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

被引：5
|
作者：
Tong, Qiaoling [1 ]
Zou, Xuecheng [1 ]
Zhang, Qiao [1 ]
Gao, Fei [2 ]
Tong, Hengqing [2 ]
机构：
[1] Huazhong Univ Sci & Technol, Dept Elect Sci & Technol, Wuhan, Peoples R China
[2] Wuhan Univ Technol, Dept Math, Wuhan, Peoples R China
来源：
SEC 2008: PROCEEDINGS OF THE FIFTH IEEE INTERNATIONAL SYMPOSIUM ON EMBEDDED COMPUTING | 2008年
关键词：
D O I：
10.1109/SEC.2008.23
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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 417 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.
引用
收藏
页码：43 / +
页数：2
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