DocumentCode
2010743
Title
A General Approach for Analytical Modeling of Irregular NoCs
Author
Moraveji, Reza ; Moinzadeh, Paria ; Sarbazi-Azad, Hamid
Author_Institution
Dept. ECE, Shahid-Beheshti Univ., Tehran
fYear
2008
fDate
10-12 Dec. 2008
Firstpage
327
Lastpage
334
Abstract
So far, many analytical models have been proposed in the literature to evaluate the performance of networks with different topologies such as hypercube,torus, mesh, hypermesh, Cartesian product networks, star graph, and k-ary n-cube; however, to the best of our knowledge, no mathematical model has been presented for irregular networks. Therefore, as an effort to fill this gap, this paper presents a comprehensive mathematical model for fully adaptive routing in wormhole-switched irregular networks. Moreover, since our approach holds no assumption for the network topology, the proposed analytical model covers all the a forementioned models (i.e. it covers both regular and irregular topologies). Furthermore, the model makes no preliminary assumption about the deadlock-free routing algorithm applied to the network. Finally, besides the generality of the model regarding the topology and routing algorithm, our analysis shows that the analytical model exhibits high accuracy which enables it to be used for almost all topologies with all traffic loads.
Keywords
multiprocessor interconnection networks; network routing; network topology; network-on-chip; NoC; analytical modeling; comprehensive mathematical model; deadlock-free routing algorithm; fully adaptive routing; network topology; wormhole-switched irregular network; Analytical models; Computer science; Mathematical model; Network topology; Network-on-a-chip; Performance analysis; Routing; Switches; System recovery; Telecommunication traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Processing with Applications, 2008. ISPA '08. International Symposium on
Conference_Location
Sydney, NSW
Print_ISBN
978-0-7695-3471-8
Type
conf
DOI
10.1109/ISPA.2008.109
Filename
4725164
Link To Document