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
Front. Inform. Technol. Electron. Eng ›› 2018, Vol. 19 ›› Issue (10) : 1236 -1244.
Moving from exascale to zettascale computing: challenges and techniques
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.
High-performance computing / Zettascale / Micro-architectures / Interconnection / Storage system / Manufacturing process / Programming models and environments
Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature
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