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Conditional scheduling for embedded systems using genetic list scheduling

One important part of a hardware/software (HW/SW) codesign system is the scheduler, which is needed in order to determine if a given HW/SW partitioning is suitable for a given application. In this paper, we employ a dataflow model for scheduling a computation including conditional branches on a loosely coupled heterogeneous multiprocessor system. The goal is to minimize the worst-case makespan while satisfying constraints implied by data dependencies and exclusive resource usage. We present a formal model which allows multiple schedule optimizations and a new efficient heuristic approach based on genetic algorithms and list scheduling.