Performance and energy assessment of last-level cache replacement policies

Pierre-Yves Péneau, D. Novo, Florent Bruguier, G. Sassatelli, A. Gamatie
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引用次数: 7

Abstract

The Last-Level Cache (LLC) is a critical component of the memory hierarchy which has a direct impact on performance. Whenever a data requested by a processor core is not found in the cache a transaction to the main memory is initiated, which results in both performance and energy penalties. Decreasing LLC miss rate therefore lowers external memory transactions which is beneficial both power and performance-wise. The cache replacement policy has a direct impact on the miss rate. It is responsible of data eviction of cache lines whenever the cache runs full. Thus, a good policy should evict data that will be re-used in a distant-future, and favour data that are likely to be accessed in the near-future. The most common cache replacement policy is the Least-Recently Used (LRU) strategy. It has been used for years and is cheaper in terms of hardware implementation. However, researchers have shown that LRU is not the most efficient policy from a performance point of view, and is further largely sub-optimal compared to the best theoretical strategy. In this paper, we analyze a number of cache replacement policies that have been proposed over the last decade and carry out evaluations reporting performance and energy.
最后一级缓存替换策略的性能和能量评估
最后一级缓存(Last-Level Cache, LLC)是内存层次结构的关键组件,对性能有直接影响。每当处理器核心请求的数据没有在缓存中找到时,就会启动到主存的事务,这将导致性能和能量损失。因此,减少LLC缺失率降低了外部内存事务,这对功率和性能都是有益的。cache替换策略的设置直接影响未命中率。它负责在缓存满时取出缓存线的数据。因此,一个好的策略应该剔除在不久的将来将被重用的数据,而偏爱在不久的将来可能被访问的数据。最常见的缓存替换策略是最近最少使用(Least-Recently Used, LRU)策略。它已经使用了多年,并且在硬件实现方面更便宜。然而,研究人员已经表明,从性能的角度来看,LRU并不是最有效的策略,而且与最佳理论策略相比,LRU在很大程度上是次优的。在本文中,我们分析了过去十年中提出的一些缓存替换策略,并对性能和能源进行了评估。
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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