通过优化交换算法提高鲁棒自适应缓存的性能

L. Agnola, M. Vladutiu, M. Udrescu, L. Prodan
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引用次数: 3

摘要

本文分析了自适应缓存存储器机制(SAM)的性能和开销。SAM是一种优雅的降级方法,用于设置关联缓存内存,它对某些内存位置使用重新映射,从而通过交换表获得性能的提高。我们还讨论了如何通过增加交换位来最小化交换表中的条目,从而实现75%以上的性能提升,而总体面积也减少了35%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving performance of robust Self Adaptive Caches by optimizing the switching algorithm
This paper provides an analysis of the performance and overhead for the Self Adaptive cache Memories mechanism (SAM). SAM is a graceful degradation method applied to set associative cache memories that uses remapping for some memory locations to obtain an increase in performance by means of a switching table. We also discuss how a major increase in performance of over 75% can be achieved, while the overall area also decreases with more than 35%, because of minimizing the entries in the switching table, by adding switching bits.
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