多媒体基准测试硬件预取技术的比较

D. Zucker, M. Flynn, R. Lee
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引用次数: 56

摘要

数据预取是一种众所周知的提高缓存性能的技术。虽然有几项研究检查了科学和商业应用的预取策略,但没有发表的工作研究了多媒体应用的特殊内存需求。本文介绍了三种硬件预取方案的数据:流缓冲区,步长预测表,以及两者的混合组合,流缓存。使用步长预测表可以消除高达90%的丢失,否则在没有预取硬件的中等或大型缓存中会产生丢失。本文首次提出的流缓存,通过添加相对少量的额外硬件,有可能将执行时间缩短一半。
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A comparison of hardware prefetching techniques for multimedia benchmarks
Data prefetching is a well known technique for improving cache performance. While several studies have examined prefetch strategies for scientific and commercial applications, no published work has studied the special memory requirements of multimedia applications. This paper presents data for three types of hardware prefetching schemes: stream buffers, stride prediction tables, and a hybrid combination of the two, the stream cache. Use of the stride prediction table is shown to eliminate up to 90% of the misses that would otherwise be incurred in a moderate or large sized cache with no prefetching hardware. The stream cache, proposed for the first time in this paper, has the potential to cut execution times by half with the addition of a relatively small amount of additional hardware.
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