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.
Topics of interest for IDEA 2016 include, but are not limited to:
04月11日
2016
04月14日
2016
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