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FIFO cache analysis for WCET estimation: A quantitative approach

机译:用于WCET估计的FIFO缓存分析:一种定量方法

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Although most previous work in cache analysis for WCET estimation assumes the LRU replacement policy, in practise more processors use simpler non-LRU policies for lower cost, power consumption and thermal output. This paper focuses on the analysis of FIFO, one of the most widely used cache replacement policies. Previous analysis techniques for FIFO caches are based on the same framework as for LRU caches using qualitative always-hit/always-miss classifications. This approach, though works well for LRU caches, is not suitable to analyze FIFO and usually leads to poor WCET estimation quality. In this paper, we propose a quantitative approach for FIFO cache analysis. Roughly speaking, the proposed quantitative analysis derives an upper bound on the “miss ratio” of an instruction (set), which can better capture the FIFO cache behavior and support more accurate WCET estimations. Experiments with benchmarks show that our proposed quantitative FIFO analysis can drastically improve the WCET estimation accuracy over pervious techniques (the average overestimation ratio is reduced from around 70% to 10% under typical setting).
机译:尽管以前用于WCET估计的缓存分析中的大多数工作都采用LRU替换策略,但实际上,更多的处理器使用更简单的非LRU策略来降低成本,功耗和热量输出。本文着重分析FIFO,这是最广泛使用的缓存替换策略之一。 FIFO缓存的先前分析技术基于与LRU缓存相同的框架,使用定性总命中/始终丢失分类。这种方法尽管对LRU缓存非常有效,但不适合分析FIFO,通常会导致WCET估计质量较差。在本文中,我们提出了一种用于FIFO缓存分析的定量方法。粗略地说,提出的定量分析得出了指令(集合)的“未命中率”的上限,可以更好地捕获FIFO缓存行为并支持更准确的WCET估计。具有基准的实验表明,我们提出的定量FIFO分析可以大大提高WCET估计的准确性,而不是采用以往的技术(在典型设置下,平均高估率从70%降低到10%)。

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