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Introduction

The dataflow model of computation (with SDF, CSDF, and DDF as primary representatives) offers a powerful perspective on parallel computations that may be conditioned in terms of data dependencies. It dates back to the nineteen sixties and has applications in the design of real-time stream-processing systems, especially in the area of digital signal processing. The dataflow model of computation fits the characteristics of embedded and cyber-physical systems, with a strong emphasis on both the functional and temporal aspects of data processing systems. Dataflow is gaining renewed popularity, stimulated by the trend towards multi-core and multi-processor architectures, with an influx of work ranging from using dataflow as a programming paradigm, for performance analysis, or for design optimization.

Call for paper

Submission Topics

Topics of interest for IDEA 2016 include, but are not limited to:

  • Dataflow architectures and dataflow as a programming paradigm for multi-core and multi-processor systems, for embedded systems and for cyber-physical systems.
  • Tools for compilation, evaluation, optimization or synthesis of applications for heterogeneous and homogeneous multi-processor systems.
  • Real-time scheduling, analysis, response time modeling, schedule synthesis.
  • Variants of the dataflow model of computation, capturing e.g. dynamic execution behavior, stochastic dataflow.
  • Dataflow theory, relations between dataflow and other models of computation, relations between dataflow variants.
  • Dataflow in multi-disciplinary design, applications of dataflow in control, integrating dataflow and control theory.
  • Case studies of general interest describing the application of dataflow in embedded computing and cyber-physical systems, ranging from automotive systems, and avionics, to high-tech systems, smart buildings and smart grids.
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Important Date

  • Conference Date

    Apr 11

    2016

    to

    Apr 14

    2016

  • Apr 14 2016

    Registration deadline

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