Research Article
A Statistical Analysis and Comparatively Study of Embedding Hypercube
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 103 - Issue 16 |
| Published: October 2014 |
| Authors: Mohd. Kalamuddin Ahmad, Mohd. Husain, A.A. Zilli |
10.5120/18155-9254
|
Mohd. Kalamuddin Ahmad, Mohd. Husain, A.A. Zilli . A Statistical Analysis and Comparatively Study of Embedding Hypercube. International Journal of Computer Applications. 103, 16 (October 2014), 1-7. DOI=10.5120/18155-9254
@article{ 10.5120/18155-9254,
author = { Mohd. Kalamuddin Ahmad,Mohd. Husain,A.A. Zilli },
title = { A Statistical Analysis and Comparatively Study of Embedding Hypercube },
journal = { International Journal of Computer Applications },
year = { 2014 },
volume = { 103 },
number = { 16 },
pages = { 1-7 },
doi = { 10.5120/18155-9254 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2014
%A Mohd. Kalamuddin Ahmad
%A Mohd. Husain
%A A.A. Zilli
%T A Statistical Analysis and Comparatively Study of Embedding Hypercube%T
%J International Journal of Computer Applications
%V 103
%N 16
%P 1-7
%R 10.5120/18155-9254
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Consider the K-arry n-cube network is the most significant network structure in parallel computer architecture. Therefore the generic structure of K-arry n-cube used to design the various networks with static network topology of different parameters, and its makes different types hypercube networks (N=2n ) from static networks known as embedded hypercube scalable inter-PE connection network suitable for parallel computing systems. Show how to design the good interconnection network in parallel Architecture for less density as well as diameter to route the data to different path. Also it has been proved with the computational results of entire system that the embedded hypercube interconnection networks built is highly scale up in terms of communication. A complete design analysis and comparison of network with various other networks is given using different network parameters, and statistical analysis comparative optimal of torus architecture rather than mesh architecture.
References
- K. Hwang, Advanced Computer Architecture: Parallelism, Scalability, Programmability. New York McGraw-Hill,1993.
- Kim Jong-Seok, Lee Hyeong-Ok and Heo Yeong-Nam, "Embedding among HCN(n,n), HFN(n,n) and hypercube" , Proceedings of Eighth International conference on parallel and distributed systems (ICPADS)-2001 pp 533 – 540, 26-29 June 2001.
- A. Louri and H. Sung, "An Optical Multi-Mesh Hypercube: A Scalable Optical Interconnection Network for Massively Parallel Computing," IEEE J. Lightwave Technology, vol. 12, pp. 704–716, Apr. 1994.
- N. Gopalakrishna Kini, M. Sathish Kumar and Mruthyunjaya H. S. , "A Torus Embedded Hypercube Scalable Interconnection Network for Parallel Architecture," IEEE explore conference publications, Mar. 2009, pp. 858-861.
- Ahmed Louri and Hongki Sung, "An Optical Multi-Mesh Hypercube: A Scalable Optical interconnection Network for Massively Parallel Computing," Journal of Light wave Technology, Vol. 12, No. 4, Apr. 1994, pp. 704-716.
- N. Gopalakrishna Kini, M. Sathish Kumar and Mruthyunjaya H. S," Performance Metrics Analysis of Torus Embedded Hypercube Interconnection Network", International Journal on Computer Science and Engineering Vol. 1(2), 2009, 78-80.
- L. M. Ni, and P. K. McKinley, "A Survey of Wormhole Routing Techniques in Direct Networks", IEEE Computer, vol. 26, no. 2, pp. 62-76, Feb. 1993.
- Kai Hwang, F. A. Briggs,"Computer Architecture and Parallel Processing ", McGraw-Hill International edition.
- M. K. Ahamad, M. Husain. " Required Delay of Packet Transfer Model for Embedded Interconnection Network" International Journal of Engineering Research & Technology (IJERT) Vol. 2 Issue 1, January- 2013 ISSN: 2278-0181.
- J. F. Fang, J. Y. Hsiao and C. Y. Tang, "Embedding Meshes and TORUS Networks onto degree-four chordal rings," IEE Proc. -Comput. Digit. Tech. , Vol. 145, No. 2, Mar. 1998.
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