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The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes

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Parallel Processing and Applied Mathematics (PPAM 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8384))

Abstract

The availability of computing resources and the need for high quality services are rapidly evolving the vision about the acceleration of knowledge development, improvement and dissemination. The Internet of Things is growing up. The high performance cloud computing is behind the scene powering the next big thing. In this paper, using the GVirtuS, general purpose virtualization service, we demonstrate the feasibility of accelerate inexpensive ARM based computing nodes with high-end GPUs hosted on \(\mathrm{x}86\_64\) machines. We draw the vision of a possible next generation of low-cost, off the shelf, computing clusters we call Neowulf characterized by high heterogenic parallelism and expected as low electric power demanding and head producing.

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Author information

Authors and Affiliations

  1. Department of Mathematics and Applications, University of Naples Federico II, Complesso Universitario Monte S. Angelo, Via Cintia, Naples, Italy

    Giuliano Laccetti

  2. Department of Science and Technologies, Centro Direzionale di Napoli, Parthenope University of Napoli, Isola C4, 80143, Naples, Italy

    Raffaele Montella, Carlo Palmieri & Valentina Pelliccia

Authors
  1. Giuliano Laccetti
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  2. Raffaele Montella
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  3. Carlo Palmieri
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  4. Valentina Pelliccia
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Corresponding author

Correspondence to Raffaele Montella .

Editor information

Editors and Affiliations

  1. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Roman Wyrzykowski

  2. University of Tennessee, Department of Computer Science, Knoxville, Tennessee, USA

    Jack Dongarra

  3. Institute of Computer and Information Science, Czestochowa University of Technology, Czestochowa, Poland

    Konrad Karczewski

  4. Technical University of Denmark Informatics and Mathematical Modelling, Kongens Lyngby, Denmark

    Jerzy Waśniewski

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Laccetti, G., Montella, R., Palmieri, C., Pelliccia, V. (2014). The High Performance Internet of Things: Using GVirtuS to Share High-End GPUs with ARM Based Cluster Computing Nodes. In: Wyrzykowski, R., Dongarra, J., Karczewski, K., Waśniewski, J. (eds) Parallel Processing and Applied Mathematics. PPAM 2013. Lecture Notes in Computer Science(), vol 8384. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55224-3_69

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  • DOI: https://doi.org/10.1007/978-3-642-55224-3_69

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-55223-6

  • Online ISBN: 978-3-642-55224-3

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