MetaFork: A Framework for Concurrency Platforms Targeting Multicores

  • Xiaohui Chen
  • Marc Moreno Maza
  • Sushek Shekar
  • Priya Unnikrishnan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8766)


We present MetaFork, a metalanguage for multithreaded algorithms based on the fork-join concurrency model and targeting multicore architectures. MetaFork is implemented as a source-to-source compilation framework allowing automatic translation of programs from one concurrency platform to another. The current version of this framework supports CilkPlus and OpenMP. We evaluate the benefits of the MetaFork framework through a series of experiments, such as narrowing performance bottlenecks in multithreaded programs. Our experiments show also that, if a native program, written either in CilkPlus or OpenMP, has little parallelism overhead, then the same property holds for its OpenMP or CilkPlus counterpart translated by MetaFork.


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Xiaohui Chen
    • 1
  • Marc Moreno Maza
    • 1
  • Sushek Shekar
    • 1
  • Priya Unnikrishnan
    • 2
  1. 1.Department of Computer ScienceUniversity of Western OntarioCanada
  2. 2.Compiler Development TeamIBM Toronto LabCanada

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