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Design and Use of Loop-Transformation Pragmas

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OpenMP: Conquering the Full Hardware Spectrum (IWOMP 2019)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11718))

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Abstract

Adding a pragma directive into the source code is undoubtedly easier than rewriting it, for instance for loop unrolling. Moreover, if the application is maintained for multiple platforms, their difference in performance characteristics may require different code transformations. Code transformation directives allow replacing the directives depending on the platform, i.e. separation of code semantics and its performance optimization.

In this paper, we explore the design space (syntax and semantics) of adding such directive into a future OpenMP specification. Using a prototype implementation in Clang, we demonstrate the usefulness of such directives on a few benchmarks.

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Notes

  1. 1.

    Our previous paper [5] suggested to use safe semantics as the default, in conflict to the normal OpenMP behavior.

  2. 2.

    https://github.com/SOLLVE/clang/tree/pragma and

    https://github.com/SOLLVE/polly/tree/pragma.

References

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Acknowledgments

This research was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of two U.S. Department of Energy organizations (Office of Science and the National Nuclear Security Administration) responsible for the planning and preparation of a capable exascale ecosystem, including software, applications, hardware, advanced system engineering, and early testbed platforms, in support of the nation’s exascale computing imperative.

This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.

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Correspondence to Michael Kruse or Hal Finkel .

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Kruse, M., Finkel, H. (2019). Design and Use of Loop-Transformation Pragmas. In: Fan, X., de Supinski, B., Sinnen, O., Giacaman, N. (eds) OpenMP: Conquering the Full Hardware Spectrum. IWOMP 2019. Lecture Notes in Computer Science(), vol 11718. Springer, Cham. https://doi.org/10.1007/978-3-030-28596-8_9

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  • DOI: https://doi.org/10.1007/978-3-030-28596-8_9

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  • Print ISBN: 978-3-030-28595-1

  • Online ISBN: 978-3-030-28596-8

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