在片上网络架构中通过自适应数据压缩来降低功耗

Mehdi Taassori, Mohsen Mossavi
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引用次数: 3

摘要

本文提出了一种自适应压缩技术,与压缩后的原始数据和未压缩的数据相比,该技术降低了数据的功耗。我们采用了一种按发射机和接收机之间的距离进行压缩的方法。我们表明,压缩所有距离的数据是没有用的。实验结果表明,该方法可节省24%的功耗。我们还在压缩器中加入了编码方法,以实现比特和过渡的减少。实验结果表明,采用编解码器和自适应部分,可节省30%的电能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power reduction through adaptive data compression in Network-on-Chip architectures
In this paper we present an adaptive compression technique that reduce the power consumption when compare to the compressed and original uncompressed data. We adapt a compression method by distances between transmitter and receiver. We show that compressing data for all of the distances is not useful. Experimental results indicate that our approach save power consumption as much as 24%. We also add encoding approach to compressor, to achieve both bit and transition reduction. Experimental results show that by using coder and decoder and adapting part, power saving can reach up to 30%.
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