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A Classification of Resource Heterogeneity in Multiprocessing Systems

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Euro-Par 2019: Parallel Processing Workshops (Euro-Par 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11997))

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Abstract

There is a disconnect between the structure and behavior of computer systems, and the way they are described and instructed in applications and system software. To each application, the structure of the system is presented as a homogeneous collection of memory and compute resources and peripherals to be utilized in full, while the operating system attempts to provide a layer of abstraction from the specifics of the devices, and the resource contention inherent to multiprocessing systems. This simplified and abstract view allows applications to function correctly with little regard to the specifics of the underlying hardware, and scale up with relative ease. However, disregarding the inherent heterogeneity of the hardware comes at the cost of degraded performance and reduced interoperability.

This work attempts to identify sources of heterogeneity common in multiprocessing systems, or emerging through new hardware or interaction paradigms, and discusses how these effects impact the performance and interoperability of applications on such systems.

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Author information

Authors and Affiliations

  1. Operating Systems and Middleware Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany

    Andreas Grapentin & Andreas Polze

Authors
  1. Andreas Grapentin
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  2. Andreas Polze
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Corresponding author

Correspondence to Andreas Grapentin .

Editor information

Editors and Affiliations

  1. Gesellschaft für Wissenschaftliche Datenverarbeitung mbH, Göttingen, Germany

    Ulrich Schwardmann

  2. Gesellschaft für Wissenschaftliche Datenverarbeitung mbH, Göttingen, Germany

    Christian Boehme

  3. CiTIUS, Santiago de Compostela, Spain

    Dora B. Heras

  4. University of Rome "Tor Vergata", Rome, Italy

    Valeria Cardellini

  5. Inria Bordeaux Sud-Ouest, Talence, France

    Emmanuel Jeannot

  6. Engineering Sardegna, Cagliari, Italy

    Antonio Salis

  7. University of Turin, Torino, Italy

    Claudio Schifanella

  8. University College Dublin, Dublin, Ireland

    Ravi Reddy Manumachu

  9. DLR-AS, Göttingen, Germany

    Dieter Schwamborn

  10. University of Pisa, Pisa, Italy

    Laura Ricci

  11. Ajou University, Suwon, Korea (Republic of)

    Oh Sangyoon

  12. RRZE Friedrich-Alexander-Universität, Erlangen, Germany

    Thomas Gruber

  13. ICAR-CNR, Napoli, Italy

    Laura Antonelli

  14. Tennessee Technological University, Cookeville, TN, USA

    Stephen L. Scott

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Grapentin, A., Polze, A. (2020). A Classification of Resource Heterogeneity in Multiprocessing Systems. In: Schwardmann, U., et al. Euro-Par 2019: Parallel Processing Workshops. Euro-Par 2019. Lecture Notes in Computer Science(), vol 11997. Springer, Cham. https://doi.org/10.1007/978-3-030-48340-1_60

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  • DOI: https://doi.org/10.1007/978-3-030-48340-1_60

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-48339-5

  • Online ISBN: 978-3-030-48340-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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