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ADAPTIVE METHODS TO MINIMIZE DECOMPRESSION OVERHEAD FOR COMPRESSED ON-CHIP CACHES

机译:最小化压缩的在线缓存的开销的自适应方法

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摘要

Decompression time is the largest overhead in online compression techniques, and may offset any benefit obtained by compression. This article presents the upper bounds of decompression overhead required to achieve performance improvement in compressed memory systems and proposes several effective techniques for reducing or hiding decompression overhead. These techniques include selective compression, the choice of X-RL algorithm, early restarting, overlapped decompression, and use of a decompression buffer. Moreover, the conceptual architecture of a compressed memory system using the proposed techniques is suggested. These techniques are evaluated via simulation. The simulation results show that the proposed techniques can sufficiently reduce the decompression overhead to attain performance improvement against conventional memory systems.
机译:解压缩时间是在线压缩技术中最大的开销,并且可能抵消通过压缩获得的任何好处。本文介绍了在压缩存储系统中实现性能改进所需的解压缩开销的上限,并提出了几种减少或隐藏解压缩开销的有效技术。这些技术包括选择性压缩,X-RL算法的选择,提早重启,重叠解压缩以及使用解压缩缓冲区。此外,提出了使用所提出的技术的压缩存储系统的概念架构。这些技术通过仿真进行评估。仿真结果表明,所提出的技术可以充分减少解压缩开销,从而获得相对于传统存储系统的性能改进。

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