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Functional DIF
William Plishker

Citation
William Plishker. "Functional DIF". Talk or presentation, 5, June, 2008.

Abstract
Dataflow formalisms have provided designers of digital signal processing systems with analysis and optimizations for many years. As system complexity increases, designers are relying on more types of dataflow models to describe applications while retaining these implementation benefits. The semantic range of DSP-oriented dataflow models has expanded to cover heterogeneous models and dynamic applications, but efficient design, simulation, and scheduling of such applications has not. To facilitate implementing heterogeneous applications, we present a new dataflow model of computation that supports dynamic and static dataflow-based heterogeneous system design. With this semantic foundation, we show how actors designed in other dataflow models are directly supported by the functional dataflow interchange format (DIF) package, allowing system designers to immediately compose and simulate actors from different models. Schedules can then be expressed using a standard representation (the generalized schedule tree) which accommodates these dataflow models. Using an example, we show how this approach can be applied to quickly describe and functionally simulate a heterogeneous dataflow-based application.

Electronic downloads

Citation formats  
  • HTML
    William Plishker. <a
    href="http://chess.eecs.berkeley.edu/pubs/431.html"
    ><i>Functional DIF</i></a>, Talk or
    presentation,  5, June, 2008.
  • Plain text
    William Plishker. "Functional DIF". Talk or
    presentation,  5, June, 2008.
  • BibTeX
    @presentation{Plishker08_FunctionalDIF,
        author = {William Plishker},
        title = {Functional DIF},
        day = {5},
        month = {June},
        year = {2008},
        abstract = {Dataflow formalisms have provided designers of
                  digital signal processing systems with analysis
                  and optimizations for many years. As system
                  complexity increases, designers are relying on
                  more types of dataflow models to describe
                  applications while retaining these implementation
                  benefits. The semantic range of DSP-oriented
                  dataflow models has expanded to cover
                  heterogeneous models and dynamic applications, but
                  efficient design, simulation, and scheduling of
                  such applications has not. To facilitate
                  implementing heterogeneous applications, we
                  present a new dataflow model of computation that
                  supports dynamic and static dataflow-based
                  heterogeneous system design. With this semantic
                  foundation, we show how actors designed in other
                  dataflow models are directly supported by the
                  functional dataflow interchange format (DIF)
                  package, allowing system designers to immediately
                  compose and simulate actors from different models.
                  Schedules can then be expressed using a standard
                  representation (the generalized schedule tree)
                  which accommodates these dataflow models. Using an
                  example, we show how this approach can be applied
                  to quickly describe and functionally simulate a
                  heterogeneous dataflow-based application. },
        URL = {http://chess.eecs.berkeley.edu/pubs/431.html}
    }
    

Posted by Hiren Patel on 6 Jun 2008.
Groups: chess
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