Dual Congestion Awareness scheme in On-Chip Networks

M. Ebrahimi, M. Daneshtalab, J. Plosila, H. Tenhunen
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Abstract

One of the main factors limiting the performance of Networks-on-Chip is congestion. Routing algorithms perform an important role in distributing the traffic load over the network by providing alternative routing paths. The major parts of research works avoid congestion by considering the traffic condition in the forward paths and delivering packets through less congested paths. However, they do not consider the impact of the router arbitration in traffic distribution. On the other hand, traditional methods usually consider the traffic at the node level rather than a region level. In this paper, we propose a method named Dual Congestion Awareness (DuCA) which involves the congestion information about forward paths in the routing decision and backward paths in the router arbitration. DuCA can efficiently use the traffic information to transmit packets through less congested areas (using congestion information about forward paths) and steer traffic from highly congested regions to low congested areas (using congestion information in backward paths). Finally, DuCA is a region-based approach, providing a wider view of the network traffic.
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片上网络中的双拥塞感知方案
限制片上网络性能的主要因素之一是拥塞。路由算法通过提供可选的路由路径,在网络上分配流量负载方面发挥着重要作用。研究工作的主要部分是通过考虑转发路径上的流量状况,通过拥塞较少的路径来避免拥塞。但是,它们没有考虑路由器仲裁对流量分配的影响。另一方面,传统方法通常在节点级别而不是区域级别考虑流量。本文提出了一种双拥塞感知(Dual拥塞Awareness, DuCA)方法,该方法在路由决策中包含前向路径的拥塞信息,在路由器仲裁中包含后向路径的拥塞信息。DuCA可以有效地利用流量信息通过拥塞较少的区域(利用正向路径的拥塞信息)传输数据包,并将流量从高拥塞区域引导到低拥塞区域(利用反向路径的拥塞信息)。最后,DuCA是一种基于区域的方法,提供了更广泛的网络流量视图。
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