An Extensive Power and Performance Analysis for High Dimensional Mesh and Torus Interconnection Networks

Faiz Al Faisal, M. M. Hafizur Rahman and Yasushi Inoguchi
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Faiz Al Faisal: Department of Computer Science and Engineering, Green University of Bangladesh, Bangladesh
M. M. Hafizur Rahman: Department of Computer Networks and Communications, King Faisal University, Saudi Arabia
Yasushi Inoguchi: Research Center for Advanced Computing Infrastructure, Japan Advanced Institute of Science and Technology, Japan

International Journal of Distributed Systems and Technologies (IJDST), 2023, vol. 14, issue 1, 1-19

Abstract: The next generation parallel computers are the keys to achieve exascale performance, whereas sequential computers have already been saturated. In order to achieve this mighty target of exascale computing, one of the main challenges is the reduction of power consumption along with achieving suitable performance. Energy efficiency is a key feature to ensure the trade-off between the performances over the required power usages. Hence, to focus on those issues, the target of this article is to analyze the performance versus power usage trade-off for the conventional networks like- Mesh and Torus. High degree networks show much better performance than the low degree of networks. However, high degree networks require higher power usage for their high degree of interconnected links. This article showed that with zero load latency, the 3D Torus could show about 57.07% better performance than a 2D Torus. On the other hand, a 2D Mesh network requires about 24.22% less router power usage than the 3D Mesh, & 5D Torus requires about 66.8% higher router power usage than a 3D Torus network.

Date: 2023
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