Topology Synthesis of Application-specific Network-on-Chip Using Two-level Genetic Algorithm

摘要：

As the number of intellectual property (IP) cores integrated on a single chip increases, the on-chip communication becomes the major performance bottleneck of high-end System-on-chip. NoCs have emerged as the most prominent solution to on-chip communication problems. The objective of topology synthesis is to minimize the power consumption and router resources while satisfying bandwidth constraints. In this paper, we present a two-level geneticalgorithm based technique to synthesize application-specific NoC topology. Comparing to an existing three-level GA, experiments show that our technique saves 1.14％ energy while saving great runtimes of 97.88％. Our technique generates approximate optimal topology less than one minute.

关键词： system-on-chip (SoC) network-on-chip (NoC) Application-Specific NoC genetic algorithms topology synthesis

作者: Guoming Lai Xiaola Lin Guoming Lai

作者单位: School of Information Science and Technology Sun Yat-sen University Guangzhou, 510006, China School of Information Science and TechnologySun Yat-sen UniversityGuangzhou, 510006, China Department of Math and Information TechnologyHanshan Normal UniversityChaozhou, 521041, China

会议类型: 国际会议

会议名称: 2011 International Conference on Information System and Computational Intelligence(2011 IEEE信息系统与计算智能国际会议 ICISCI 2011)

会议地点: 哈尔滨

会议语种:英文

页码: 485-489

在线出版日期: 2011-01-18（万方平台首次上网日期，不代表论文的发表时间）