高技术通讯2026，Vol.36Issue(1)：53-66,14.DOI:10.3772/j.issn.1002-0470.2026.01.005
面向边缘异构算力的高通量视频分析优化研究
High-throughput video processing based on heterogeneous computing nodes
摘要
Abstract
In the era of big data,video accounts for a significant proportion of up to 82％,which is a veritable big data.Consequently,extracting value information from video data quickly and effectively to support video-driven informa-tion service systems is of great value.In order to improve the processing capability of video data,existing video analysis systems usually rely on edge computing processing methods via integrating heterogeneous hardware to im-prove the processing capabilities.However,these approaches often fail to fully utilize the potential of heterogeneous acceleration chips.To address these challenges,this paper proposes a high-throughput video acceleration analysis method for heterogeneous hardware acceleration devices.By employing a decoding optimization strategy and a multi-emission asynchronous execution optimization strategy,this method maximizes the utilization of heterogeneous chip resources.The proposed approach achieved decoding acceleration of 1.49 times and an inference acceleration of 1.44 times on a single chip.Moreover,the optimization strategy ensures linear expansion capability,and can achieve 17.71 times of decoding acceleration and 25.52 times of the inference acceleration on edge heterogeneous platforms with limited computing power.Specifically,these platforms consist of 12 decoding chips and 18 inference chips.Finally,the whole video analysis processing is accelerated by 33.22 times on the limited platform.关键词
高通量计算/视频处理/边缘计算/异构硬件/解码加速/推理加速Key words
high-throughput computing/video processing/edge computing/heterogeneous hardware/deco-ding acceleration/inference acceleration引用本文复制引用
马丽娜,严龙,曹华伟,梁彦,叶笑春,范东睿..面向边缘异构算力的高通量视频分析优化研究[J].高技术通讯,2026,36(1):53-66,14.基金项目
国家重点研发计划(2023YFB4502305)和北京市自然科学基金(4232036)资助项目. （2023YFB4502305）
