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High Performance Computing: Challenges and Risks for the Future

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Advances in Mathematical Methods and High Performance Computing

Part of the book series: Advances in Mechanics and Mathematics ((AMMA,volume 41))

Abstract

In this paper, we describe the challenges that high performance computing (HPC) is facing and will be facing over the coming years. We will look into the challenges that HPC faces with the coming end of Moore’s law. We will look into the opportunities we see in software and algorithms. Finally, we will discuss the convergence of HPC and data analytics. We will conclude by pointing at the new challenges and opportunities that arise from this convergence.

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Notes

  1. 1.

    2015 International Technology Roadmap for Semiconductors (ITRS): http://www.semiconductors.org/main/2015_international_technology_roadmap_for_semiconductors_itrs/.

  2. 2.

    The Top 500 list: www.top500.org.

  3. 3.

    www.hpcg-benchmark.org.

  4. 4.

    https://hpgmg.org.

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Correspondence to Michael M. Resch .

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Resch, M.M., Boenisch, T., Gienger, M., Koller, B. (2019). High Performance Computing: Challenges and Risks for the Future. In: Singh, V., Gao, D., Fischer, A. (eds) Advances in Mathematical Methods and High Performance Computing. Advances in Mechanics and Mathematics, vol 41. Springer, Cham. https://doi.org/10.1007/978-3-030-02487-1_14

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