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改进PSO算法在软/硬件划分中的应用
引用本文:谢平,李蜀瑜.改进PSO算法在软/硬件划分中的应用[J].计算机工程,2011,37(13):254-256,271.
作者姓名:谢平  李蜀瑜
作者单位:1. 青海师范大学计算机学院,西宁,810008;藏文信息处理省部共建教育部重点实验室,西宁,810008
2. 陕西师范大学计算机学院,西安,710062
基金项目:国家自然科学基金资助项目,教育部科学技术研究基金资助重点项目
摘    要:针对嵌入式系统中的单MPU和单ASIC体系结构问题,提出一种改进粒子群算法,将该算法应用到数字音视频解码器的软/硬件划分中,一次运行可以获得较多Pareto最优解。讨论目标函数、系统约束、粒子比较准则、拥挤距离函数、变异算子和粒子适应度等问题的处理。实验结果表明,该算法改善了传统算法产生未成熟收敛、较少Pareto最优解和Pareto最优解前端分布不均匀的问题,增强算法的自适应性及结果的全局最优性。

关 键 词:嵌入式系统  软/硬件划分  软硬件协同设计  粒子群优化算法  Pareto最优解
收稿时间:2010-12-28

Application of Improved PSO Algorithm in HW/SW Partition
ME Ping,LI Shu-yu.Application of Improved PSO Algorithm in HW/SW Partition[J].Computer Engineering,2011,37(13):254-256,271.
Authors:ME Ping  LI Shu-yu
Affiliation:1.School of Computer Science,Qinghai Normal University,Xining 810008,China;2.School of Computer Science,Shaanxi Normal University,Xi’an 710062,China;3.Key Laboratary of Ministry of Education for Tibetan Information Processing,Xining 810008,China)
Abstract:Aiming at the configuration problems of single MPU and ASIC in embedded system,this paper proposes an improved Particle Swarm Optimization(PSO) which is applied to HardWare/SoftWare(HW/SW) partitioning of digital audio/video decoder,each run of the algorithm can produce many Pareto-optional solutions,and the problems of target function,system constraint,Particle comparison criterion,congestion distance function,mutate operator and particle Fitness are discussed.Experimental result shows that the algorithm improves immature convergence,less Pareto-optimal solutions and Front-end distributed heterogeneous of Pareto-optimal solutions of traditional algorithm,strengthens adaptability and global optimality of results
Keywords:embedded system  HardWare/SoftWare(HW/SW) partition  HW/SW co-design  Particle Swarm Optimization(PSO) algorithm  Pareto-optimal solutions
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