Work-in-Progress: A Holistic Approach to WCRT Analysis for Multicore Systems

Jatin Arora, Syed Aftab Rashid, Cláudio Maia, Geoffrey Nelissen, E. Tovar
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Abstract

Commercial-off-the-shelf (COTS) multicore processors have become a preferable choice for modern systems to meet the increasing functionalities and computational demand of modern applications. However, the adoption of multicore platforms in hard real-time systems, i.e., systems that run applications with stringent timing requirements, is still under scrutiny. The main challenge that hinders the use of COTS multicore platforms in hard real-time systems is their unpredictability, which originates from the sharing of different hardware resources. A task executing on one core of a multicore platform has to compete with other co-running tasks (running on other cores) to access hardware resources such as the last-level cache (LLC), the interconnect (e.g., memory bus), and the main memory. This competition leads to inter-core contention which can significantly impact the Worst-Case Execution Time (WCET) and Worst-Case Response Time (WCRT) of tasks.
正在进行的工作:多核系统WCRT分析的整体方法
商用现货(COTS)多核处理器已成为现代系统的首选,以满足现代应用日益增长的功能和计算需求。然而,在硬实时系统(即运行具有严格时间要求的应用程序的系统)中采用多核平台仍在审查之中。阻碍COTS多核平台在硬实时系统中使用的主要挑战是它们的不可预测性,这源于不同硬件资源的共享。在多核平台的一个核心上执行的任务必须与其他协同运行的任务(在其他核心上运行)竞争,以访问硬件资源,如最后一级缓存(LLC)、互连(例如,内存总线)和主内存。这种竞争会导致核心间的竞争,从而显著影响任务的最坏情况执行时间(WCET)和最坏情况响应时间(WCRT)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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