Arbitrary Size Benes Networks

1997 ◽  
Vol 07 (03) ◽  
pp. 279-284 ◽  
Author(s):  
Chihming Chang ◽  
Rami Melhem

The Benes network is a rearrangeable nonblocking network which can realize any arbitrary permutation. Overlall, the r-dimensional Benes network connects 2r inputs to 2r outputs through 2r - 1 levels of 2 × 2 switches. Each level of switches consists of 2r - 1 switches, and hence the size of the network has to be a power of two. In this paper, we extend Benes networks to arbitrary sizes. We also show that the looping routing algorithm used in Benes networks can be slightly modified and applied to arbitrary size Benes networks.

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.


2014 ◽  
Vol 42 ◽  
pp. 313-319 ◽  
Author(s):  
Abbas Karimi ◽  
Kiarash Aghakhani ◽  
Seyed Ehsan Manavi ◽  
Faraneh Zarafshan ◽  
S.A.R. Al-Haddad

2002 ◽  
Vol 12 (03n04) ◽  
pp. 287-296 ◽  
Author(s):  
B. BEAUQUIER ◽  
E. DARROT

Motivated by problems in telecommunication satellites, we investigate rearrangeable permutation networks made of binary switches. A simple counting argument shows that the number of switches necessary to build a n × n rearrangeable networks (i.e. capable of realizing all one-to-one mappings of its n inputs to its n outputs) is at least ⌈ log 2 (n!) ⌉ = n log 2 n - n log 2 e + o(n) as n → ∞. For n = 2r, the r-dimensional Beneš network gives a solution using [Formula: see text] switches. Waksman, and independently Goldstein and Leibholz, improved these networks using n log 2 n - n + 1 switches. We provide an extension of this result to arbitrary values of n, using [Formula: see text] switches. Finally the fault-tolerance issue of these networks is discussed.


2012 ◽  
Vol 48 (21) ◽  
pp. 30-34
Author(s):  
Gaurav Kumar ◽  
Sandeep Sharma
Keyword(s):  

VLSI Design ◽  
1995 ◽  
Vol 2 (4) ◽  
pp. 353-364 ◽  
Author(s):  
Isaac D. Scherson ◽  
Chi-Kai Chien

Least Common Ancestor Networks (LCANs) are introduced and shown to be a class of networks that include fattrees, baseline networks, SW-banyans and the router networks of the TRAC 1.1 and 2.0 and the CM-5. Some LCAN properties are stated and the circuit-switched permutation routing capabilities of an important subclass are analyzed. Simulation results for three permutation classes verify the accuracy of an iterative analysis for a randomized routing strategy. These results indicate that the routing strategy provides highly predictable router performance for all permutations. An off-line routing algorithm is also given, and it is shown how to realize certain classes of permutations by adapting Nassimi and Sahni's, and Raghavendra and Boppana's self-routing algorithms for Benes networks.


Author(s):  
Amitabha Chakrabarty ◽  
Martin Collier ◽  
Sourav Mukhopadhyay

This paper proposes an adaptive unicast routing algorithm for large scale symmetric networks comprising 2 × 2 switch elements such as Beneš networks. This algorithm trades off the probability of blocking against algorithm execution time. Deterministic algorithms exploit the rearrangeability property of Beneš networks to ensure a zero blocking probability for unicast connections, at the expense of extensive computation. The authors’ algorithm makes its routing decisions depending on the status of each switching element at every stage of the network, hence the name adaptive routing. This method provides a low complexity solution, but with much better blocking performance than random routing algorithms. This paper presents simulation results for various input loads, demonstrating the tradeoffs involved.


2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Aftab Hussain ◽  
Muhammad Numan ◽  
Nafisa Naz ◽  
Saad Ihsan Butt ◽  
Adnan Aslam ◽  
...  

Topological indices (TIs) transform a molecular graph into a number. The TIs are a vital tool for quantitative structure activity relationship (QSAR) and quantity structure property relationship (QSPR). In this paper, we constructed two classes of Benes network: horizontal cylindrical Benes network HCB r and vertical cylindrical Benes network obtained by identification of vertices of first rows with last row and first column with last column of Benes network, respectively. We derive analytical close formulas for general Randić connectivity index, general Zagreb, first and the second Zagreb (and multiplicative Zagreb), general sum connectivity, atom-bond connectivity ( VCB r ), and geometric arithmetic ABC index of the two classes of Benes networks. Also, the fourth version of GA and the fifth version of ABC indices are computed for these classes of networks.


2011 ◽  
Vol E94-B (6) ◽  
pp. 1625-1629
Author(s):  
Atsufumi MORIYAMA ◽  
Hiroshi ISHINISHI ◽  
Katsuichi NAKAMURA ◽  
Yoshiaki HORI

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