多级非包容缓存的缓存相关抢占延迟分析

Sudipta Chattopadhyay, Abhik Roychoudhury
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引用次数: 8

摘要

随着复杂硬件特性的快速增长,时序分析已成为一个越来越困难的问题。解决这个问题的关键在于对性能增强的处理器特性(例如缓存)进行精确和可扩展的建模。此外,实时系统通常是多任务的,并使用抢占式调度,具有固定或动态的优先级分配。对于这样的系统,缓存相关抢占延迟(CRPD)可能会增加任务的执行时间。因此,CRPD可能会影响整体可调度性分析。现有的工作建议将CRPD的值绑定在单级缓存中。在本文中,我们提出了一个CRPD分析框架,该框架可用于两级非包容性缓存层次结构。此外,我们提出的框架也适用于存在共享缓存的情况。我们首先展示了CRPD分析在多级非包容性缓存层次结构中面临的几个新挑战。我们提出的框架克服了所有这些挑战,我们可以正式证明我们框架的正确性。我们已经进行了几个主题项目的实验,包括一个无人机(UAV)控制器和一个原位空间碎片监测仪器。我们的实验结果表明,我们可以使用我们的框架提供健全和精确的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。
Cache-Related Preemption Delay Analysis for Multilevel Noninclusive Caches
With the rapid growth of complex hardware features, timing analysis has become an increasingly difficult problem. The key to solving this problem lies in the precise and scalable modeling of performance-enhancing processor features (e.g., cache). Moreover, real-time systems are often multitasking and use preemptive scheduling, with fixed or dynamic priority assignment. For such systems, cache related preemption delay (CRPD) may increase the execution time of a task. Therefore, CRPD may affect the overall schedulability analysis. Existing works propose to bound the value of CRPD in a single-level cache. In this article, we propose a CRPD analysis framework that can be used for a two-level, noninclusive cache hierarchy. In addition, our proposed framework is also applicable in the presence of shared caches. We first show that CRPD analysis faces several new challenges in the presence of a multilevel, noninclusive cache hierarchy. Our proposed framework overcomes all such challenges and we can formally prove the correctness of our framework. We have performed experiments with several subject programs, including an unmanned aerial vehicle (UAV) controller and an in-situ space debris monitoring instrument. Our experimental results suggest that we can provide sound and precise CRPD estimates using our framework.
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