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Analytic Performance Modeling of a Fully Adaptive Routing Algorithm in the Torus.

Authors :
Yi Pan
Daoxu Chen
Minyi Guo
Jiannong Cao
Dongarra, Jack J.
Rezazad, Mostafa
Sarbazi-azad, Hamid
Source :
Parallel & Distributed Processing & Applications (9783540297697); 2005, p984-989, 6p
Publication Year :
2005

Abstract

Over the past decade, many fully adaptive routing algorithms have been proposed in the literature, of which Duato's routing algorithm has gained considerable attention for analytical modeling. In this study we propose an analytical model to predict message latency in wormhole routed 2-dimensional torus networks in which fully adaptive routing, based on Linder-Harden's methodology [10], is employed. This methodology presents a framework in which adaptive routing algorithms can be developed for the k-ary n-cube network. Simulation experiments reveal that the latency results predicted by the proposed analytical model are in good agreement with those provided by simulation experiments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540297697
Database :
Supplemental Index
Journal :
Parallel & Distributed Processing & Applications (9783540297697)
Publication Type :
Book
Accession number :
32965600
Full Text :
https://doi.org/10.1007/11576235_98