Data prefetching with co-operative caching

Chi-Hung Chi, Siu-Chung Lau
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引用次数: 11

Abstract

Recent research in data cache prefetching is found to be selective in nature: achieving high prediction accuracy over a set of selected references such as array access with constant strides. As a result, for applications where the memory latency is mainly due to data accesses in the set of non selected references of a program, they lose their effectiveness. In fact, their performance might be worse than that of the traditional, less accurate prefetch-on-miss scheme. To overcome this situation, we propose three cooperative cache techniques to assist data prefetching. They are: [1] default prefetching to increase the overall prefetch coverage; [2] block concept to perform variable distance lookahead prefetching; and [3] a spatial data buffer with load balancing to reduce the interference between spatial data and temporal data. To illustrate the potentials of these techniques, they were implemented on top of our previously proposed Instruction Opcode-Based Prefetching (IOBP) scheme (T.F. Chen, 1993). Trace driven simulation on SPEC92 showed that a 8 Kbytes data cache with a 512 bytes spatial buffer can achieve similar performance as a 32 Kbytes data cache through these techniques.
使用协同缓存的数据预取
最近的研究发现,数据缓存预取本质上是选择性的:在一组选定的引用上实现较高的预测精度,例如以恒定的步长访问数组。因此,对于内存延迟主要是由于程序的非选择引用集中的数据访问引起的应用程序来说,它们失去了有效性。事实上,它们的性能可能比传统的不太精确的预取方案更差。为了克服这种情况,我们提出了三种协作缓存技术来辅助数据预取。它们是:[1]默认预取,以增加整体预取覆盖;[2]块概念执行可变距离前瞻预取;以及[3]具有负载平衡的空间数据缓冲区,以减少空间数据和时间数据之间的干扰。为了说明这些技术的潜力,它们是在我们之前提出的基于指令操作码的预取(IOBP)方案(T.F. Chen, 1993)之上实现的。在SPEC92上的跟踪驱动仿真表明,通过这些技术,具有512字节空间缓冲区的8 kb数据缓存可以达到与32 kb数据缓存相似的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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