Performance Assessment of Edge Traffic Distribution Routing Algorithm for Graphene Based Network-on-Chip

Abstract

Network-on-chip (NoC) has evolved as new paradigm for high-dense interconnect configurations in advanced integrated circuit designs. The increasing numbers of transistor cores with decrease in chip area is the leading motivation behind employment of NoC over SoC architectures. NoC can be addressed a move ahead from computation-centric to communication-centric design and the implementation of scalable communication structures. NoC provides re-configurable interconnections between the different cores in SoC design. It maximizes data transfer speed and reduction in wiring congestion. For further effective enhancing performance of NoCs, it is investigated that incorporation of graphene material can be good for realizing interconnects. As the graphene has the remarkable physical properties it is one of the most important emerging research material for not only the front-end but also for the back-end devices. In this work, edge traffic distribution (ETD) algorithm is explored along with magnificent graphene based interconnects for NoC design. Performance parameters considered are delay, power, energy, and throughput. It is investigated that the ETD routing algorithm leads to reduced delay, higher throughput, and smaller packet loss. Further, it is also analyzed that if the copper based router-to-router link of a mesh based NoC is replaced by a grahene based link then it leads to smaller energy consumption whenever there is a flit transfer from one router to the other. The assessment of NoC structures has been performed using Noxim and SPICE electronic design automation tools.