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Paving the way for China exascale computing

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Abstract

Supercomputing technology has been evolving rapidly in an accelerated way. It has made a significant impact on scientific research, technology innovation, economic and social development, and the life of ordinary people. Over the past three decades, China has devoted considerable efforts on the development of supercomputing technologies, and made tremendous and remarkable achievements in this field. China’s supercomputing systems now rank among the world’s most powerful supercomputers. As Moore’s Law approaches its limit, the development of exascale supercomputing systems is facing a series of grand challenges in both technologies and applications. Based on the experiences of China’s supercomputing development over the past years, this paper analyzes the major technical challenges on the path towards exascale computing. Additionally, ongoing major R&D activities on next-generation supercomputing in China are introduced, and the possible solutions to achieve exascale computing, including co-design and convergence computing, are discussed.

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References

  • Asch, M., Moore, T., Badia, R., et al.: 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 (2018)

    Article  Google Scholar 

  • Cavin, R.K., Lugli, P., Zhirnov, V.V.: Science and engineering beyond Moore’s law. Proc. IEEE 100(Special Centennial Issue), 1720–1749 (2012)

    Article  Google Scholar 

  • Glosli, J.N., Richards, D.F., Caspersen, K.J., et al.: Extending stability beyond CPU millennium: a micron-scale atomistic simulation of Kelvin–Helmholtz instability. In: ACM/IEEE Conference on Supercomputing, pp. 1–11 (2007)

  • Lu, Y., Qian, D., Fu, H., Chen, W.: Will supercomputers be super-data and super-AI machines? Commun. ACM 61(11), 82–87 (2018)

    Article  Google Scholar 

  • Lucas, R., Ang, J., Bergman, K., et al.: Top10 exascale research challenges. Department of Energy Office of Science (2014). https://science.energy.gov/~/media/ascr/ascac/pdf/meetings/20140210/Top10reportFEB14.pdf

  • Qian, D.: China’s HPC development: a brief review and perspectives, HPCI’17, Tokyo, Nov. 2 (2017). https://www.hpci-office.jp/conference/201711/invited_talks3.pdf

  • Qiu, X., Dai, Y., Xiang, Y., Xing, L.: A hierarchical correlation model for evaluating reliability, performance, and power consumption of a cloud service. IEEE Trans. Syst. Man Cybern. Syst. 46(3), 401–412 (2016)

    Article  Google Scholar 

  • Waldrop, M.M.: The chips are down for Moore’s law. Nature 530(7589), 144–147 (2016)

    Article  Google Scholar 

  • Wang, G., Ren, X.: Power-efficient work distribution method for CPU–GPU heterogeneous system. In: Proceedings of International Symposium on Parallel and Distributed Processing with Applications (2012)

  • Xu, W., Lu, Y., Li, Q., et al.: Hybrid hierarchy storage system in Milkyway-2 supercomputer. Front. Comput. Sci. 8(3), 367–377 (2014)

    Article  MathSciNet  Google Scholar 

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

    Article  Google Scholar 

Download references

Acknowledgements

I would like to express my appreciation to Professor Depei Qian for his strong support and professional advices for this paper. The partial content of this paper is to benefit from the discussion and ideas exchange among the HPC expert group of National Key R&D Project in China. I also want to give my appreciation to the Chinese supercomputing research teams (such as Tianhe team, Sunway team, and others) for their unremitting efforts on the domestic supercomputing systems and applications development over the years. Thanks to the reviewers for their suggestions. This paper is supported by National Key R&D project of China under Grant no. 2017YFB0202201 and the Program for Guangdong Introducing Innovative and Entrepreneurial Teams under Grant no. 2016ZT06D211.

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Correspondence to Yutong Lu.

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Lu, Y. Paving the way for China exascale computing. CCF Trans. HPC 1, 63–72 (2019). https://doi.org/10.1007/s42514-019-00010-y

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