On-device objective-C application optimization framework for high-performance mobile processors

Garo Bournoutian, A. Orailoglu
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引用次数: 7

Abstract

Smartphones provide applications that are increasingly similar to those of interactive desktop programs, providing rich graphics and animations. To simplify the creation of these interactive applications, mobile operating systems employ highlevel object-oriented programming languages and shared libraries to manipulate the device's peripherals and provide common userinterface frameworks. The presence of dynamic dispatch and polymorphism allows for robust and extensible application coding. Unfortunately, the presence of dynamic dispatch also introduces significant overheads during method calls, which directly impact execution time. Furthermore, since these applications rely heavily on shared libraries and helper routines, the quantity of these method calls is higher than those found in typical desktop-based programs. Optimizing these method calls centrally before consumers download the application onto a given phone is exacerbated due to the large diversity of hardware and operating system versions that the application could run on. This paper proposes a methodology to tailor a given Objective-C application and its associated device-specific shared library codebase using on-device post-compilation code optimization and transformation. In doing so, many polymorphic sites can be resolved statically, improving the overall application performance.
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针对高性能移动处理器的设备上objective-C应用程序优化框架
智能手机提供的应用程序越来越类似于交互式桌面程序,提供丰富的图形和动画。为了简化这些交互式应用程序的创建,移动操作系统使用高级面向对象编程语言和共享库来操作设备的外围设备,并提供公共用户界面框架。动态分派和多态性的存在支持健壮和可扩展的应用程序编码。不幸的是,动态分派的存在还会在方法调用期间引入大量开销,直接影响执行时间。此外,由于这些应用程序严重依赖于共享库和helper例程,因此这些方法调用的数量要高于典型的基于桌面的程序。在用户将应用程序下载到给定的手机之前,集中优化这些方法调用会加剧,因为应用程序可以运行的硬件和操作系统版本存在很大的差异。本文提出了一种方法,使用设备上的编译后代码优化和转换来定制给定的Objective-C应用程序及其相关的特定于设备的共享库代码库。这样,可以静态地解析许多多态站点,从而提高应用程序的整体性能。
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