Improving performance of robust Self Adaptive Caches by optimizing the switching algorithm

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

Abstract

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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通过优化交换算法提高鲁棒自适应缓存的性能
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。
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