计算机工程与应用2016，Vol.52Issue(1)：76-80,177,6.DOI:10.3778/j.issn.1002-8331.1412-0082
基于改进遗传算法的3DNoC低功耗映射研究
Research on low-power mapping for three-dimensional network-on-chip based on inproved genetic algorithm
摘要
Abstract
The development of Two-Dimensional Network-on-Chip(2D NoC)has reached a bottleneck in terms of area, power consumption, layout, packaging density etc. Compared with 2D NoC, Three-Dimensional Network-on-Chip(3D NoC) has lots of advantages and has gradually become an important research field. With the improvement of 3D NoC integration, low-power mapping has become a research hot spot. In this paper, greedy algorithm is combined with genetic algorithm, forming an improved genetic algorithm to solve low-power mapping problem for 3D NoC. The improved genetic algorithm has better search ability than traditional genetic algorithm. Simulation results show that the total power consumption of improved genetic algorithm solving 3D NoC mapping is decreased. From the general trend, with the increase of the number of processing elements, the improvement has become more obvious. The total power consumption can be reduced by 14%at most in the case of 120 processing elements.关键词
三维片上网络/低功耗/映射算法/遗传算法/贪心算法Key words
3D Network-on-Chip(3D NoC)/low-power/mapping algorithm/genetic algorithm/greedy algorithm分类
信息技术与安全科学引用本文复制引用
林华洲,张大坤,黄翠..基于改进遗传算法的3DNoC低功耗映射研究[J].计算机工程与应用,2016,52(1):76-80,177,6.基金项目
国家自然科学基金(No.61272006). （No.61272006）
