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High-Performance Distributed Computing with Smartphones

  • Conference paper
  • First Online:
Euro-Par 2023: Parallel Processing Workshops (Euro-Par 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14352))

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Abstract

The demand for large-scale computing, such as the application of AI in big data analytics and engineering simulations, has been steadily increasing. Meanwhile, many companies and individuals now own smartphones and PCs, but a significant portion of these IT assets remains underutilised, especially overnight or utilised as computing resources. This paper solves these issues by proposing to use these resources in a distributed system. This system highlights the opportunities for cost-effective and resource-efficient high-performance computing(HPC) solutions by utilising underutilised resources. The original distributed computing system framework SMPDG will be described in this paper.

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Author information

Authors and Affiliations

  1. Tokyo University of Technology, 1404-1 Katakuramachi, Hachioji City, Tokyo, Japan

    Nadeem Ishikawa, Hayato Nomura, Yuya Yoda, Hiroaki Ishihata & Junsuke Senoguchi

  2. ITOCHU Techno-Solutions Corporation, Kamiyacho Trust Tower, 4-1-1, Toranomon, Minato-ku, Tokyo, Japan

    Osamu Uetsuki, Keisuke Fukunaga, Seiji Nagoya & Junya Sawara

Authors
  1. Nadeem Ishikawa
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  2. Hayato Nomura
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  3. Yuya Yoda
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  4. Osamu Uetsuki
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  5. Keisuke Fukunaga
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  6. Seiji Nagoya
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  7. Junya Sawara
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  8. Hiroaki Ishihata
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  9. Junsuke Senoguchi
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Corresponding author

Correspondence to Nadeem Ishikawa .

Editor information

Editors and Affiliations

  1. University of Cyprus, Nicosia, Cyprus

    Demetris Zeinalipour

  2. University of Santiago de Compostela, Santiago de Compostela, Spain

    Dora Blanco Heras

  3. University of Cyprus, Nicosia, Cyprus

    George Pallis

  4. Cyprus University of Technology, Limassol, Cyprus

    Herodotos Herodotou

  5. University of Nicosia, Nicosia, Cyprus

    Demetris Trihinas

  6. Inria, Nantes, France

    Daniel Balouek

  7. Louisiana State University, Baton Rouge, LA, USA

    Patrick Diehl

  8. Karlsruhe Institute of Technology, Karlsruhe, Germany

    Terry Cojean

  9. Ludwig-Maximilians-Universität, Munich, Germany

    Karl Fürlinger

  10. Roskilde University, Roskilde, Denmark

    Maja Hanne Kirkeby

  11. Bank of Italy, Rome, Italy

    Matteo Nardelli

  12. Roma Tre University, Rome, Italy

    Pierangelo Di Sanzo

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Ishikawa, N. et al. (2024). High-Performance Distributed Computing with Smartphones. In: Zeinalipour, D., et al. Euro-Par 2023: Parallel Processing Workshops. Euro-Par 2023. Lecture Notes in Computer Science, vol 14352. Springer, Cham. https://doi.org/10.1007/978-3-031-48803-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-48803-0_22

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48802-3

  • Online ISBN: 978-3-031-48803-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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