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Reducing the ecological impact of computing through education and Python compilers

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Fig. 1: Efficiency in terms of CO2 production and elapsed time for implementations in Python, Julia, C++ and Fortran.

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Acknowledgements

We thank D. Barreto, L. Martínez and A. Oskin for working on the optimized Julia implementations. We also thank Camille Noûs (Cogitamus Laboratory) and the open-source communities who contributed to the tools used for this study. Part of this work was performed using resources provided by Grid’5000 (supported by a scientific interest group hosted by Inria and including CNRS, RENATER and several universities) and CINES under GENCI allocation number A0080107567.

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Authors and Affiliations

  1. University of Grenoble Alpes, CNRS, Grenoble INP, LEGI, Grenoble, France

    Pierre Augier

  2. Heinrich-Heine-Universität, Düsseldorf, Germany

    Carl Friedrich Bolz-Tereick

  3. Namek, Paris, France

    Serge Guelton

  4. Department of Meteorology, Stockholm University, Stockholm, Sweden

    Ashwin Vishnu Mohanan

Authors
  1. Pierre Augier
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  2. Carl Friedrich Bolz-Tereick
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  3. Serge Guelton
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  4. Ashwin Vishnu Mohanan
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Correspondence to Pierre Augier.

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Augier, P., Bolz-Tereick, C.F., Guelton, S. et al. Reducing the ecological impact of computing through education and Python compilers. Nat Astron 5, 334–335 (2021). https://doi.org/10.1038/s41550-021-01342-y

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