High-efficiency parallelism solution for a Multiview High-Efficiency Video Coding decoder
Thus far, Multiview High-Efficiency Video Coding (MV-HEVC) can only use a central processing unit (CPU) to perform decompression on a personal computer (PC) or workstation. Because MV-HEVC is much more complex than High-Efficiency Video Coding (HEVC), decompressors need higher parallelism to decompr...
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Published in | Journal of parallel and distributed computing Vol. 141; pp. 115 - 128 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Inc
01.07.2020
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Subjects | |
Online Access | Get full text |
ISSN | 0743-7315 1096-0848 |
DOI | 10.1016/j.jpdc.2020.03.008 |
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Summary: | Thus far, Multiview High-Efficiency Video Coding (MV-HEVC) can only use a central processing unit (CPU) to perform decompression on a personal computer (PC) or workstation. Because MV-HEVC is much more complex than High-Efficiency Video Coding (HEVC), decompressors need higher parallelism to decompress in real time. Therefore, this study presents a parallel method based on MV-HEVC. Inter-view complete parallelism is realized according to the dependent relationship between other MV-HEVC views, and a search range is not required to avoid the data dependence between frames. Based on the dependencies of each task in MV-HEVC, an advanced wavefront parallel processing method is proposed to achieve higher intra-frame parallelism. The parallel structure of the proposed method is compatible with that of the single-instruction multiple-data acceleration method. The results showed that the proposed method can decompress MV-HEVC with 20 threads in real time for 1088p video with three views.
•We presented a parallel method based on Multiview High Efficiency Video Coding. An advanced WPP method is proposed to achieve higher intra-frame parallelism.•The proposed method is compatible with that of the SIMD acceleration method.•The proposed method can achieve real-time decompression of MV-HEVC with three views. |
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ISSN: | 0743-7315 1096-0848 |
DOI: | 10.1016/j.jpdc.2020.03.008 |