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An Image Processing System Based on Heterogeneous Embedded Multicore Processors

机译:基于异构嵌入式多核处理器的图像处理系统

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Video and Image processing applications are notably time consuming, especially for large number of small image files and huge video files. Cloud computing gives a new processing method for such requirement, but almost all of the cloud computing platforms are based on super computers. In this paper, we propose a new method for one big image file's and large number of small image files' processing based on MapReduce and give a new idea of constructing the cloud computing platform based on heterogeneous embedded multi-core processors. From the experiment results, it can be seen that the proposed method is feasible and after analysis, we find the problems of embedded cloud computing platform based on Hadoop with MapReduce, and conclude the future research direction.
机译:视频和图像处理应用程序非常耗时,特别是对于大量的小图像文件和大视频文件。云计算为这种要求提供了一种新的处理方法,但是几乎所有的云计算平台都基于超级计算机。本文提出了一种基于MapReduce的大图像文件和大量小图像文件处理的新方法,并给出了构建基于异构嵌入式多核处理器的云计算平台的新思路。从实验结果可以看出,该方法是可行的,经过分析,发现了基于MapReduce的基于Hadoop的嵌入式云计算平台存在的问题,并总结了未来的研究方向。

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