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Dynamic macroblock wavefront parallelism for parallel video coding

机译:用于并行视频编码的动态宏块波前并行性

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Wavefront parallelism is effective for parallel video encoding thanks to its merits of low latency, no quality loss and high degree of parallelism. In traditional video encoders, macroblock row wavefront (MRW) parallelism was widely adopted. However the performance of MRW is limited by workload unbalance and computing resource unbalance among multiple work threads. This paper proposes a new dynamic macroblock wavefront (DMW) parallelism to alleviate the limitations of MRW. In DMW, the available macroblocks (MBs) are scheduled to work threads MB by MB other than MB row by MB row; and after one MB is encoded by a work thread, the MB on its right (if available) has the highest priority to be scheduled to avoid synchronization delay. Experimental results demonstrate that video encoder with traditional MRW can be accelerated by more than 10% with our proposed DMW. When hyper-threading is used, the advantage of DMW is more prominent. (C) 2015 Elsevier Inc. All rights reserved.
机译:由于波前并行度具有低延迟,无质量损失和高度并行度的优点,因此对并行视频编码有效。在传统的视频编码器中,宏块行波前(MRW)并行性已被广泛采用。但是,MRW的性能受到多个工作线程之间的工作负载不平衡和计算资源不平衡的限制。本文提出了一种新的动态宏块波前(DMW)并行性,以减轻MRW的局限性。在DMW中,可用宏块(MB)被调度为按MB逐个工作线程,而不是逐MB行。在工作线程对一个MB进行编码后,其右侧的MB(如果有)具有最高的优先级,可以进行调度以避免同步延迟。实验结果表明,使用我们提出的DMW,具有传统MRW的视频编码器可以加速10%以上。使用超线程时,DMW的优势更加突出。 (C)2015 Elsevier Inc.保留所有权利。

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