不同编译器优化水平下的嵌入式软件性能评估

P. Ruberg, Keijo Lass, Elvar Liiv, P. Ellervee
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引用次数: 2

摘要

基于指令集模拟器(ISS)的性能评估工具大多可用,并显示出良好的效果。然而,当需要在没有ISS的情况下选择不同的平台或评估性能时,开发人员需要所有不同的软件套件和设备,并且还必须能够使用它们。在这种情况下,我们提出了一种基于物理测量的估计方法来生成性能模型。本文扩展了我们以前在微控制器源代码级性能估计方面的工作。我们比较了两种提出的估计方法,以找到最适合在编译器优化水平高于- 0的微控制器上估计C源代码级嵌入式软件性能的方法。结果表明,除了一些例外,这两种方法都可以应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Embedded software performance estimations at different compiler optimisation levels
Tools for performance estimation based on instruction set simulators (ISS) are mostly available and show good results. However when the need arises to choose a different platform or to estimate performance without having the ISS the developer needs all the different software suits and devices and also must be able to work with them. In this case we propose an estimation method based on physical measurement for generating performance models. This paper extends our previous work on source-code level performance estimations for microcontrollers. We compare two proposed estimation methods to find the most suitable for estimating embedded software performance for C source-code level on microcontrollers with higher compiler optimisation levels than −O0. As a result we show that both methods could be applied with some exceptions.
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