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GPU Acceleration of the HEVC Decoder Inter Prediction Module

Citation Author(s):
Aleksandar Ilic, Nuno Roma and Leonel Sousa
Submitted by:
Diego Souza
Last updated:
23 February 2016 - 1:44pm
Document Type:
Presentation Slides
Document Year:
2015
Event:
Presenters:
Leonel Sousa
 

The inter prediction decoding is one of the most time consuming modules in modern video decoders, which may significantly limit their real-time capabilities. To circumvent this issue, an efficient acceleration of the HEVC inter prediction decoding module is proposed, by offloading the involved workload to GPU devices. The proposed approach aims at efficiently exploiting the GPU resources by carefully managing the processing within the computational kernels, as well as by optimizing the usage of the complex GPU memory hierarchy. The obtained experimental results show that real-time video decoding is achieved for all tested Ultra HD 4K, WQXGA and Full HD video sequences, even when considering the most demanding encoding parameterizations, delivering average processing times up to 20.39 ms, 9.01 ms and 5.22 ms, respectively.

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