实时应用中处理器吞吐量控制的广义模型

2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing Pub Date : 2011-03-28 DOI:10.1109/ISORC.2011.20

D. Lohn, Mathias Pacher, U. Brinkschulte

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引用次数: 8

摘要

在本文中，我们提出了一种控制理论方法来稳定多线程处理器上实时应用程序的线程吞吐量。我们使用一个标量、多线程处理器的统计模型作为传递函数来计算得到的IPC速率。我们的控制理论方法不局限于特定的处理器，可以适应不同的微处理器体系结构。我们能够保证在定义的收敛区间内具有最小的IPC速率。此外，我们的结果提供了一种改进WCET分析的方法，因为使用我们的控制理论方法可以软化处理器模型的不准确性。

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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A Generalized Model to Control the Throughput in a Processor for Real-Time Applications

In this paper we present a control theory approach to stabilize the throughput of threads for real-time applications on a multithreaded processor. We use a statistical model of a super scalar, multi-threaded processor as transfer function to calculate the resulting IPC rate. Our control theory approach is not limited to a specific processor and can be adapted to different microprocessor architectures. We are able to guarantee a minimum IPC rate within a defined convergence interval. Furthermore our results provide a method to improve WCET analysis, because inaccuracies of the processor model are soften by the use of our control theory approach.

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来源期刊

2011 14th IEEE International Symposium on Object/Component/Service-Oriented Real-Time Distributed Computing

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