数据访问历史缓存和相关的数据预取机制

Yong Chen, S. Byna, Xian-He Sun
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引用次数: 39

摘要

数据预取是弥合处理器和内存之间日益增长的性能差距的有效方法。由于计算能力的增长速度比内存性能快得多,我们建议现在是时候使用专用缓存来存储数据访问历史记录,并提供预取以有效地掩盖数据访问延迟。因此,我们提出了一种新的缓存结构,称为数据访问历史缓存(DAHC),并研究了其相关的预取机制。DAHC作为最近引用信息的缓存,而不是作为指令或数据的传统缓存。从理论上讲,它能够支持许多已知的基于历史的预取算法,特别是自适应和主动的方法。我们进行了模拟实验来验证DAHC设计和基于DAHC的数据预取方法,并展示了性能增益。DAHC提供了一种获取数据预取好处的实用方法,其相关的预取机制已被证明比传统方法更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data access history cache and associated data prefetching mechanisms
Data prefetching is an effective way to bridge the increasing performance gap between processor and memory. As computing power is increasing much faster than memory performance, we suggest that it is time to have a dedicated cache to store data access histories and to serve prefetching to mask data access latency effectively. We thus propose a new cache structure, named Data Access History Cache (DAHC), and study its associated prefetching mechanisms. The DAHC behaves as a cache for recent reference information instead of as a traditional cache for instructions or data. Theoretically, it is capable of supporting many well known history-based prefetching algorithms, especially adaptive and aggressive approaches. We have carried out simulation experiments to validate DAHC design and DAHC-based data prefetching methodologies and to demonstrate performance gains. The DAHC provides a practical approach to reaping data prefetching benefits and its associated prefetching mechanisms are proven more effective than traditional approaches.
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