• DocumentCode
    1574468
  • Title

    Reo: A Dataflow Inspired Language for Multicore

  • Author

    Jongmans, Sung-Shik T. Q. ; Halle, Sylvain ; Arbab, Farhad

  • Author_Institution
    Formal Methods, Centrum Wiskunde & Inf., Amsterdam, Netherlands
  • fYear
    2013
  • Firstpage
    42
  • Lastpage
    50
  • Abstract
    The Reo language has been well documented to address difficulties in parallel programming. It separates interaction protocol from computation code, which allows separate development, reuse, and formal proofs about the protocol correctness. Modules of computation can be composed by externally defining a protocol, without concern for their internal details. Achieving acceptable performance for code generated from Reo specifications has been a major challenge. In this paper, we address this with a combination of implementing the circuit splitting optimization and using the proto-runtime approach as a base platform for the runtime system of the Reo language. Our results show that the overhead when running Reo is so low that the performance of a k-tuple benchmark protocol compiled from its Reo specification is now up to six times faster than a straightforward hand-written thread implementation and nearly equal to a carefully optimized thread implementation of the same protocol.
  • Keywords
    data flow analysis; formal specification; multiprocessing systems; optimisation; parallel programming; program compilers; protocols; Reo language; Reo specifications; circuit splitting optimization; code generation; computation code; dataflow inspired language; hand-written thread implementation; interaction protocol; k-tuple benchmark protocol; multicore; parallel programming; proto-runtime approach; protocol correctness; runtime system; Alternators; Automata; Generators; Ports (Computers); Protocols; Semantics; Synchronization; Reo coordination language; multicore programming; performance; proto-runtime approach;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data-Flow Execution Models for Extreme Scale Computing (DFM), 2013
  • Conference_Location
    Edinburgh
  • Type

    conf

  • DOI
    10.1109/DFM.2013.14
  • Filename
    6919195