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Distributed Dynamic Rate Adaptation on a Network on Chip with Traffic Distortion

机译:交通失真芯片网络上的分布式动态速率适应

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A NoC-based system subject to real-time constraints requires hard bounds on end-to-end data transfer latencies. Regulating the channel injection rates solves the problem by suppressing link congestion and router queue saturation, provided that the channel rates guarantee fairness in the data distribution. We propose a distributed algorithm for the computation of a channel rate vector solution, suitable for runtime execution on the system. The algorithm takes into account the capacity constraints on every link, but also fulfills the distortion constraints. It leads to a near-optimal solution in a few iterations, with less than 10% of vector distance from the optimal solution. The algorithm is valid for software implementation on manycore systems and applicable to any Network-On-Chip based system. Our hardware implementation is distributed into the network infrastructure and converges in around 500 clock cycles on a 4x4 network configuration.
机译:经过实时约束的基于NOC的系统需要在端到端数据传输延迟上的硬界。通过抑制链路拥塞和路由器队列饱和度来调节通道注射率解决了问题,条件是信道速率保证数据分布中的公平性。我们提出了一种用于计算信道速率矢量解决方案的分布式算法,适用于系统上的运行时执行。该算法考虑了每个链接上的容量约束,而且满足失真约束。它导致几个迭代中的近乎最佳解决方案,距离最佳解决方案的距离距离不到10%。该算法对于多核系统上的软件实现是有效的,并且适用于任何基于网络的基于网络的系统。我们的硬件实现分布到网络基础架构中,并在4x4网络配置上收敛于约500个时钟周期。

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