An efficient energy and thermal-aware mapping for regular network-on-chip

IEICE Electronics Express

Zhangming Zhu¹  Changqing Xu¹  Yi Liu¹  YinTang Yang¹ 

[1] School of Microelectronics, Xidian University

关键词: NoC mapping;    temperature;    energy consumption;    hyper-heuristic;   

DOI  :  10.1587/elex.14.20170769

学科分类：电子、光学、磁材料

来源: Denshi Jouhou Tsuushin Gakkai

【 摘 要 】

Chip temperature and energy consumption become one of the most critical design issues with technology scaling to nanometre-scale, especially for NoC systems with large number of cores and shrunken core size. To balance the temperature and energy consumption on NoC-based multi-cores system, this paper proposes an efficient NoC mapping approach in which the hyper-heuristic algorithm based on genetic operators (HAGO) is the core of this approach. Compared to simulated annealing algorithm and genetic algorithm, HAGO demonstrates a faster convergence speed and excellent stability. Experimental results show that our proposed mapping approach can make a better balance between energy consumption and temperature, which reduces the peak temperature from 365.2 K to 352 K and only increases the energy consumption by 1.12%.

【 授权许可】

CC BY