Volume 20 No 22 (2022)
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Extended Tor-Cube: A New Scalable Hybrid Interconnection Network for Massive Computing
Rashmita Padhi , Nibedita Adhikari , BNB Ray and Sadashiba Pati
Abstract
The Interconnection networks are backbone of massive computing systems. They also involve message communication among the processing elements. To make the computation and communication faster the interconnection topology is always designed with some innovations. The current paper introduces a new hybrid interconnection topology called the Extended Tor Cube (ETC) for high end computing system. As compared to the other interconnection networks ETC is found to be more attractive in terms of topological parameters such as diameter, cost, average node distance, time cost effectiveness factor and message traffic density etc. It helps to improving the node packing density for high performance computing. Our proposed network is extremely scalable with sufficiently reduced diameter and also robust in nature. The suggested topology is hierarchical and easily expandable architecture. The various performance metrics show that the proposed topology is a better candidate for parallel processing and massive computing than its predecessors. The scalability with increasing dimension for the new network are also presented.
Keywords
Cost effectiveness, Fault tolerance, Packing Density, Message traffic density, Robust, Reliability, Routing
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