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Manycore Parallelism through OpenMP

High-Performance Scientific Computing with Xeon Phi

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Book cover OpenMP in the Era of Low Power Devices and Accelerators (IWOMP 2013)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8122))

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Abstract

Intel’s Xeon Phi coprocessor presents a manycore architecture that is superficially similar to a standard multicore SMP. Xeon Phi can be programmed using the OpenMP standard for shared-memory parallelism. We investigate the performance and optimisation of two real-world scientific codes, parallelised with OpenMP and accelerated on Xeon Phi, and compare with a conventional CPU architecture. We conclude that Xeon Phi offers the potential of significant speedup compared to conventional CPU architectures, much of which is attainable through the use of OpenMP.

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Author information

Authors and Affiliations

  1. Application Support, CSIRO Advanced Scientific Computing (IM&T), Australia

    James Barker

  2. Novel Technologies, CSIRO Advanced Scientific Computing (IM&T), Australia

    Josh Bowden

Authors
  1. James Barker
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  2. Josh Bowden
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Editor information

Editors and Affiliations

  1. Research School of Computer Science, The Australian National University, Australia

    Alistair P. Rendell

  2. Dept. of Computer Science, University of Houston Oak Ridge National Laboratory, USA

    Barbara M. Chapman

  3. Lehrstuhl für Hochleistungsrechnen und Rechen- und Kommunikationszentrum, RWTH Aachen University, Seffenter Weg 23, 52074, Aachen, Germany

    Matthias S. Müller

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© 2013 Springer-Verlag Berlin Heidelberg

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Barker, J., Bowden, J. (2013). Manycore Parallelism through OpenMP. In: Rendell, A.P., Chapman, B.M., Müller, M.S. (eds) OpenMP in the Era of Low Power Devices and Accelerators. IWOMP 2013. Lecture Notes in Computer Science, vol 8122. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40698-0_4

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  • DOI: https://doi.org/10.1007/978-3-642-40698-0_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40697-3

  • Online ISBN: 978-3-642-40698-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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