%0 Journal Article
%T Application-specific Network-on-Chip Topology Optimization Based on Two-level Genetic Algorithm<br>基于两级遗传算法的特定应用片上网络拓扑优化
%A 赖国明
%A 林小拉
%J 计算机科学
%D 2013
%I 
%X 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.
%K Application-specific NoC
%K Uenetic algorithm (GA)
%K Topology optimization<br>特定应用片上网络，遗传算法，拓扑优化
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=C96909263C0B806907349F92570A1191&yid=FF7AA908D58E97FA&vid=1371F55DA51B6E64&iid=0B39A22176CE99FB&sid=1AE5323881A5ECDC&eid=B6DA1AC076E37400&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=0