Using Genetic Algorithms to Map Hard Real-Time on NoC-based Systems

被引:0
|
作者
Racu, Adrian [1 ]
Indrusiak, Leandro Soares [1 ]
机构
[1] Univ York, York YO10 5DD, N Yorkshire, England
关键词
networks-on-chip; genetic algorithm; task mapping; communication mapping;
D O I
暂无
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper investigates the effectiveness of genetic algorithms (GAs) for static task scheduling in wormhole Network-on-Chip-based systems. The overall objective was to get the application model mapped onto the architecture so that all tasks and communication meet their deadlines. Inter-task communication is accounted for by using analytical methods. The GA explores both the mapping of tasks as well as the priority ordering of the task set. A novel fitness function was developed and found to perform better than existing functions.
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收藏
页数:8
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