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Enhancing the performance of android applications on multi-core processors by selecting parallel configurations for source codes

机译:通过选择源代码的并行配置来提高多核处理器上android应用程序的性能

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Paralleling source code is the most common approach to optimize the performance of Android applications on multi-core processors. However, the problem of selecting a good parallel structure and its parameter tube is still a challenge. This paper proposes the performance optimization method based on selecting the best parallel configuration including the parallel structure and corresponding parameter tube. Native C/C++ code of an Android application is analyzed to find parallel structures using OpenMP framework and parameter tubes of each parallel structure. The evaluation function is built to evaluate the performance of an Android application under parallel configuration. This function is implemented in an optimization program to select the best parallel configuration of the Android application.
机译:并行处理源代码是在多核处理器上优化Android应用程序性能的最常用方法。然而,选择良好的平行结构及其参数管的问题仍然是一个挑战。本文提出了一种基于最佳并行配置的性能优化方法,包括并行结构和相应的参数管。使用OpenMP框架和每个并行结构的参数管,分析了Android应用程序的本机C / C ++代码以查找并行结构。建立评估功能是为了评估并行配置下的Android应用程序的性能。此功能在优化程序中实现,以选择Android应用程序的最佳并行配置。

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