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Performance Analysis of Basic Image Processing Algorithms on GPU

机译:GPU基本图像处理算法的性能分析

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Image processing could be done in CPU or in Graphical Processing Unit (GPU), using sequential programming or parallel programming respectively. Sequential and parallel programming are good in their own paradigm. This paper analyses the performances of various basic image processing algorithms on GPU as well as CPU. Various images with a range of dimensions have been used for the testing purpose. The results show that the usability of the GPU for image processing problems is highly depends on the nature of the problem and also on the size of the problem domain.
机译:图像处理可以在CPU或图形处理单元(GPU)中完成,使用顺序编程或并行编程。顺序和并行编程在自己的范式中很好。本文分析了GPU各种基本图像处理算法的性能以及CPU。具有范围尺寸范围的各种图像已用于测试目的。结果表明,图像处理问题的GPU的可用性高度取决于问题的性质以及问题域的大小。

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