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FACARS: A novel fully adaptive congestion aware routing scheme for network on chip

机译:FACARS:一种用于片上网络的新颖的完全自适应拥塞感知路由方案

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Congestion awareness is deemed a key feature in the design of reliable routing algorithms for network on chip, because of its grave impact on performance. Nonetheless, such task is by no means trivial, as locally aware schemes have a narrow vision on network state, which could lead to poor decision-making, and globally aware routing requires complex computation units and introduces the collection of excessive irrelevant information. In this paper, two versions of a novel reliable fully adaptive congestion aware routing algorithm for network on chip are introduced. The new scheme leverages both local and non-local information in path selection and offers a compromise between locally and globally aware routing. It investigates congestion in parts of the network close, not only to the source, but also to the destination node. Experimental results show that the proposed algorithm outperforms its peers for all configurations in terms of both average latency and throughput.
机译:拥塞意识被认为是针对片上网络的可靠路由算法设计中的关键特征,因为它会对性能产生严重影响。但是,这样的任务绝非易事,因为本地感知的方案对网络状态的视野狭窄,这可能导致决策不力,而全局感知的路由需要复杂的计算单元,并会引入过多的不相关信息。在本文中,介绍了一种用于片上网络的新颖可靠的完全自适应拥塞感知路由算法的两个版本。新方案在路径选择中利用了本地和非本地信息,并在本地和全局路由之间进行了折衷。它不仅调查源附近,还调查目标节点附近的网络部分的拥塞情况。实验结果表明,在平均延迟和吞吐量方面,该算法在所有配置上均优于同类算法。

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