The Hardware/Software Partitioning in Embedded System by Improved Particle Swarm Optimization Algorithm

Author

Tong, Qiaoling ; Zou, Xuecheng ; Zhang, Qiao ; Gao, Fei ; Tong, Hengqing

Author_Institution

Dept. of Electron. Sci. & Technol., Huazhong Univ. of Sci. & Technol., Huazhong

fYear

2008

Firstpage

43

Lastpage

46

Abstract

Hardware/software partitioning is a key problem in hardware/software co-design. This paper presents a new hardware/software partitioning methodology based on improved particle swarm optimization algorithm. The model of the embedded system was constructed by directed acyclic graph to obtain the objective function. Then improvement strategies are introduced in order to overcome the problems of low precision and divergence in traditional particle swarm optimization algorithm. The improved algorithm can avoid local optimal solution efficiently and be conveniently implemented in the field of hardware/software partitioning.

Keywords

directed graphs; embedded systems; hardware-software codesign; particle swarm optimisation; directed acyclic graph; embedded system; hardware-software co-design; hardware-software partitioning; particle swarm optimization algorithm; Chaotic communication; Cost function; Embedded software; Embedded system; Hardware; Optimization methods; Particle swarm optimization; Partitioning algorithms; Software algorithms; Software systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Embedded Computing, 2008. SEC '08. Fifth IEEE International Symposium on

Conference_Location

Beijing

Print_ISBN

978-0-7695-3348-3

Type

conf

DOI

10.1109/SEC.2008.23

Filename

4690722