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Energy Efficient Runtime Framework for Exascale Systems

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Book cover High Performance Computing (ISC High Performance 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9945))

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Abstract

Building an Exascale computer that solves scientific problems by three orders of magnitude faster as the current Petascale systems is harder than just making it huge. Towards the first Exascale computer, energy consumption has been emerged to a crucial factor. Every component will have to change to create an Exascale syestem, which capable of a million trillion of computing per second. To run efficiently on these huge systems and to take advantages of every computational power, software and underlying algorithms should be rewritten. While many computing intensive applications are designed to use Message Passing Interface (MPI) with two-sided communication semantics, a Partitioned Global Address Space (PGAS) is being designed, through providing an abstraction of the global address space, to treat a distributed system as if the memory were shared. The data locality and communication could be optimized through the one sided communication offered by PGAS. In this paper we present an energy aware runtime framework, which is PGAS based and offers MPI as a substrate communication layer.

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Acknowledgement

We gratefully acknowledge funding by the German Research Foundation (DFG) through the German Priority Programme 1648 Software for Exascale Computing (SPPEXA).

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Authors and Affiliations

  1. Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, Germany

    Yousri Mhedheb & Achim Streit

Authors
  1. Yousri Mhedheb
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  2. Achim Streit
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Corresponding author

Correspondence to Yousri Mhedheb .

Editor information

Editors and Affiliations

  1. University of Delaware, Newark, Delaware, USA

    Michela Taufer

  2. Forschungszentrum Jülich, Jülich, Germany

    Bernd Mohr

  3. DKRZ, Hamburg, Germany

    Julian M. Kunkel

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Mhedheb, Y., Streit, A. (2016). Energy Efficient Runtime Framework for Exascale Systems. In: Taufer, M., Mohr, B., Kunkel, J. (eds) High Performance Computing. ISC High Performance 2016. Lecture Notes in Computer Science(), vol 9945. Springer, Cham. https://doi.org/10.1007/978-3-319-46079-6_3

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  • DOI: https://doi.org/10.1007/978-3-319-46079-6_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46078-9

  • Online ISBN: 978-3-319-46079-6

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