计算机工程与应用2012，Vol.48Issue(36)：70-74,104,6.DOI:10.3778/j.issn.1002-8331.1112-0647
基于云自适应遗传算法的NoC映射研究
Research of NoC mapping based on adaptive genetic algorithm of cloud
摘要
Abstract
NoC mapping is an important step of the NoC design. The quality of the NoC mapping determines the effect of QoS constraints and communication power consumption. This paper proposes a NoC mapping solutions based on cloud adaptive genetic algorithm. The algorithm is based on cloud model to improve the traditional genetic algorithm, taking a new method to improve crossover probability and mutation probability. Combined with the practical problems of NoC mapping, in constraints of power consumption and delay conditions, the power consumption of the mathematical model under the delay restriction of the NoC mapping is established. The experiment results show that the method has obtained favorable effect and reduced the power consumption of communication.关键词
片上网络(NoC)/映射/云模型/遗传算法Key words
Network-on-Chip(NoC)/ mapping/ cloud model/ genetic algorithm分类
信息技术与安全科学引用本文复制引用
许川佩,陈征南,任智新..基于云自适应遗传算法的NoC映射研究[J].计算机工程与应用,2012,48(36):70-74,104,6.基金项目
国家部委预研基金资助项目. （）
