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Parallelization Design of Irregular Algorithms of Video Processing on GPUs

Huayou Su, Jun Chai, Mei Wen, Ju Ren, Chunyuan Zhang
School of Computer, National University of Defense Technology, Changsha, China
IEEE International Conference on Multimedia and Expo, 2012
@article{su2012parallelization,

   title={Parallelization Design of Irregular Algorithms of Video Processing on GPUs},

   author={Su, H. and Chai, J. and Wen, M. and Ren, J. and Zhang, C.},

   year={2012}

}

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In this paper, we present the parallelization design consideration for irregular algorithms of video processing on GPUs. Enrich parallelism can be exploited by scheduling the processing order or making a tradeoff between performance and parallelism for irregular algorithms (such as CAVLC and deblocking filter). We implement a component-oriented CAVLC encoder and a direction-oriented deblocking filter on GPUs. The experiment results show that, compared with the implementation on CPU, the optimized parallel methods achieve high performance in term of speedup ratio from 63 to 44, relatively for deblocking filter and CAVLC. It shows that the rich parallelism is one of the most important factors to gain high performance for irregular algorithms based on GPUs. In addition, it seems that for some irregular kernels, the number of SM of GPU is more important to the performance than the computation capability.
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