088, China; more

Corresponding email(s):   chenzuoning@vip.163.com, dongarra@icl.utk.edu, zxu@ict.ac.cn

Key Words: 

Share this article to: More |Next Article >>>

Zuo-ning Chen, Jack Dongarra, Zhi-wei Xu. Post-exascale supercomputing: research opportunities abound[J]. Frontiers of Information Technology & Electronic Engineering, 2018, 19(10): 1203-1208.

@article{title="Post-exascale supercomputing: research opportunities abound",
author="Zuo-ning Chen, Jack Dongarra, Zhi-wei Xu",
journal="Frontiers of Information Technology & Electronic Engineering",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Post-exascale supercomputing: research opportunities abound
%A Zuo-ning Chen
%A Jack Dongarra
%A Zhi-wei Xu
%J Frontiers of Information Technology & Electronic Engineering
%V 19
%N 10
%P 1203-1208
%@ 2095-9184
%D 2018
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1830000

T1 - Post-exascale supercomputing: research opportunities abound
A1 - Zuo-ning Chen
A1 - Jack Dongarra
A1 - Zhi-wei Xu
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 19
IS - 10
SP - 1203
EP - 1208
%@ 2095-9184
Y1 - 2018
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1830000

Exascale supercomputing refers to the scientific research efforts and activities to build and use su-percomputers that can perform scientific computing at the speed of exaflops, or 1018 floating-point (64-bit) operations per second. Exascale supercomputing is a major milestone in surpassing the state-of-the-art standard of petascale supercomputing, i.e., 1015 floating-point operations per second, established a decade ago in 2008.
Exascale scientific computing research is already in full bloom worldwide. The USA leads this research and development direction, with federal government funding starting in as early as 2008. Japan, Europe, India, and China soon followed suit. The most recent focus on the field is in Europe, with 1.4 billion euros budgeted for building pre-exascale supercomputers by 2020, and an additional 2.7 billion euros proposed for building an exascale supercomputer by 2023 (Feldman, 2018). It is expected that multiple exascale supercomputers will become operational in the USA, Europe, and Asia by 2020–2024, supporting cutting edge research in many scientific fields.
In this context, the Chinese Academy of Engi-neering (CAE) organized a special issue of “Post- exascale Supercomputing” in Frontiers of Infor-mation Technology and Electronic Engineering, by inviting position papers from leading experts inside and outside China. This special issue targets 2020–2030 supercomputing systems that go beyond the existing exascale systems under construction. It focuses on innovative research ideas in systems ar-chitecture, processors, memory, storage, intercon-nects, operating systems, programming languages and compilers, and application frameworks. It foresees the convergence of high-performance computing (HPC) with big data computing, intelligence compu-ting (e.g., deep learning), cloud computing, and edge computing, and encourages consideration of future HPC workloads.

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


[1]Asch M, Moore T, Badia R, et al., 2018. Big data and extreme-scale computing: pathways to convergence— toward a shaping strategy for a future software and data ecosystem for scientific inquiry. Int J High Perform Comput Appl, 32(4):435-479.

[2]Cambricon, 2018. MLU100-Cambricon. https://en.wikichip.org/wiki/cambricon/mlu/mlu100 [Accessed on Oct. 15, 2018].

[3]Feldman M, 2018. Europeans Budget 1.4 Billion Euros to Build Next-Generation Supercomputers. https://www.top500.org/news/europeans-budget-14-billion-euros-to-build-next-generation-supercomputers/ [Accessed on Oct. 15, 2018].

[4]Hu XS, Niemier M, 2018. Cross-layer efforts for energy-efficient computing: towards peta operations per second per watt. Front Inform Technol Electron Eng, 19(10): 1209-1223.

[5]Jun Y, Gavrilov M, Bechhoefer J, 2014. High-precision test of Landauer’s principle in a feedback trap. Phys Rev Lett, 113(19):190601.

[6]Landauer R, 1961. Irreversibility and heat generation in the computing process. IBM J Res Devel, 5(3):183-191.

[7]Liao XK, Lu K, Yang CQ, et al., 2018. Moving from exascale to zettascale computing: challenges and techniques. Front Inform Technol Electron Eng, 19(10):1236-1244.

[8]Mo ZY, 2018. Extreme-scale parallel computing: bottlenecks and strategies. Front Inform Technol Electron Eng, 19(10): 1251-1260.

[9]Panda DK, Lu XY, Subramoni H, 2018. Networking and communication challenges for post-exascale systems. Front Inform Technol Electron Eng, 19(10):1230-1235.

[10]Strohmaier E, 2018. Highlights of the 51st TOP500 list. https://www.top500.org/static/media/uploads/top500_ppt_201806.pdf [Accessed on Oct. 15, 2018].

[11]Sun NH, Bao YG, Fan DR, 2018. The rise of high-throughput computing. Front Inform Technol Electron Eng, 19(10): 1245-1250.

[12]Xie XH, Jia X, 2018. Exploring high-performance processor architecture beyond the exascale. Front Inform Technol Electron Eng, 19(10):1224-1229.

[13]Xu Z, Chi X, Xiao N, 2016. High-performance computing environment: a review of twenty years of experiments in China. Natl Sci Rev, 3(1):36-48.

[14]Yang GW, Fu HH, 2018. Application software beyond exa- scale: challenges and possible trends. Front Inform Technol Electron Eng, 19(10):1267-1272.

[15]Zhai JD, Chen WG, 2018. A vision of post-exascale pro-gramming. Front Inform Technol Electron Eng, 19(10): 1261-1266.

Open peer comments: Debate/Discuss/Question/Opinion


Please provide your name, email address and a comment

Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE