提高最坏情况下性能的多核感知代码定位

Yiqiang Ding, Wei Zhang
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引用次数: 3

摘要

共享缓存中的线程间干扰会显著影响多核芯片上实时任务的最坏情况执行时间(WCET)。在本文中,我们研究了三种多核感知代码定位方法,以减少共同运行的实时线程之间的核间L2缓存干扰。一种策略侧重于减少共运行线程之间最长的WCET,另外两种方法的目标是在共运行线程之间WCET减少的数量或百分比方面实现公平性。我们的实验表明,所提出的多核感知代码定位方法不仅提高了实时线程的最坏情况性能,而且在多核平台上运行的线程的效率和公平性之间进行了权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multicore-Aware Code Positioning to Improve Worst-Case Performance
Inter-thread interferences in shared caches can significantly affect the worst-case execution time (WCET) of real-time tasks running on multi-core chips. In this paper, we study three multicore-aware code positioning methods to reduce the inter-core L2 cache interferences between co-running real-time threads. One strategy focuses on decreasing the longest WCET among the co-running threads, and two other methods aim at achieving fairness in terms of the amount or percentage of WCET reduction among co-running threads. Our experiments indicate that the proposed multicore-aware code positioning approaches not only improve the worst-case performance of the real-time threads, but also make tradeoffs between efficiency and fairness for threads running on multi-core platforms.
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