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Civil-Comp Proceedings
ISSN 1759-3433 CCP: 111
PROCEEDINGS OF THE FIFTH INTERNATIONAL CONFERENCE ON PARALLEL, DISTRIBUTED, GRID AND CLOUD COMPUTING FOR ENGINEERING Edited by: P. Iványi, B.H.V. Topping and G. Várady
Paper 42
Hybrid Computing for Intra Prediction in HEVC V.Galiano, V.Herranz, H.Migallón, O. López-Granado, P. Pi˜nol and M. P. Malumbres
Miguel Hernóndez University, Elche, Spain Full Bibliographic Reference for this paper
V. Galiano, V. Herranz, H. Migallon, O. Lopez-Granado, P. Piñol, M.P. Malumbres, "Hybrid Computing for Intra Prediction in HEVC
", in P. Iványi, B.H.V. Topping, G. Várady, (Editors), "Proceedings of the
Fifth International Conference
on
Parallel, Distributed, Grid and Cloud Computing
for Engineering", Civil-Comp Press, Stirlingshire, UK, Paper 42, 2017. doi:10.4203/ccp.111.42
Keywords: parallel algorithm, video coding, HEVC, GPU, intra-prediction.
Summary
The HEVC video coding standard designed by the Joint Collaborative Team on Video
Coding requires nearly 70% more time than the previous standard H.264/AVC to encode
a video sequence, because it is computationally more complex than its predecessor.
We can take advantage of many-core architectures to reduce the total coding
time, and thus, in this paper, we propose the use of an hybrid architecture where intensive
computing of intra-picture prediction is performed in GPUs. We have analyzed
the sequential intra prediction algorithm in HEVC and we propose a parallel architecture
where the sequential thread can be highly parallelized in order to reduce the total
coding time.
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