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Comparative Analysis of Digitalization Efficiency Estimation Methods Using Desktop Grid

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Supercomputing (RuSCDays 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14389))

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Abstract

In this paper we apply distributed computing to comparative analysis of digitalization efficiency estimation methods tailored to aquaculture. A modified method of digitalization efficiency estimation is presented and discussed. Numerical experiments are performed to demonstrate the capabilities of the novel approach.

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Acknowledgements

This research is supported by RSF, project No 23-21-00048. The authors thank the reviewers for carefully reading the paper and Alexander Rumyantsev for helpful discussions.

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Authors and Affiliations

  1. Laboratory of Digital Technologies in Regional Development, Karelian Research Centre of RAS, Petrozavodsk, Russia

    Alexander Bekarev

  2. Institute of Applied Mathematical Research, Karelian Research Centre of RAS, Petrozavodsk, Russia

    Alexander Golovin

Authors
  1. Alexander Bekarev
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  2. Alexander Golovin
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Correspondence to Alexander Bekarev .

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Editors and Affiliations

  1. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Vladimir Voevodin

  2. Research Computing Center (RCC), Moscow State University, Moscow, Russia

    Sergey Sobolev

  3. Russian Academy of Sciences (RAS), Keldysh Institute of Applied Mathematics, Moscow, Russia

    Mikhail Yakobovskiy

  4. Russian Federal Nuclear Center, Sarov, Russia

    Rashit Shagaliev

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Bekarev, A., Golovin, A. (2023). Comparative Analysis of Digitalization Efficiency Estimation Methods Using Desktop Grid. In: Voevodin, V., Sobolev, S., Yakobovskiy, M., Shagaliev, R. (eds) Supercomputing. RuSCDays 2023. Lecture Notes in Computer Science, vol 14389. Springer, Cham. https://doi.org/10.1007/978-3-031-49435-2_3

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  • DOI: https://doi.org/10.1007/978-3-031-49435-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49434-5

  • Online ISBN: 978-3-031-49435-2

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