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The Study of Android Parallel Programming Based on the Dual-Core Cortex-A9

机译:基于双核Cortex-A9的Android并行编程研究

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This study is based on the Samsung Exynos 4210 dual-core Cortex-A9 and Android 4.2.1. The performances of the APPs are improved by tuning CPUs' resources allocation and adding parallelism using the OpenMP compiler directives. The Cgroup and Cpuset are used in this paper to manage the CPUs' resources allocation. Besides, the Android's Native Development Kit is modified to support the Android Apps with OpenMP library in this paper. The study takes the Canny edge detection of the OpenCV as an example. The result shows that the processing time of the one picture can be improved from 939ms to 671ms with 28.5% enhancement.
机译:这项研究基于Samsung Exynos 4210双核Cortex-A9和Android 4.2.1。通过调整CPU的资源分配并使用OpenMP编译器指令添加并行性,可以提高APP的性能。本文使用Cgroup和Cpuset来管理CPU的资源分配。此外,本文对Android的本机开发工具包进行了修改,以支持带有OpenMP库的Android应用程序。本研究以OpenCV的Canny边缘检测为例。结果表明,一张图片的处理时间可以从939ms缩短到671ms,提高了28.5%。

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