Functional partitioning for hardware-software codesign using genetic algorithms

Hardware-software partitioning is one of the most important issues of codesign of embedded systems because it is made at the beginning of the cycle of design. In terms of costs and delays, final results will strongly depend on partitioning. In this work we address the functional partitioning problem of hardware-software codesign using a genetic algorithm. Experimental results includes a comparative study with three algorithms: simulated annealing, Fiduccia-Matheyses and a modified version of this with an improvement of results.