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An Efficient Traffic-Based Routing Algorithm for 3D Networks-on-Chip

机译:基于3D网络的高效路由算法

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Network-on-Chip (NoC) is proposed to solve the communication challenges in multiprocessor System-on-Chip architecture. 3D NoC uses through silicon vias to stack multiple 2D silicon layers and obtain better performance. However, 3D NoC has to design an efficiently adaptive routing algorithm to overcome huge traffic load problems. An adaptive routing algorithm is composed of routing function (RF) and selection function (SF). RF decides a set of deadlock-free candidate paths, and SF chooses a proper routing path from those candidates. In this paper, we propose a novel traffic-based routing algorithm, TBRA, to achieve better performance. TBRA combines some advantages from different routing algorithms and selects adaptive routing algorithms according to the traffic load. Furthermore, it also collects two hops data of networks to determine the better routing path. Simulation results show that the proposed scheme significantly improves the transmission latency, the throughput, and the energy consumption.
机译:网络级芯片(NOC),提出了解决多处理器系统级芯片架构的通信挑战。三维的NoC使用穿硅通孔以堆叠多个2D硅层,将获得更好的性能。然而,3D奥委会设计一个高效自适应路由算法来克服巨大的流量负荷问题。自适应路由算法是由路由功能(RF)和选择功能(SF)的。 RF决定了一组无死锁候选路径,并SF选择从这些候选人的适当路由路径。在本文中,我们提出了一种新的基于流量路由算法,TBRA,以达到更好的性能。 TBRA组合来自不同的路由算法和选择一些优势根据业务负载自适应路由算法。此外,它也收集网络的两点跳的数据,以确定更好的路由路径。仿真结果表明,该方案显著提高了传输时延,吞吐量和能量消耗。

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