计算机应用研究2016，Vol.33Issue(6)：1862-1866,5.DOI:10.3969/j.issn.1001-3695.2016.06.058
基于改进遗传算法的片上网络低功耗映射方法
Modified genetic algorithm based method on low-power mapping in network-on-chip
摘要
Abstract
Focusing on the power decreasing of large-scale applications in network-on-chip,this paper proposed a modified genetic algorithm based method on low-power mapping.With communication weights of task nodes and structural features of mapping platform,this method acquired better initial mapping solution set with the consideration of task node priority and its connection.Moreover,it introduced the roulette wheel selection,best-neighbor selection and reverse evolution,and selected the initial solution with a certain probability at each iteration to prevent the algorithm stagnation.Experimental results show that,when maintaining the same task model and mapping platform,compared with the genetic algorithm and random mapping algorithm,our proposed algorithm greatly decreases the energy consumption.关键词
片上网络/低功耗/映射/改进遗传算法/结构特征/较优初始解Key words
network-on-chip/low-power/mapping/modified genetic algorithm/structural feature/better initial solution分类
信息技术与安全科学引用本文复制引用
戴启华,刘勤让,沈剑良,孙淼..基于改进遗传算法的片上网络低功耗映射方法[J].计算机应用研究,2016,33(6):1862-1866,5.基金项目
国家“973”计划资助项目 （）
