A Comparative Performance Evaluation of Network-on-Chip Architectures under Self-Similar Traffic

Abstract

The actual traffic data collected on various applications specific on-chip networks exposed that the network traffic is self-similar in nature. In this work, modeling of self-similar traffic by aggregation of a large number of on-off Pareto sources has been discussed. We have developed a cycle accurate network simulator for evaluating the performance of wormhole router based network by varying locality factor and offered load. The performance of a Mesh-of-Tree (MoT) based network has been compared with mesh and Butterfly Fat Tree (BFT) based networks all having 32 cores. We have shown that MoT based networks perform better than mesh and BFT under self-similar traffic.