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异构多处理平台并行实时编码算法研究
引用本文:袁三男,王孟彬,陶倩昀,张艳秋. 异构多处理平台并行实时编码算法研究[J]. 上海电力学院学报, 2022, 38(2): 158-162
作者姓名:袁三男  王孟彬  陶倩昀  张艳秋
作者单位:上海电力大学 电子与信息工程学院
摘    要:针对以CPU为处理平台的H.265/HEVC串并行编码效率较低的问题,设计了一种基于异构多核CPU+GPU处理平台的并行实时编码算法。按照CPU和GPU互不相同的硬件特性分配任务,降低了时间复杂度,同时使CPU和GPU的协作能力获得了提升,计算资源得到了更加合理的利用。视频编码并行化设计提高了编码效率,高清视频的编码速度最高可达26.31帧/s,实现了高清视频的实时编码。

关 键 词:实时编码  异构多处理平台  并行化设计
收稿时间:2020-02-28

Realtime Parallel Algorithm Study on Heterogeneous Multiprocessing Platform
YUAN Sannan,WANG Mengbin,TAO Qianyun,ZHANG Yanqiu. Realtime Parallel Algorithm Study on Heterogeneous Multiprocessing Platform[J]. Journal of Shanghai University of Electric Power, 2022, 38(2): 158-162
Authors:YUAN Sannan  WANG Mengbin  TAO Qianyun  ZHANG Yanqiu
Affiliation:School of Electronic and Information Engineering, Shanghai University of Electric Power
Abstract:Aiming at the low efficiency of H.265/HEVC serial parallel coding based on CPU,a parallel real-time coding algorithm based on heterogeneous multi-core CPU+GPU processing platform is designed.According to the different hardware characteristics of CPU and GPU,tasks are allocated,which reduces the time complexity,improves the cooperation ability of GPU and CPU,and makes more reasonable use of computing resources.The parallel design of video coding improves the coding efficiency and makes the coding speed of high-definition video up to 26.31 fps,realizing the real-time coding of high-definition video.
Keywords:real time coding  heterogeneous multiprocessing platform  parallel design
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