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

机译:基于高效的3D网络路由路由算法

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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:建议芯片上网(NOC)来解决多处理器系统上芯片架构中的通信挑战。 3D NOC通过硅通孔使用以堆叠多个2D硅层并获得更好的性能。但是,3D NOC必须设计有效的自适应路由算法来克服巨大的交通负荷问题。自适应路由算法由路由功能(RF)和选择功能(SF)组成。 RF决定了一组无锁锁候选路径,SF从那些候选者中选择了一个正确的路由路径。在本文中,我们提出了一种新的基于流量的路由算法TBRA,以实现更好的性能。 TBRA与不同的路由算法中的一些优点相结合,并根据交通负载选择自适应路由算法。此外,它还收集两个网络的跳跃数据以确定更好的路由路径。仿真结果表明,该方案显着提高了传输延迟,吞吐量和能源消耗。

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