利用宏观数据负载减少缓存流量和能量

Lei Jin, Sangyeun Cho
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引用次数: 15

摘要

本文对宏数据加载进行了研究,这是一种提高加载值重用的有效机制。宏数据加载将缓存端口允许的最大宽度数据值带入处理器,将其保存在内部结构中,便于以后加载重用。使用广义内存值重用表(MVRT)进行的全面限制研究表明,宏数据负载提供了显著增加的重用机会。我们还描述了一个修改后的负载存储队列设计,作为所提出概念的实现。我们的定量研究表明,在SPEC2k整数和MiBench程序中,可以消除超过35%的L1缓存访问,从而平均分别减少24%和35%的相关能量
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reducing Cache Traffic and Energy with Macro Data Load
This paper presents a study on macro data load, an efficient mechanism to enhance loaded value reuse. A macro data load brings into the processor a maximum-width data value the cache port allows, saves it in an internal structure, and facilitates reuse by later loads. A comprehensive limit study using a generalized memory value reuse table (MVRT) shows the significantly increased reuse opportunities provided by macro data load. We also describe a modified load store queue design as an implementation of the proposed concept. Our quantitative study shows that over 35% of L1 cache accesses in the SPEC2k integer and MiBench programs can be eliminated, resulting in a related energy reduction of 24% and 35% on average, respectively
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