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International Workshop on OpenMP

IWOMP 2010: Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More pp 15–28Cite as

A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 6132))

Abstract

OpenMP is a popular and evolving programming model for shared-memory platforms. It relies on compilers to target modern hardware architectures for optimal performance. A variety of extensible and robust research compilers are key to OpenMP’s sustainable success in the future. In this paper, we present our efforts to build an OpenMP 3.0 research compiler for C, C++, and Fortran using the ROSE source-to-source compiler framework. Our goal is to support OpenMP research for ourselves and others. We have extended ROSE’s internal representation to handle all OpenMP 3.0 constructs, thus facilitating experimenting with them. Since OpenMP research is often complicated by the tight coupling of the compiler translation and the runtime system, we present a set of rules to define a common OpenMP runtime library (XOMP) on top of multiple runtime libraries. These rules additionally define how to build a set of translations targeting XOMP. Our work demonstrates how to reuse OpenMP translations across different runtime libraries. This work simplifies OpenMP research by decoupling the problematic dependence between the compiler translations and the runtime libraries. We present an evaluation of our work by demonstrating an analysis tool for OpenMP correctness. We also show how XOMP can be defined using both GOMP and Omni. Our comparative performance results against other OpenMP compilers demonstrate that our flexible runtime support does not incur additional overhead.

This work performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under Contract DE-AC52-07NA27344.

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Author information

Authors and Affiliations

  1. Center for Applied Scientific Computing, Lawrence Livermore National Laboratory, Livermore, CA, 94551

    Chunhua Liao, Daniel J. Quinlan, Thomas Panas & Bronis R. de Supinski

Authors
  1. Chunhua Liao
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  2. Daniel J. Quinlan
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  3. Thomas Panas
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  4. Bronis R. de Supinski
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Editor information

Editors and Affiliations

  1. Graduate School of Systems and Information Engineering, University of Tsukuba, Tsukuba, Japan

    Mitsuhisa Sato

  2. Graduate School of Systems and Information Engineering, University of Tsukuba, Center for Computational Sciences, 1-1-1 Tennodai, 300-8577, Tuskuba, Ibaraki, Japan

    Toshihiro Hanawa

  3. Center for Information Services and High Performance Computing (ZIH), Dresden University of Technology, 01062, Dresden, Germany

    Matthias S. Müller

  4. Department of Computer Science, University of Houston, TX 77204-3010, Houston, USA

    Barbara M. Chapman

  5. Lawrence Livermore National Laboratory, Center for Applied Scientific Computing, 94551-0808, Livermore, CA, USA

    Bronis R. de Supinski

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© 2010 Springer-Verlag Berlin Heidelberg

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Liao, C., Quinlan, D.J., Panas, T., de Supinski, B.R. (2010). A ROSE-Based OpenMP 3.0 Research Compiler Supporting Multiple Runtime Libraries. In: Sato, M., Hanawa, T., Müller, M.S., Chapman, B.M., de Supinski, B.R. (eds) Beyond Loop Level Parallelism in OpenMP: Accelerators, Tasking and More. IWOMP 2010. Lecture Notes in Computer Science, vol 6132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13217-9_2

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  • DOI: https://doi.org/10.1007/978-3-642-13217-9_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13216-2

  • Online ISBN: 978-3-642-13217-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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