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A dynamic cache reconfiguration platform for soft real-time systems

机译:用于软实时系统的动态缓存重新配置平台

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Dynamic Cache Reconfiguration (DCR) significantly improves performance and energy consumption. However, implementing this technique in real-time systems is non-trivial, because it introduces unpredictability to the system. The few DCR approaches for soft real-time systems that have been proposed rely on offline preprocessing and exhaustive simulation. In this paper, a dynamic cache reconfiguration platform for soft real-time systems is proposed. Our platform enables the design of DCR algorithms in a soft real-time simulation environment and obtains statistics in terms of performance, energy consumption and real-time accuracy. We also developed two fully online DCR heuristics for soft real-time systems, which do not rely on any offline processing or simulation. Our results show that our heuristics significantly improve the energy consumption and performance of the cache while keeping a minor impact on timing constraints for most of our test applications.
机译:动态缓存重新配置(DCR)显着提高性能和能耗。但是,在实时系统中实现该技术是非微不足道的,因为它向系统引入了不可预测性。已经提出了依靠离线预处理和详尽仿真的软实时系统的少数DCR方法。本文提出了一种用于软实时系统的动态缓存重新配置平台。我们的平台使DCR算法设计在软实时仿真环境中,并在性能,能耗和实时精度方面获得统计数据。我们还开发了两个完全在线DCR启发式软件实时系统,不依赖于任何离线处理或仿真。我们的研究结果表明,我们的启发式显着提高了缓存的能量消耗和性能,同时对大多数测试应用程序对时序约束进行了轻微影响。

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