Title :
Accelerating IEEE 1857 Deblocking Filter on GPU Using CUDA
Author :
Xiaoou Sun ; Ronggang Wang
Author_Institution :
Shenzhen Grad. Sch., Peking Univ., Shenzhen, China
Abstract :
In IEEE 1857/AVS decoder, the deblocking filter is one of the most time consuming tasks and it accounts for nearly 30% of the decoder complexity. Due to data dependence in the process of filtering, it is a big challenge to execute deblocking filter in parallel efficiently. In this paper, a parallel algorithm is proposed, which hides the data dependence by dividing a frame into several 8 × 8 Intersection-blocks. The proposed parallel deblocking filter algorithm is implemented on GPU using CUDA. Experimental results of processing 1920 × 1080 video streams show that the proposed CUDA deblocking filter implementation accelerates traditional CPU implementation by 6~8 times.
Keywords :
audio coding; graphics processing units; parallel algorithms; video coding; CUDA deblocking filter; GPU; IEEE 1857 deblocking filter; compute unified device architecture; graphics processing units; parallel deblocking filter algorithm; Decoding; Filtering; Filtering algorithms; Graphics processing units; Kernel; Streaming media; Video coding; IEEE 1857; AVS; Deblocking filter; parallel processing; CUDA; GPU;
Conference_Titel :
Multimedia Big Data (BigMM), 2015 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-8687-3
DOI :
10.1109/BigMM.2015.86