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SHMEM-MT: A Benchmark Suite for Assessing Multi-threaded SHMEM Performance

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

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Abstract

OpenSHMEM is a popular one-sided communication library for high-performance computing systems developed around 2010 at the University of Houston [2]. It is becoming an increasingly popular programming model for next-generation HPC applications and systems because of its simple, intuitive interface and the proliferation of one-sided communication devices such as Infiniband [1]. Despite its increasing popularity, there are few benchmarks or mini-applications for evaluating and optimizing OpenSHMEM system software and hardware performance. This is particularly true for emerging multi-core and many-core systems on which OpenSHMEM is particularly important.

Sandia National Laboratories is a multiprogram laboratory managed and operated by Sandia Corporation, a wholly owned subsidiary of Lockheed Martin Corporation, for the United States Department of Energy’s National Nuclear Security Administration under contract DE-AC04-94AL85000.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of New Mexico, Albuquerque, USA

    Hans Weeks & Patrick G. Bridges

  2. Center for Computing Research, Sandia National Laboratories, Albuquerque, USA

    Matthew G. F. Dosanjh & Ryan E. Grant

Authors
  1. Hans Weeks
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  2. Matthew G. F. Dosanjh
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  3. Patrick G. Bridges
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  4. Ryan E. Grant
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Corresponding author

Correspondence to Hans Weeks .

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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Weeks, H., Dosanjh, M.G.F., Bridges, P.G., Grant, R.E. (2016). SHMEM-MT: A Benchmark Suite for Assessing Multi-threaded SHMEM Performance. 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_16

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  • DOI: https://doi.org/10.1007/978-3-319-50995-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50994-5

  • Online ISBN: 978-3-319-50995-2

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