重新排序移动应用程序中的功能,以缩小规模并加快启动速度

IF 2.8 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Ellis Hoag, Kyungwoo Lee, Julián Mestre, Sergey Pupyrev, YongKang Zhu
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引用次数: 0

摘要

函数布局又称函数重排或函数放置,是最有效的配置文件指导编译器优化之一。通过对二进制文件中的函数重新排序,编译器可以提高大规模应用程序的性能,或减少移动应用程序的压缩大小。虽然该技术已在大规模二进制文件中得到广泛研究,但还没有研究对移动应用程序的函数布局算法进行深入研究。在本文中,我们首次提出了在移动领域优化函数布局的原则性解决方案。为此,我们确定了两个关键的优化目标:减少压缩代码大小和改善移动应用程序的冷启动时间。然后,我们提出了布局问题的形式模型(其目标与我们的目标非常吻合)和优化布局的新型算法。该方法的灵感来自经典的平衡图分割问题。我们精心设计并在开源编译器 LLVM 中实现了该算法。我们在大型商业移动应用程序上对新方法进行了广泛的评估,结果表明,与最先进的方法相比,新方法在启动时间和压缩大小方面都有所改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reordering Functions in Mobiles Apps for Reduced Size and Faster Start-Up

Function layout, also known as function reordering or function placement, is one of the most effective profile-guided compiler optimizations. By reordering functions in a binary, compilers can improve the performance of large-scale applications or reduce the compressed size of mobile applications. Although the technique has been extensively studied in the context of large-scale binaries, no study has thoroughly investigated function layout algorithms on mobile applications.

In this paper we develop the first principled solution for optimizing function layouts in the mobile space. To this end, we identify two key optimization goals: reducing the compressed code size and improving the cold start-up time of a mobile application. Then we propose a formal model for the layout problem, whose objective closely matches our goals, and a novel algorithm for optimizing the layout. The method is inspired by the classic balanced graph partitioning problem. We have carefully engineered and implemented the algorithm in an open-source compiler, LLVM. An extensive evaluation of the new method on large commercial mobile applications demonstrates improvements in start-up time and compressed size compared to the state-of-the-art approach.

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来源期刊
ACM Transactions on Embedded Computing Systems
ACM Transactions on Embedded Computing Systems 工程技术-计算机:软件工程
CiteScore
3.70
自引率
0.00%
发文量
138
审稿时长
6 months
期刊介绍: The design of embedded computing systems, both the software and hardware, increasingly relies on sophisticated algorithms, analytical models, and methodologies. ACM Transactions on Embedded Computing Systems (TECS) aims to present the leading work relating to the analysis, design, behavior, and experience with embedded computing systems.
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