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A systematic reordering mechanism for on-chip networks using efficient congestion-aware method

机译:使用高效拥塞感知方法的片上网络的系统重排序机制

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In-order delivery is a critical issue of memory parallelism in network-based MPSoCs where multiple memories can be accessed simultaneously. In addition to the in-order delivery, network congestion is another subtle point that required to be taken into account for such architectures. Therefore, a congestion-aware method is necessitated to deal with the network congestion while coping with the ordering of transactions. In this paper, we present a streamlined method, named Global Load Balancing (GLB), in order to reduce the network congestion. The ideas behind the GLB method are twofold. The first idea is to use the global congestion information as a metric for arbitration in routers to reduce the congestion level of highly congested areas. The second idea is to use an adaptive scheduler in network interfaces based on the global congestion information to avoid additional traffic to congested areas. Experimental results with synthetic test cases demonstrate that the on-chip network utilizing the GLB method considerably outperforms a conventional on-chip network.
机译:在可以同时访问多个存储器的基于网络的MPSoC中,按顺序交付是存储器并行性的关键问题。除了按顺序交付外,网络拥塞是此类架构需要考虑的另一个细微问题。因此,需要一种拥塞感知方法来处理网络拥塞,同时应对事务的排序。在本文中,我们提出了一种简化的方法,称为全局负载平衡(GLB),目的是减少网络拥塞。 GLB方法背后的想法是双重的。第一个想法是使用全局拥塞信息作为路由器中仲裁的度量,以减少高度拥塞区域的拥塞程度。第二个想法是基于全局拥塞信息在网络接口中使用自适应调度程序,以避免流向拥塞区域的额外流量。综合测试案例的实验结果表明,利用GLB方法的片上网络大大优于常规的片上网络。

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