准确估计缓存相关的抢占延迟

H. S. Negi, T. Mitra, Abhik Roychoudhury
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引用次数: 113

摘要

多任务实时系统通常使用缓存来提高性能。然而,缓存的不可预测的动态行为使得这类系统的可调度性分析变得困难。在评估任务间干扰时,需要考虑缓存的影响。由于不同任务的内存块可以映射到相同的缓存块,因此任务的抢占可能会引入额外的缓存丢失。这些失误带来的时间损失被称为缓存相关抢占延迟(CRPD)。在本文中,我们提供了一种评估CRPD的程序路径分析技术。我们的技术可以对被抢占任务和被抢占任务进行路径分析。此外,我们通过在每个可能的抢占点估计整个缓存的可能状态来提高分析的准确性,而不是单独估计每个缓存块的状态。为了避免产生高空间需求,可以将缓存状态象征性地维护为二进制决策图。实验结果表明,我们获得了严格的CRPD估计。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate estimation of cache-related preemption delay
Multitasked real-time systems often employ caches to boost performance. However the unpredictable dynamic behavior of caches makes schedulability analysis of such systems difficult. In particular, the effect of caches needs to be considered for estimating the inter-task interference. As the memory blocks of different tasks can map to the same cache blocks, preemption of a task may introduce additional cache misses. The time penalty introduced by these misses is called the cache-related preemption delay (CRPD). In this paper, we provide a program path analysis technique to estimate CRPD. Our technique performs path analysis of both the preempted and the preempting tasks. Furthermore, we improve the accuracy of the analysis by estimating the possible states of the entire cache at each possible preemption point rather than estimating the states of each cache block independently. To avoid incurring high space requirements, the cache states can be maintained symbolically as a binary decision diagram. Experimental results indicate that we obtain tight CRPD estimates for realistic benchmarks.
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