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首页> 外文期刊>Journal of Parallel and Distributed Computing >High-efficiency parallelism solution for a Multiview High-Efficiency Video Coding decoder
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High-efficiency parallelism solution for a Multiview High-Efficiency Video Coding decoder

机译:用于多视图高效视频编码解码器的高效并行解决方案

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摘要

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. Interview 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.
机译:到目前为止,多视图高效视频编码(MV-HEVC)只能使用中央处理单元(CPU)来对个人计算机(PC)或工作站上执行解压缩。由于MV-HEVC比高效视频编码(HEVC)更复杂,所以减压器需要更高的并行性以实时解压缩。因此,本研究提出了一种基于MV-HEVC的并行方法。根据其他MV-HEVC视图之间的依赖关系来实现面试完整并行性,并且不需要搜索范围以避免帧之间的数据依赖性。基于MV-HEVC中的每个任务的依赖性,提出了一种先进的波前并行处理方法来实现更高的帧内平行度。所提出的方法的并行结构与单指令多数据加速度方法的并行结构兼容。结果表明,该方法可以将MV-HEVC与20个线程实时解压缩2088P视频,三种视图。

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