Design and Analysis of a New Reduced Switch Scalable MIN Fat Tree Topology

Authors

  • Abhijit Biswas Assam University
  • Anwar Hussain North Eastern Regional Institute of Science and Technology

DOI:

https://doi.org/10.13053/cys-26-2-3902

Keywords:

Network-on-chip, FAT tree, switch, topology, end to end Delay, hop count, routing algorithm.

Abstract

This paper presents a reduced switch scalable MIN fat tree with new inter-router connections. Unlike the conventional fat Tree, consecutive switches are connected with new bidirectional links for faster intergroup communication. In case of traditional Fat Tree, a packet has to travel upward upto  the level called summit from where the downward path to the client is available, most often the summit is at the highest router level of the MIN Fat Tree. The proposed topology aims at lowering the summit by eliminating the entire topmost switch level, thereby reducing the size of the network significantly without considerable degradation in the network performance and maintaining the scalable property of the MIN fat Tree. The results indicate that the proposed network can not only reduce the delay but also reduce the number of switches to a great extent. It was found that around 33.33% of switches were reduced in the proposed network for eight clients and 14.28% for 128 clients.

Author Biographies

Abhijit Biswas, Assam University

Assistant Professor, Department of Computer Science and Engineering

Anwar Hussain, North Eastern Regional Institute of Science and Technology

Professor, Department of Electronics and Communication Engineering

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Published

2022-06-15

Issue

Vol. 26 No. 2 (2022): Emerging Issues and Applications of Fuzzy Systems, Neural Networks and Metaheuristics (Castillo, Melin, Montiel, Valdez)

Section

Articles

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