Memory-aware NoC application mapping based on adaptive genetic algorithm

Yizhuo Wang*, Zhibiao Zhang, Lifu Huang, Weixing Ji

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Application mapping is one of the key problems of Network-on-Chip (NoC) design. To address the application mapping on NoC with distributed memory node, this paper proposes a static mapping strategy based on adaptive genetic algorithm (AGA), which is memory-aware. This strategy solves the problem raised by the memory node through a novel encoding method, and improves the performance through dynamic adjustment on crossover probability and mutation probability. Experimental results show that our strategy saves the communication energy cost by 3% to 6%, compared with the mapping strategy based on standard genetic algorithm (SGA), for the task graphs studied in this paper.

源语言英语
主期刊名Algorithms and Architectures for Parallel Processing - 15th International Conference, ICA3PP 2015, Proceedings
编辑Gregorio Martinez Perez, Albert Zomaya, Guojun Wang, Kenli Li
出版商Springer Verlag
91-102
页数12
ISBN(印刷版)9783319271187
DOI
出版状态已出版 - 2015
活动15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015 - Zhangjiajie, 中国
期限: 18 11月 201520 11月 2015

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
9528
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015
国家/地区中国
Zhangjiajie
时期18/11/1520/11/15

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引用此

Wang, Y., Zhang, Z., Huang, L., & Ji, W. (2015). Memory-aware NoC application mapping based on adaptive genetic algorithm. 在 G. M. Perez, A. Zomaya, G. Wang, & K. Li (编辑), Algorithms and Architectures for Parallel Processing - 15th International Conference, ICA3PP 2015, Proceedings (页码 91-102). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 9528). Springer Verlag. https://doi.org/10.1007/978-3-319-27119-4_7