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Round-trip latency prediction for memory access fairness in mesh-based many-core architectures

机译:基于网格的多核体系结构中内存访问公平性的往返延迟预​​测

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References(13) In mesh-based many-core architectures, processor cores and memories reside in different locations (center, corner, edge, etc.), therefore memory accesses behave differently due to their different communication distances. The latency difference leads to unfair memory access and some memory accesses with very high latencies, degrading the system performance. However, improving one memory access’s latency can worsen the latency of another since memory accesses contend in the network. Therefore, the goal should focus on memory access fairness through balancing the latencies of memory accesses while ensuring a low average latency. In the paper, we address the goal by proposing to predict the round-trip latencies of memory access related packets and use the predicted round-trip latencies to prioritize the packets. The router supporting fair memory access is designed and its hardware cost is given. Experiments are carried out with a variety of network sizes and packet injection rates and prove that our approach outperforms the classic round-robin arbitration in terms of average latency and LSD. In the experiments, the maximum improvement of the average latency and the LSD are 16% and 48% respectively.
机译:参考文献(13)在基于网格的多核体系结构中,处理器核和内存位于不同的位置(中心,拐角,边缘等),因此,由于它们的通信距离不同,内存访问的行为也有所不同。延迟差异会导致不公平的内存访问,并导致某些内存访问具有很高的延迟,从而降低了系统性能。但是,由于内存访问在网络中竞争,因此改善一个内存访问的延迟可能会使另一个内存的延迟恶化。因此,目标应通过平衡内存访问的延迟,同时确保较低的平均延迟,将重点放在内存访问的公平性上。在本文中,我们通过提出预测与内存访问相关的数据包的往返延迟并使用预测的往返延迟对数据包进行优先级排序来解决该目标。设计了支持公平内存访问的路由器,并给出了其硬件成本。在各种网络规模和数据包注入速率下进行了实验,证明了我们的方法在平均延迟和LSD方面优于经典的轮询仲裁。在实验中,平均延迟和LSD的最大改善分别为16%和48%。

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