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Instruction replication for reducing delays due to inter-PE communication latency

机译:指令复制可减少PE间通信延迟带来的延迟

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As feature sizes are becoming smaller, wire delays are becoming very critical. Clustering is a popular decentralization approach to reduce the impact of shrinking technologies on clock speed. In this approach, the centralized instruction window is replaced with multiple smaller windows, called clusters (PEs). The performance of these clustered processors depends on the amount of inter-PE communication and load imbalance incurred by the distribution algorithm used to distribute instructions among the PEs. In this paper, we investigate a novel approach of reducing the impact of inter-PE communication latency, while preserving good load balance. The basic idea is to selectively replicate instructions in those PEs where their results are required. The replication is done based on heuristics that weigh the potential benefits of replication. We found that, with instruction replication, the IPC of a clustered processor is significantly higher than that obtained without instruction replication and is within just 8 percent of that of a superscalar configuration with a centralized instruction scheduler.
机译:随着特征尺寸越来越小,连线延迟变得非常关键。集群是一种流行的去中心化方法,可以减少不断缩小的技术对时钟速度的影响。在这种方法中,集中式指令窗口被称为簇(PE)的多个较小的窗口所代替。这些集群处理器的性能取决于PE间的通信量和由用于在PE之间分配指令的分配算法引起的负载不平衡。在本文中,我们研究了一种在保持良好负载平衡的同时减少PE间通信延迟影响的新颖方法。基本思想是在需要其结果的PE中有选择地复制指令。复制是基于权衡启发的潜在优势而进行的。我们发现,使用指令复制,群集处理器的IPC显着高于没有指令复制的IPC,并且仅在具有集中式指令调度程序的超标量配置的8%之内。

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