DLL: A dynamic latency-aware load-balancing strategy in 2.5D NoC architecture

Chen Li, Sheng Ma, Lu Wang, Zicong Wang, Xia Zhao, Yang Guo
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引用次数: 2

Abstract

As the 3D stacking technology still faces several challenges, the 2.5D stacking technology gains better application prospects nowadays. With the silicon interposer, the 2.5D stacking can improve the bandwidth and capacity of the memory system. To satisfy the communication requirements of the integrated memory system, the free routing resources in the interposer should be explored to implement an additional network. Yet, the performance is strongly limited by the unbalanced loads between the CPU-layer network and the interposer-layer network. In this paper, to address this issue, we propose a dynamic latency-aware load-balancing (DLL) strategy. Our key innovations are detecting congestion of the network layer via the average latency of recent packets and making the network layer selection at each source node. We leverage the free routing resources in the interposer to implement a latency propagation ring. With the ring, the latency information tracked at destination nodes is propagated back to source nodes. We achieve load-balance by using these information. Experimental results show that compared with the baseline design, a destination-detection strategy and a buffer-aware strategy, our DLL strategy achieves 45%, 14.9% and 6.5% of average throughput improvements with minor overheads.
2.5D NoC架构中的动态延迟感知负载平衡策略
由于3D堆叠技术仍面临诸多挑战,2.5D堆叠技术在当前获得了较好的应用前景。采用硅中间层的2.5D堆叠可以提高存储系统的带宽和容量。为了满足集成存储系统的通信需求,需要开发中间器中的空闲路由资源来实现附加网络。然而,cpu层网络和中介层网络之间的负载不平衡严重限制了性能。在本文中,为了解决这个问题,我们提出了一个动态延迟感知负载平衡(DLL)策略。我们的关键创新是通过最近数据包的平均延迟来检测网络层的拥塞,并在每个源节点上进行网络层选择。我们利用中介器中的空闲路由资源来实现延迟传播环。使用环,在目标节点上跟踪的延迟信息被传播回源节点。我们通过使用这些信息来实现负载平衡。实验结果表明,与基线设计、目标检测策略和缓冲区感知策略相比,我们的DLL策略在较小的开销下实现了45%、14.9%和6.5%的平均吞吐量改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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