An Efficient Technique for HardwareSoftware Partitioning Process in Codesign
Joint Authors
Mhadhbi, Imene
Ben Othman, Slim
Ben Saoud, Slim
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-07-14
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Mhadhbi, Imene& Ben Othman, Slim& Ben Saoud, Slim. 2016. An Efficient Technique for HardwareSoftware Partitioning Process in Codesign. Scientific Programming،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118326
Modern Language Association (MLA)
Mhadhbi, Imene…[et al.]. An Efficient Technique for HardwareSoftware Partitioning Process in Codesign. Scientific Programming No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1118326
American Medical Association (AMA)
Mhadhbi, Imene& Ben Othman, Slim& Ben Saoud, Slim. An Efficient Technique for HardwareSoftware Partitioning Process in Codesign. Scientific Programming. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1118326
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1118326