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System-Scenario-based Design Principles and Applications pp 113–126Cite as

Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing

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Abstract

As in the embedded systems domain, energy efficiency has recently become one of the main design criteria in high performance computing. The European Union Horizon 2020 project READEX (Run-time Exploitation of Application Dynamism for Energy-efficient eXascale computing) has developed a tools-aided auto-tuning methodology inspired by system scenario based design. Applying similar concepts as those presented in earlier chapters of this book, the dynamic behavior of HPC applications is exploited to achieve improved energy efficiency and performance. Driven by a consortium of European experts from academia, HPC resource providers, and industry, the READEX project has developed the first generic framework of its kind for split design-time and run-time tuning while targeting heterogeneous systems at the Exascale level. Using a real-life boundary element application, energy savings of more than 30% can be shown.

Keywords

  • Application dynamism
  • High performance computing
  • Exascale
  • Methodology
  • Auto-tuning
  • Design-time
  • Run-time
  • Instrumentation
  • Tuning model
  • Control plugin
  • Partial differential equations

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Acknowledgements

The research leading to these results has received funding from the European Union’s Horizon 2020 Programme under grant agreement number 671657.

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Authors and Affiliations

  1. Norwegian University of Science and Technology, NTNU, Trondheim, Norway

    Per Gunnar Kjeldsberg & Nico Reissmann

  2. Technische Universität Dresden, Dresden, Germany

    Robert Schöne, Andreas Gocht & Wolfgang E. Nagel

  3. Technische Universität München, München, Germany

    Michael Gerndt & Madhura Kumaraswamy

  4. VSB - Technical University of Ostrava, Ostrava, Czech Republic

    Lubomir Riha, Jan Zapletal & Ondrej Vysocky

  5. Irish Center for High-End Computing, Galway, Ireland

    Venkatesh Kannan

  6. Gesellschaft für numerische Simulation, Braunschweig, Germany

    Kai Diethelm

  7. University of Applied Sciences Würzburg-Schweinfurt, Schweinfurt, Germany

    Kai Diethelm

  8. Intel ExaScale Labs, Paris, France

    Marie-Christine Sawley

Authors
  1. Per Gunnar Kjeldsberg
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  2. Robert Schöne
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  3. Michael Gerndt
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  6. Kai Diethelm
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  7. Marie-Christine Sawley
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  8. Jan Zapletal
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  9. Andreas Gocht
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  10. Nico Reissmann
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  11. Ondrej Vysocky
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  12. Madhura Kumaraswamy
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  13. Wolfgang E. Nagel
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Corresponding author

Correspondence to Per Gunnar Kjeldsberg .

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Kjeldsberg, P.G. et al. (2020). Run-Time Exploitation of Application Dynamism for Energy-Efficient Exascale Computing. In: System-Scenario-based Design Principles and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-20343-6_6

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  • DOI: https://doi.org/10.1007/978-3-030-20343-6_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20342-9

  • Online ISBN: 978-3-030-20343-6

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