Cache Persistence-Aware Memory Bus Contention Analysis for Multicore Systems

Syed Aftab Rashid, Geoffrey Nelissen, E. Tovar
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引用次数: 9

Abstract

Memory bus contention strongly relates to the number of main memory requests generated by tasks running on different cores of a multicore platform, which, in turn, depends on the content of the cache memories during the execution of those tasks. Recent works have shown that due to cache persistence the memory access demand of multiple jobs of a task may not always be equal to its worst-case memory access demand in isolation. Analysis of the variable memory access demand of tasks due to cache persistence leads to significantly tighter worst-case response time (WCRT) of tasks.In this work, we show how the notion of cache persistence can be extended from single-core to multicore systems. In particular, we focus on analyzing the impact of cache persistence on the memory bus contention suffered by tasks executing on a multi-core platform considering both work conserving and non-work conserving bus arbitration policies. Experimental evaluation shows that cache persistence-aware analyses of bus arbitration policies increase the number of task sets deemed schedulable by up to 70 percentage points in comparison to their respective counterparts that do not account for cache persistence.
基于缓存持久性的多核系统内存总线争用分析
内存总线争用与在多核平台的不同核心上运行的任务生成的主内存请求数量密切相关,而这又依赖于这些任务执行期间缓存内存的内容。最近的研究表明,由于缓存持久性,一个任务的多个作业的内存访问需求可能并不总是等于其孤立的最坏情况下的内存访问需求。分析由于缓存持久性导致的任务可变内存访问需求,可以显著缩短任务的最坏情况响应时间(WCRT)。在这项工作中,我们展示了如何将缓存持久性的概念从单核扩展到多核系统。特别是,我们将重点分析缓存持久性对在多核平台上执行的任务所遭受的内存总线争用的影响,同时考虑工作节约和非工作节约总线仲裁策略。实验评估表明,与不考虑缓存持久性的相应任务集相比,总线仲裁策略的缓存持久性感知分析将被认为可调度的任务集数量增加了多达70个百分点。
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