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Scientific Programming
Volume 2016 (2016), Article ID 6382765, 11 pages
Research Article

An Efficient Technique for Hardware/Software Partitioning Process in Codesign

Department of Electrical Engineering, National Institute of Applied Sciences and Technology, Polytechnic School of Tunisia, Advanced Systems Laboratory, B.P. 676, 1080 Tunis Cedex, Tunisia

Received 27 January 2016; Accepted 10 May 2016

Academic Editor: Michele Risi

Copyright © 2016 Imene Mhadhbi et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Codesign methodology deals with the problem of designing complex embedded systems, where automatic hardware/software partitioning is one key issue. The research efforts in this issue are focused on exploring new automatic partitioning methods which consider only binary or extended partitioning problems. The main contribution of this paper is to propose a hybrid FCMPSO partitioning technique, based on Fuzzy C-Means (FCM) and Particle Swarm Optimization (PSO) algorithms suitable for mapping embedded applications for both binary and multicores target architecture. Our FCMPSO optimization technique has been compared using different graphical models with a large number of instances. Performance analysis reveals that FCMPSO outperforms PSO algorithm as well as the Genetic Algorithm (GA), Simulated Annealing (SA), Ant Colony Optimization (ACO), and FCM standard metaheuristic based techniques and also hybrid solutions including PSO then GA, GA then SA, GA then ACO, ACO then SA, FCM then GA, FCM then SA, and finally ACO followed by FCM.