优先级感知的NoCs偏射路由在业务拥塞下的性能分析
Performance Analysis of Priority-Aware NoCs with Deflection Routing under Traffic Congestion
摘要：
优先级感知片上网络（NoC）在工业中用于在不同的工作负载条件下实现可预测的延迟。这些NoC结合了偏转路由，以最大限度地减少路由器内的排队资源，并在低流量负载期间实现低延迟。然而，在高流量负载期间，偏转的分组可能会加剧拥塞，因为它们消耗NoC带宽。优先级感知NoC的最先进的分析模型忽略了偏转的流量，尽管它在拥塞期间具有显著的延迟影响。本文提出了一种新的分析方法来估计端到端的延迟的优先级感知的NoCs与偏转路由下突发和繁忙的流量场景。实验评估表明，所提出的技术优于其他方法，并估计实际应用的平均延迟小于8%的误差相比，周期准确的模拟。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
