{"title":"The Hardware/Software Partitioning in Embedded System by Improved Particle Swarm Optimization Algorithm","authors":"Qiaoling Tong, X. Zou, Qiao Zhang, Fei Gao, Hengqing Tong","doi":"10.1109/SEC.2008.23","DOIUrl":null,"url":null,"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.","PeriodicalId":231129,"journal":{"name":"2008 Fifth IEEE International Symposium on Embedded Computing","volume":"4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fifth IEEE International Symposium on Embedded Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SEC.2008.23","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 13
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.
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