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Design of prioritized LRU circuits for cache of multi-core real-time systems.

机译:用于多核实时系统缓存的优先LRU电路设计。

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摘要

With the advancement of technology, multi-cores with shared cache have been used in real-time applications. In such systems, some cores run real-time applications and some cores run other non-critical applications that do not have strict deadline. Due to the sharing of cache by multi-core processors, problems predicting the actual execution time and the execution time of real-time applications have emerged. To address these problems, cache memory with prioritized replacement policy is proposed.;Most of the work is carried out in high-level hardware designs and software based application level designs. No low-level hardware implementations of cache memory with prioritized replacement circuits have been designed to the best of my knowledge. My thesis focuses on designing a LRU replacement circuit that is prioritized based on the application the processor is running. Real-time applications acquire priority in using the cache memory over other applications which enhance the seamless execution of the real-time application and hence supports execution time predictability which in turn helps improve the potential of multi-core computing of real-time systems. The speed, size and power overhead are analyzed by placing the N-way set associative LRU as a part of cache of size 128KB designed using 65nm CMOS technology.
机译:随着技术的进步,具有共享缓存的多核已用于实时应用程序中。在这样的系统中,某些核心运行实时应用程序,而某些核心运行其他没有严格期限的非关键应用程序。由于多核处理器共享缓存,因此出现了预测实际执行时间和实时应用程序执行时间的问题。为了解决这些问题,提出了具有优先替换策略的高速缓存存储器。大多数工作在高级硬件设计和基于软件的应用程序级设计中进行。据我所知,尚未设计出具有优先替换电路的高速缓存存储器的低级硬件实现。我的论文集中在设计LRU替换电路,该电路根据处理器正在运行的应用程序确定优先级。实时应用程序在使用高速缓存存储器方面比其他应用程序具有更高的优先级,这增强了实时应用程序的无缝执行,因此支持执行时间可预测性,进而有助于提高实时系统多核计算的潜力。通过将N路集关联LRU放置为使用65nm CMOS技术设计的128KB大小的高速缓存的一部分,可以分析速度,大小和功耗。

著录项

  • 作者

    Gopalakrishnan, Lavanya.;

  • 作者单位

    Southern Illinois University at Carbondale.;

  • 授予单位 Southern Illinois University at Carbondale.;
  • 学科 Engineering Computer.
  • 学位 M.S.
  • 年度 2011
  • 页码 66 p.
  • 总页数 66
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:45:28

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