DocumentCode
1963031
Title
A new hierarchical genetic algorithm for low-power network on chip design
Author
Qi, Jinqing ; Zhao, Hanqing ; Wang, Jing ; Li, Zhengxue
Author_Institution
Sch. of Inf. & Commun. Eng., Dalian Univ. of Technol., Dalian, China
fYear
2010
fDate
13-15 Aug. 2010
Firstpage
159
Lastpage
162
Abstract
A new hierarchical genetic algorithm for low-power network on chip (NoC) design is proposed in this paper. As 2D-mesh is a widely used NoC topology, this paper studies the optimization of mapping IP (intellectual property) cores onto regular and irregular 2D-mesh network while minimizing communication power consumption. Experimental results show that significant energy savings can be achieved. For instance, for a given application, up to 39% energy savings have been observed.
Keywords
genetic algorithms; integrated circuit design; low-power electronics; network-on-chip; 2D-mesh; NoC topology; communication power consumption; genetic algorithm; intellectual property; low-power network on chip design; Convergence; IP networks; Next generation networking; Pediatrics; Power demand; System-on-a-chip; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-7047-1
Type
conf
DOI
10.1109/ICICIP.2010.5565289
Filename
5565289
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