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A new fuzzy input selection technique to increase routing efficiency for Network-On-Chip

机译:一种新的模糊输入选择技术,可提高片上网络的路由效率

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The performance of Network-On-Chip(NOC) largely depends on the underlying routing techniques. A routing technique has two constituencies: output selection and input selection. This paper focuses on the improvement of input selection part. Two traditional input selections have been used in NOC, First-Come-First-Served (FCFS) input selection and Round-Robin input selection. Also, recently a contention-aware input selection (CAIS) technique has been presented for NOC, but there is some problem and defects in this technique. In this paper we eliminate the problems and defects of CAIS technique to develop a simple yet effective input selection technique named FCAIS. When there are contentions of multiple input channels competing for the same output channel, FCAIS decides which input channel obtains the access depending on the two parameters: contention level of the upstream switches and AGE of the all input channels. In this scheme each switch selects one of the input channels with highest priority, which is calculated by a fuzzy controller. The simulation results with different traffic patterns show that FCAIS can achieves better performance than the FCFS and CAIS input selections, when combined with either deterministic or adaptive output selection.
机译:片上网络(NOC)的性能在很大程度上取决于基础路由技术。路由技术有两个组成部分:输出选择和输入选择。本文重点研究输入选择部分的改进。 NOC中使用了两种传统的输入选择,即“先来先服务(FCFS)”输入选择和“轮循”输入选择。另外,近来已经提出了用于NOC的竞争感知输入选择(CAIS)技术,但是该技术存在一些问题和缺陷。在本文中,我们消除了CAIS技术的问题和缺陷,从而开发了一种简单而有效的输入选择技术,称为FCAIS。当多个输入通道争用同一个输出通道时,FCAIS将根据以下两个参数来决定哪个输入通道获得访问权限:上游交换机的竞争级别和所有输入通道的AGE。在该方案中,每个开关选择具有最高优先级的输入通道之一,该输入通道由模糊控制器计算得出。不同流量模式的仿真结果表明,与确定性或自适应输出选择结合使用时,FCAIS可以比FCFS和CAIS输入选择获得更好的性能。

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