Hardware Software Partitioning of Multifunction Systems

The problem of hardware-software partitioning for systems that are being designed as multifunction systems is addressed. Simulated annealing is known to generate very good solutions for most optimization problems, however the running time of this algorithm can be very high. We apply a modified simulated annealing approach to the partitioning problem resulting in a smaller search space, yet yielding good partitions. We show experimental results that yield better solutions in comparison to the existing multifunction partitioning approaches within acceptable running time