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An OpenSHMEM Implementation for the Adapteva Epiphany Coprocessor

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OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments (OpenSHMEM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10007))

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Abstract

This paper reports the implementation and performance evaluation of the OpenSHMEM 1.3 specification for the Adapteva Epiphany architecture within the Parallella single-board computer. The Epiphany architecture exhibits massive many-core scalability with a physically compact 2D array of RISC CPU cores and a fast network-on-chip (NoC). While fully capable of MPMD execution, the physical topology and memory-mapped capabilities of the core and network translate well to Partitioned Global Address Space (PGAS) programming models and SPMD execution with SHMEM.

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References

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Author information

Authors and Affiliations

  1. U.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland, 21005, USA

    James Ross

  2. Brown Deer Technology, Forest Hill, Maryland, 21050, USA

    David Richie

Authors
  1. James Ross
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  2. David Richie
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Corresponding author

Correspondence to James Ross .

Editor information

Editors and Affiliations

  1. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Manjunath Gorentla Venkata

  2. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Neena Imam

  3. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Swaroop Pophale

  4. Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA

    Tiffany M. Mintz

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Ross, J., Richie, D. (2016). An OpenSHMEM Implementation for the Adapteva Epiphany Coprocessor. In: Gorentla Venkata, M., Imam, N., Pophale, S., Mintz, T. (eds) OpenSHMEM and Related Technologies. Enhancing OpenSHMEM for Hybrid Environments. OpenSHMEM 2016. Lecture Notes in Computer Science(), vol 10007. Springer, Cham. https://doi.org/10.1007/978-3-319-50995-2_10

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  • DOI: https://doi.org/10.1007/978-3-319-50995-2_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50994-5

  • Online ISBN: 978-3-319-50995-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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