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Implementation and improvement of Wavefront Parallel Processing for HEVC encoding on many-core platform

机译:多核平台上用于HEVC编码的Wavefront并行处理的实现和改进

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摘要

In this paper, Wavefront Parallel Processing (WPP) is implemented effectively for real-time HEVC encoder on many-core platform, where ping-pang storage, data reuse and try-and-wait mechanism are designed to optimize data storage and communication among cores. Parallel scalability of WPP is analyzed and a mathematic model of WPP is presented. In addition, three effective approaches are presented to improve the parallel scalability of WPP. Experimental results show that the model is valuable and the proposed methods improve more than 40% maximum parallel scalability.
机译:本文针对多核平台上的实时HEVC编码器有效地实现了波前并行处理(WPP),该平台设计了乒乓存储,数据重用和尝试等待机制来优化数据存储和核之间的通信。分析了WPP的并行可扩展性,并提出了WPP的数学模型。此外,提出了三种有效的方法来提高WPP的并行可伸缩性。实验结果表明该模型是有价值的,所提出的方法将最大并行可扩展性提高了40%以上。

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