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
Link To Document :
بازگشت