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Design and Optimization of Image Processing Algorithms on Mobile GPU

Nitin Singhal, Jin Woo Yoo, Ho Yeol Choi, In Kyu Park
Samsung Electronics Co. Ltd., Suwon 443-742, Korea
ACM SIGGRAPH 2011 (SIGGRAPH ’11) Posters, 2011

@inproceedings{singhal2011design,

   title={Design and optimization of image processing algorithms on mobile GPU},

   author={Singhal, N. and Yoo, J.W. and Choi, H.Y. and Park, I.K.},

   booktitle={ACM SIGGRAPH 2011 Posters},

   pages={21},

   year={2011},

   organization={ACM}

}

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The advent of GPUs with programmable shaders on mobile phones has motivated developers to utilize GPU to offload computationally intensive tasks and relive the burden of embedded CPU. In this paper, we present a set of metrics to measure characteristics of a mobile phone GPU with the focus on image processing algorithms. These measures assist users in design and implementation stage and in classifying bottlenecks. We propose techniques to achieve increased performance with optimized shader design. To show the effectiveness of the proposed techniques, we employ cartoon-style non-photorealistic rendering (NPR), belief propagation (BP) stereo matching [Yang et al. 2006], and speeded up robust features (SURF) detection [Bay et al. 2008] as our example algorithms.
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