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Reducing the ecological impact of computing through education and Python compilers

Nature Astronomy volume 5, pages 334–335 (2021)Cite this article

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To the Editor — We read with interest the Comment by Portegies Zwart on the ecological impact of high-performance computing in astrophysics1. We fully agree with its take-home message: scientists should be mindful of their carbon footprint. One of the proposed solutions, however, is to avoid the Python programming language. We contend that this would be counterproductive and that scientific programs written in Python can be efficient and energy-friendly. We argue that human factors, such as education, and the advancement of compiler technology are much more important than choice of language.

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

References

  1. Portegies Zwart, S. Nat. Astron. 4, 819–822 (2020).

    Article  ADS  Google Scholar 

  2. Aycock, J. ACM Comput. Surv. 35, 97–113 (2003).

    Article  Google Scholar 

  3. Harris, C. R. et al. Nature 585, 357–362 (2020).

    Article  ADS  Google Scholar 

  4. Knuth, D. E. ACM Comput. Surv. 6, 261–301 (1974).

    Article  Google Scholar 

  5. Guelton, S. et al. Comput. Sci. Discov. 8, 014001 (2015).

    Article  Google Scholar 

  6. Lam, S. K., Pitrou, A. & Seibert, S. In Proc. Second Workshop on the LLVM Compiler Infrastructure in HPC 7 (ACM, 2015).

  7. Bolz, C. F., Cuni, A., Fijalkowski, M. & Rigo, A. In Proc. 4th Workshop on the Implementation, Compilation, Optimization of Object-Oriented Languages and Programming Systems 18–25 (ACM, 2009).

  8. Augier, P., Mohanan, A. V. & Bonamy, C. J. Open Res. Softw. 7, 9 (2019).

    Article  Google Scholar 

  9. Cheng, L., Ilbeyi, B., Bolz-Tereick, C. F. & Batten, C. In Proc. 18th ACM/IEEE International Symposium on Code Generation and Optimization 16–29 (ACM, 2020).

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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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