Hardware/Software co-design using artificial neural network and evolutionaryy computing

Hardware/Software co-design is an important problem nowadays and is involved in many hardware research and development fields. Hardware/software partitioning problem is one of the most important questions on co-design that defines how parts of a hardware/software system should be implemented on which a fast and good solution is essential. This paper proposes a new way on hardware/software partitioning problem solving using an artificial neural network trained with resilient back propagation algorithm and feed-forward architecture.