Low power data processing by elimination of redundant computations

Mir Azam, P. Franzon, Wentai Liu
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引用次数: 43

Abstract

We suggest a new technique to reduce energy consumption in the processor datapath without sacrificing performance by exploiting operand value locality at run time. Data locality is one of the major characteristics of video streams as well as other commonly used applications. We use a cache-like scheme to store a selective history of computation results, and the resultant re-use leads to power savings. The cache is indexed by the operands. Based on our model, an 8 to 128 entry execution cache reduces power consumption by 20% to 60%.
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通过消除冗余计算的低功耗数据处理
我们提出了一种新的技术,通过在运行时利用操作数值局部性,在不牺牲性能的情况下减少处理器数据路径中的能耗。数据局部性是视频流以及其他常用应用程序的主要特征之一。我们使用类似缓存的方案来存储计算结果的选择性历史记录,由此产生的重用可以节省电力。缓存由操作数索引。根据我们的模型,8到128个条目的执行缓存可以将功耗降低20%到60%。
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