计算机科学 ›› 2013, Vol. 40 ›› Issue (2): 44-48.

• 网络与通信 • 上一篇    下一篇

基于两级遗传算法的特定应用片上网络拓扑优化

赖国明,林小拉   

  1. (韩山师范学院计算机应用与技术系 潮州521041);(中山大学信息科学与技术学院 广州510006)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Application-specific Network-on-Chip Topology Optimization Based on Two-level Genetic Algorithm

  • Online:2018-11-16 Published:2018-11-16

摘要: 大规模片上系统面临着性能、同步、能耗等方面的通信问题,片上网络为复杂的片上系统通信问题提供了一种有效的解决方案。由于网络拓扑优化是一种NP难问题,针对片上系统主要面向特定应用的特点,提出一种基于两级遗传算法来求解特定应用片上网络的拓扑优化问题近似解。实验结果表明,相对于现有的三级遗传,两级遗传算法在最小能耗上平均有1.1%的改进,而且仿真运行时间大大减少,平均减少97%.

关键词: 特定应用片上网络,遗传算法,拓扑优化

Abstract: Large scale system-on-chip is facing several communication problems, such as performance, synchronization and power dissipation. Network-on-chip provides a most promise solution to the communication challenges of complicated system-on-chip. Because network topology optimization is known to be an NP-hard problem, aiming at the characteristic that most system-on-chips arc application-specific, this article proposed a two-level generic algorithm to solve the approximate solutions to the topology optimization problem. Experiments show that the proposed method can, on average, improve about 1.1% the minimal power consumption and 97% simulation time which is greatly reduced by comparing to the existing threclevcl generic algorithm.

Key words: Application-specific NoC, Uenetic algorithm (GA) , Topology optimization

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