Readings in hardware/software co-design
Generating compact code from dataflow specifications of multirate signal processing algorithms
Readings in hardware/software co-design
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The synchronous dataflow (SDF) programming paradigm has been used extensively in design environments for multirate signal processing applications. In this paradigm, the repetition of computations is specified by the relative\ rates at which the computations consume and produce data. This implicit specification of iteration allows a compiler to easily explore alternative nested loops structures for the target code with respect to their effects on code size, buffering requirements and throughput. In this paper, we develop important relationships between the SDF description of an algorithm and the range of looping structures offered by this description, and we discuss how to improve code efficiency by applying these relationships.