DocumentCode :
1756057
Title :
Application Mapping Onto Mesh-Based Network-on-Chip Using Discrete Particle Swarm Optimization
Author :
Sahu, P.K. ; Shah, Tejal ; Manna, Kanchan ; Chattopadhyay, Subrata
Author_Institution :
Dept. of Electron. & Electr. Commun. Eng., Indian Inst. of Technol. Kharagpur, Kharagpur, India
Volume :
22
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
300
Lastpage :
312
Abstract :
This paper presents a discrete particle swarm optimization (PSO)-based strategy to map applications on both 2-D and 3-D mesh-connected Networks-on-Chip. The basic PSO formulation has been augmented by: 1) running multiple PSOs and 2) deterministically generating a part of the initial population for PSO. The mapping results, in terms of the overall communication metric, have been compared with well-known techniques reported in the literature and also with exact methods built around integer linear programming (ILP). Our PSO-based results are superior to those from reported techniques. For smaller benchmarks, the results obtained are same as those corresponding to the ILP formulation, establishing the quality of the solution strategy.
Keywords :
integer programming; linear programming; network-on-chip; particle swarm optimisation; 2D mesh connected networks-on-chip; 3D mesh connected networks-on-chip; ILP; application mapping; discrete PSO strategy; discrete particle swarm optimization; integer linear programming; Bandwidth; Complexity theory; Convergence; Particle swarm optimization; Sociology; Statistics; Topology; Application mapping; discrete particle swarm optimization (PSO); mesh topology; network-on-chip (NoC);
fLanguage :
English
Journal_Title :
Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-8210
Type :
jour
DOI :
10.1109/TVLSI.2013.2240708
Filename :
6478841
Link To Document :
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