Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion

TL;DR

This paper presents a new analytical model for priority-aware NoCs with deflection routing, accurately estimating latency under heavy traffic, which is crucial for predictable performance in high-demand scenarios.

Contribution

It introduces a novel analytical approach that accounts for deflected traffic in priority-aware NoCs, improving latency estimation accuracy during congestion.

Findings

Proposed model estimates latency with less than 8% error.

Model outperforms existing approaches in accuracy.

Effective for real application traffic scenarios.

Abstract

Priority-aware networks-on-chip (NoCs) are used in industry to achieve predictable latency under different workload conditions. These NoCs incorporate deflection routing to minimize queuing resources within routers and achieve low latency during low traffic load. However, deflected packets can exacerbate congestion during high traffic load since they consume the NoC bandwidth. State-of-the-art analytical models for priority-aware NoCs ignore deflected traffic despite its significant latency impact during congestion. This paper proposes a novel analytical approach to estimate end-to-end latency of priority-aware NoCs with deflection routing under bursty and heavy traffic scenarios. Experimental evaluations show that the proposed technique outperforms alternative approaches and estimates the average latency for real applications with less than 8% error compared to cycle-accurate simulations.