Embedding Circulant Networks into Butterfly and Benes Networks

Author(s):  
R. Sundara Rajan ◽  
Indra Rajasingh ◽  
Paul Manuel ◽  
T. M. Rajalaxmi ◽  
N. Parthiban
2021 ◽  
Vol 1770 (1) ◽  
pp. 012084
Author(s):  
D Angel ◽  
R Mary Jeya Jothi ◽  
R Revathi ◽  
A. Raja

2019 ◽  
Vol 8 (2S11) ◽  
pp. 2858-2863

The main goal of this article is to implement an effective Non-Blocking Benes switching Network. Benes Switching Network is designed with the uncomplicated switch modules & it’s have so many advantages, small latency, less traffic and it’s required number of switch modules. Clos and Benes networks are play a key role in the class of multistage interconnection network because of their extensibility and mortality. Benes network provides a low latency when compare with the other networks. 8x8 Benes non blocking switching network is designed and synthesized with the using of Xilinx tool 12.1.


2006 ◽  
Vol 52 (5) ◽  
pp. 298-306 ◽  
Author(s):  
Tomaž Dobravec ◽  
Janez Žerovnik ◽  
Borut Robič

2018 ◽  
Vol 7 (3) ◽  
pp. 1154
Author(s):  
K Uma Samundesvari ◽  
Sindhuja G. Michael

In this paper, we define the monophonic embedding of graph G into graph H and we present an algorithm for finding the monophonic wirelength of circulant networks into the family of grids M(n×2), n≥2.The monophonic embedding of a graph G into a graph H is an embedding denoted by fm is a bijective map from the vertex set of G into the vertex set of H and fm is a one-one mapping from the edge set (x, y) of G into Pm(H) where Pm(H) is the set of monophonic paths between fm(x) and fm(y) for every fm(x), fm(y) H. The monophonic wirelength of fm of G into H is the sum of distances of monophonic paths between two vertices fm(x) and fm(y) in H such that (x, y) E(G). This paper presents a monophonic algorithm to find the monophonic wirelength of circulant networks G(2n, ±S) , where S {1,2,3,…,n} into the family of grids M[n×2],n≥2. We also derived a Lemma to get the monophonic edge congestion MEC(G,H).  


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