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Enabling ISO Standard Languages for Complex HPC Workflows

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Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation (SMC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1512))

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Abstract

Parallel processing is increasingly important in scientific software, not only for supercomputer simulations, but also for edge computing applications and intelligently processing experimental data in real time. Due to this expansion in the diversity of hardware being used for next-generation and fused experimental/HPC facilities, productively writing code that performs well across these diverse environments is an increasing concern. To meet this challenge, NVIDIA is working in the Standard C++ Committee to develop a roadmap for C++ Standard Parallelism, a parallel programming model that is portable to all platforms, from massively parallel HPC to many-core embedded systems, while preserving the defining goals of C++: performance and efficiency for most use cases.

Our vision of C++ Standard Parallelism consists of three key components: (1) Common parallel algorithms that dispatch to vendor-optimized parallel libraries; (2) Tools to write your own parallel algorithms that run anywhere; (3) Mechanisms for composing parallel invocations of algorithms into task graphs.

In this paper, we'll dive into this roadmap and how it fits into NVIDIA’s broader strategy that also includes parallelism in ISO Standard Fortran and highly optimized library APIs to enable full-platform scientific productivity. We'll discuss what we already have that you can use today across a wide variety of deployed systems, what's coming down the line, and where the future may lead us.

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Authors and Affiliations

  1. NVIDIA, Santa Clara, CA, 95051, USA

    M. Graham Lopez, Jeff R. Hammond, Jack C. Wells, Tom Gibbs & Timothy B. Costa

Authors
  1. M. Graham Lopez
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  2. Jeff R. Hammond
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  3. Jack C. Wells
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  4. Tom Gibbs
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  5. Timothy B. Costa
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Corresponding author

Correspondence to M. Graham Lopez .

Editor information

Editors and Affiliations

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

    Jeffrey Nichols

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

    Arthur ‘Barney’ Maccabe

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

    James Nutaro

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

    Swaroop Pophale

  5. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Pravallika Devineni

  6. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Theresa Ahearn

  7. Oak Ridge National Laboratory, Oak Ridge, TN, USA

    Becky Verastegui

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Lopez, M.G., Hammond, J.R., Wells, J.C., Gibbs, T., Costa, T.B. (2022). Enabling ISO Standard Languages for Complex HPC Workflows. In: Nichols, J., et al. Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation. SMC 2021. Communications in Computer and Information Science, vol 1512. Springer, Cham. https://doi.org/10.1007/978-3-030-96498-6_17

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  • DOI: https://doi.org/10.1007/978-3-030-96498-6_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-96497-9

  • Online ISBN: 978-3-030-96498-6

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