西安电子科技大学学报（自然科学版）Issue(4)：82-86,93,6.DOI:10.3969/j.issn.1001-2400.2014.04.015
类电磁优化的片上网络低功耗映射算法
Low energy consumption NoC mapping algorithm based on the modified electromagnetism-like mechanism
摘要
Abstract
A low-energy mapping algorithm based on the modified electromagnetism-like mechanism is proposed.Real number coder is used to realize the transformation of electromagnetism-like algorithm from continuous to discrete space.To improve the initializing particle quality and the algorithm efficiency, roulette wheel selection is used for population initialization.Adj ustment sequence is designed to improve the efficiency of searching local fine particles.The new charge formula is proposed to get the force,and some particles are filtered out to improve the efficiency.Experimental results shows that the proposed algorithm is more efficient in energy optimization.Compared with the existing genetic algorithm and ant colony algorithm,the electromagnetism-like mapping algorithm has a more evenly distributed energy consumption, and the algorithm can also save 20.35% and 12.58% energy on average.Thus the energy consumption of the NoC is effectively reduced.关键词
片上网络/改进的类电磁/映射算法/低功耗Key words
network-on-chip/modified electromagnetism-like algorithm/mapping algorithm/low-energy consumption分类
信息技术与安全科学引用本文复制引用
臧明相,王婷,周文宏..类电磁优化的片上网络低功耗映射算法[J].西安电子科技大学学报（自然科学版）,2014,(4):82-86,93,6.基金项目
国家部委基础科研计划资助项目(A1120110007) （A1120110007）
