DocumentCode
3344731
Title
A Technique for NoC Routing Based on Hybrid Particle Swarm Optimization Algorithm
Author
Xu Chuan-pei ; Yan Xiao-feng ; Chen Yu-qian
Author_Institution
Sch. of Electron. Eng., Guilin Univ. of Electron. Technol., Guilin, China
fYear
2009
fDate
14-17 Oct. 2009
Firstpage
607
Lastpage
610
Abstract
Network-on-chip (NoC) has been proposed as a solution for the global communication challenges of system-on-chip (SoC) design in the nanoscale technologies. In this paper, a methodology is presented to develop an efficient routing algorithm for network-on-chip platforms that are specialized for an application or a set of concurrent applications. The proposed routing methodology, based on the hybrid particle swarm optimization (PSO) Algorithm, is applied on the 2D-mesh NoC platform to balance the link load. Experimental results show that this routing algorithm can efficiently assign deterministic, deadlock-free, minimal routing paths for traffic traces in a short period of time, and significantly guarantee the bandwidth requirement. In addition, the Hybrid PSO is combined with the operations of GA Algorithm, so that the algorithm achieves better performance.
Keywords
network routing; network-on-chip; particle swarm optimisation; 2D-mesh NoC platform; NoC routing; hybrid particle swarm optimization algorithm; network-on-chip; Algorithm design and analysis; Bandwidth; Network topology; Network-on-a-chip; Particle swarm optimization; Quality of service; Routing; Switches; System-on-a-chip; Virtual colonoscopy; Network-on-chip (NoC); Particle Swarm Optimization (PSO) Algorithm; Quality of Service (QoS); routing algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing, 2009. WGEC '09. 3rd International Conference on
Conference_Location
Guilin
Print_ISBN
978-0-7695-3899-0
Type
conf
DOI
10.1109/WGEC.2009.42
Filename
5402763
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