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Solving the big computing problems in the twenty-first century

Nature Electronics volume 6, pages 464–466 (2023)Cite this article

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Substantial improvements in computing energy efficiency, by up to ten orders of magnitude, will be required to solve major computing problems — such as planetary-scale weather modelling, real-time, brain-scale modelling and human evolutionary simulation — by the end of this century.

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Fig. 1: Solving big computing problems in the twenty-first century.

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Author information

Authors and Affiliations

  1. Rain AI, San Francisco, CA, USA

    Alexander A. Conklin

  2. Stanford University, Stanford, CA, USA

    Alexander A. Conklin

  3. Sandia National Laboratories, Livermore, CA, USA

    Suhas Kumar

Authors
  1. Alexander A. Conklin
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  2. Suhas Kumar
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Correspondence to Suhas Kumar.

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The authors declare no competing interests.

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Nature Electronics thanks Yiyu Shi and the other, anonymous, reviewer(s) for their contribution to the peer review of this work.

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Supplementary Information

Supplementary Sections 1–8, Supplementary Table 1, and Supplementary Figs. 1 and 2.

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Conklin, A.A., Kumar, S. Solving the big computing problems in the twenty-first century. Nat Electron 6, 464–466 (2023). https://doi.org/10.1038/s41928-023-00985-1

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