低延迟高带宽互连网络的距离感知压缩

Yuqing Zhou, Naoya Niwa, H. Amano
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引用次数: 0

摘要

片上网络是当今多核系统的重要组成部分。当芯片上可用的线路数量有限时,有时会出现拥塞,并且延迟的增加会降低并行应用程序的性能。为了缓解这种网络拥塞,提出了选择性数据压缩,根据数据包长度和流量情况对数据包进行压缩和解压缩。但是,由于该算法不关心节点的位置,因此即使在相邻节点之间传输数据包也会进行压缩和解压缩。本文提出了一种距离感知(DA)压缩机制来选择数据包是否应该根据到目的地的距离进行压缩。对于发送到距离大于阈值的节点的数据包,在发送方的网络接口进行运行长度无损压缩,在接收方的网络接口进行解压缩。周期级网络仿真结果表明,选择性压缩方法的带宽提高了45%,延迟提高了1.26倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distance Aware Compression for Low Latency High Bandwidth Interconnection Network
NoC(Network-on-Chip)s is an essential component of recent multi-core systems. When the number of wires available on a chip is limited, it is sometimes congested and increased la-tency can degrade the parallel application performance. The selective data compression has been proposed to mitigate such network congestion by compressing and decompressing packets based on the packet length and traffic situation. However, since the algorithm does not care the location of nodes, the compression and decompression are performed even when the packet is transferred between neighboring nodes. This paper proposes a distance aware (DA) compression mechanism to select whether the packet should be compressed by the distance to the destination. The packets to the nodes whose distance is larger than threshold level are compressed with a run-length loss-less compression at the sender's network interface and de-compressed at the receiver's network interface. Cycle level network simulation results show that the selective compression method achieves up to 45% bandwidth improve-ment with 1.26 times increase of the latency.
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