Parallel Extraction of Marine Targets Applying OIDA Architecture|LIU Lin;LI Wanwu;ZHANG Jixian;SUN Yi;CUI Yumeng|National Quality Inspection and Testing Center for Surveying and Mapping Products,Beijing 100830,China - 期刊导航|首站-论文投稿智能助手|论文发表|论文智能投稿|期刊自助发表推荐|杂志社快速发表|查同导刊-域田数据官方网站

典型文献

Parallel Extraction of Marine Targets Applying OIDA Architecture

文献摘要：

Computing resources are one of the key factors restricting the extraction of marine targets by using deep learning.In order to increase computing speed and shorten the computing time,parallel distributed architecture is adopted to extract marine targets.The advantages of two distributed architectures,Parameter Server and Ring-allreduce architecture,are combined to design a parallel dis-tributed architecture suitable for deep learning-Optimal Interleaved Distributed Architecture(OIDA).Three marine target extraction methods including OTD_StErf,OTD_Loglogistic and OTD_Sgmloglog are used to test OIDA,and a total of 18 experiments in 3 categories are carried out.The results show that OIDA architecture can meet the timeliness requirements of marine target extraction.The average speed of target parallel extraction with single-machine 8-core CPU is 5.75 times faster than that of single-machine sin-gle-core CPU,and the average speed with 5-machine 40-core CPU is 20.75 times faster.

文献关键词：

中图分类号：

[1] 医药、卫生（R） / 基础医学（R3） / 病理学（R36） / 病理过程（R364）

[2] 自动化技术、计算机技术（TP） / 计算技术、计算机技术（TP3） / 计算机的应用（TP39） / 信息处理(信息加工)（TP391）

[3] 医药、卫生（R） / 药学（R9） / 药理学（R96） / 实验药理学（R965）

作者姓名：

LIU Lin;LI Wanwu;ZHANG Jixian;SUN Yi;CUI Yumeng

作者机构：

College of Geodesy and Geomatic,Shandong University of Science and Technology,Qingdao 266590,China;National Quality Inspection and Testing Center for Surveying and Mapping Products,Beijing 100830,China

文献出处：

中国海洋大学学报（自然科学英文版）

引用格式：

[1]LIU Lin;LI Wanwu;ZHANG Jixian;SUN Yi;CUI Yumeng-.Parallel Extraction of Marine Targets Applying OIDA Architecture)[J].中国海洋大学学报（自然科学英文版）,2022(03):737-747

A类：

OIDA,allreduce,StErf,Loglogistic,Sgmloglog

B类：

Parallel,Extraction,Marine,Targets,Applying,Architecture,Computing,resources,are,one,key,factors,restricting,extraction,marine,targets,by,using,deep,learning,order,increase,computing,speed,shorten,parallel,distributed,adopted,advantages,two,architectures,Parameter,Server,Ring,combined,design,suitable,Optimal,Interleaved,Distributed,Three,methods,including,OTD,used,test,total,experiments,categories,carried,out,results,show,that,can,meet,timeliness,requirements,average,single,machine,core,CPU,times,faster,than

AB值：

0.465439

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