CODES '94 Proceedings of the 3rd international workshop on Hardware/software co-design
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Synchronous dataflow (SDF) semantics are well-suited to representing and compiling multirate signal processing algorithms. A key to this match is the ability to cleanly express iteration without overspecifying the execution order of computations, thereby allowing efficient schedules to be constructed. Due to limited program memory, it is often desirable to translate the iteration in an SDF graph into groups of repetitive firing patterns so that loops can be constructed in the target code. This paper establishes fundamental topological relationships between iteration and looping structures for a large class of practical SDF graphs. By modularizing different components of the scheduling objectives, such as minimizing data buffering requirements or increasing the number of data transfers that occur in registers, can be incorporated in manner that does not conflict with the goal of code compactness.