多处理器上任意集关联缓存的高效求值

Yuguang Wu, G. Popek, R. Muntz
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引用次数: 1

摘要

针对多处理器上具有任意二幂集结合性的LRU(最近最少使用)缓存的高效堆栈计算问题,提出了一种简单的解决方案。它是单处理器上全关联LRU缓存栈求值技术的扩展。在堆栈中使用特殊的标记项来表示由基于无效的缓存一致性协议删除的数据页(也称为数据块或行)。当访问堆栈中某个标记下面的数据页时,使用标记分离技术。使用这种技术,对内存访问跟踪的一次评估将产生所有缓存大小的命中率,并在通过内存引用跟踪的一次传递中设置多处理器缓存上的关联
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient evaluation of arbitrary set-associative caches on multiprocessors
The authors propose a simple solution to the problem of efficient stack evaluation of LRU (least recently used) cache memories with an arbitrary two's power set-associativity on multiprocessors. It is an extension of stack evaluation techniques for all-associativity LRU cache on a uniprocessor. Special marker entries are used in the stack to represent data pages (also called data blocks or lines) deleted by an invalidation-based cache coherence protocol. A technique of marker-splitting is used when a data page below a marker in the stack is accessed. One-pass evaluation of memory access trace will yield hit ratios for all cache sizes and set associativities on multiprocessor caches in a single pass over a memory reference trace with the use of this technique.<>
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