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一种分层并行的无线电引信回波仿真计算方法.

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Τίτλος: 一种分层并行的无线电引信回波仿真计算方法. (Chinese)
Alternate Title: A Hierarchical Parallel Computation Method for Radio Fuze Echo Signal Simulation. (English)
Συγγραφείς: 陈潭辉, 霍力君, 李喆
Πηγή: Aero Weaponry; Jun2025, Vol. 32 Issue 3, p102-107, 6p
Θεματικοί όροι: Parallel programming, Process capability, Electronic data processing, Distributed computing, Signal processing
Abstract (English): In order to improve the efficiency of radio fuze echo signal simulation processing large-scale data, a layered parallel computing method based on a distributed platform is proposed, and a radio fuze simulation platform with efficient data processing capabilities is designed. The platform adopts a three-layer parallel computing method to achieve task level distributed node parallel computing, thread level multi-core CPU parallel computing using multi threading technology and data level GPU parallel computing using CUDA technology. At the same time, corresponding load balancing strategies are designed to effectively improve the utilization efficiency of computing resources in the distributed simulation platform. Simulation calculations show that compared with traditional single machine serial computing methods, this computing method has a parallel acceleration ration of 6.8~7.2 times, which can effectively shorten simulation time and has better scalability. [ABSTRACT FROM AUTHOR]
Abstract (Chinese): 为提高无线电引信回波仿真处理大规模数据的效率, 提出一种基于分布式平台的分层并行计算方法, 设计了一种有高效数据处理能力的无线电引信仿真平台。该平台采用了三层并行计算方法, 任务级实现了分布式节点并行计算, 线程级实现了多核 CPU 多线程并行计算、数据级采用 CUDA 技术实现了GPU 并行计算, 同时设计相应的负载均衡策略, 有效提高了分布式仿真平台的计算资源利用效率。通过仿真计算表明, 与传统单机串行计算方法相比, 该计算方法的并行加速比可达到 6. 8 ~ 7. 2 倍, 可有效缩短仿真时间, 并且具有更好的可拓展性。 [ABSTRACT FROM AUTHOR]
Copyright of Aero Weaponry is the property of Aero Weaponry Editorial Office and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Βάση Δεδομένων: Complementary Index
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  Label: Title
  Group: Ti
  Data: 一种分层并行的无线电引信回波仿真计算方法. (Chinese)
– Name: TitleAlt
  Label: Alternate Title
  Group: TiAlt
  Data: A Hierarchical Parallel Computation Method for Radio Fuze Echo Signal Simulation. (English)
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22陈潭辉%22">陈潭辉</searchLink><br /><searchLink fieldCode="AR" term="%22霍力君%22">霍力君</searchLink><br /><searchLink fieldCode="AR" term="%22李喆%22">李喆</searchLink>
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  Data: Aero Weaponry; Jun2025, Vol. 32 Issue 3, p102-107, 6p
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Parallel+programming%22">Parallel programming</searchLink><br /><searchLink fieldCode="DE" term="%22Process+capability%22">Process capability</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br /><searchLink fieldCode="DE" term="%22Signal+processing%22">Signal processing</searchLink>
– Name: AbstractNonEng
  Label: Abstract (English)
  Group: Ab
  Data: In order to improve the efficiency of radio fuze echo signal simulation processing large-scale data, a layered parallel computing method based on a distributed platform is proposed, and a radio fuze simulation platform with efficient data processing capabilities is designed. The platform adopts a three-layer parallel computing method to achieve task level distributed node parallel computing, thread level multi-core CPU parallel computing using multi threading technology and data level GPU parallel computing using CUDA technology. At the same time, corresponding load balancing strategies are designed to effectively improve the utilization efficiency of computing resources in the distributed simulation platform. Simulation calculations show that compared with traditional single machine serial computing methods, this computing method has a parallel acceleration ration of 6.8~7.2 times, which can effectively shorten simulation time and has better scalability. [ABSTRACT FROM AUTHOR]
– Name: AbstractNonEng
  Label: Abstract (Chinese)
  Group: Ab
  Data: 为提高无线电引信回波仿真处理大规模数据的效率, 提出一种基于分布式平台的分层并行计算方法, 设计了一种有高效数据处理能力的无线电引信仿真平台。该平台采用了三层并行计算方法, 任务级实现了分布式节点并行计算, 线程级实现了多核 CPU 多线程并行计算、数据级采用 CUDA 技术实现了GPU 并行计算, 同时设计相应的负载均衡策略, 有效提高了分布式仿真平台的计算资源利用效率。通过仿真计算表明, 与传统单机串行计算方法相比, 该计算方法的并行加速比可达到 6. 8 ~ 7. 2 倍, 可有效缩短仿真时间, 并且具有更好的可拓展性。 [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Aero Weaponry is the property of Aero Weaponry Editorial Office and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.12132/ISSN.1673-5048.2025.0014
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      – Code: chi
        Text: Chinese
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      Pagination:
        PageCount: 6
        StartPage: 102
    Subjects:
      – SubjectFull: Parallel programming
        Type: general
      – SubjectFull: Process capability
        Type: general
      – SubjectFull: Electronic data processing
        Type: general
      – SubjectFull: Distributed computing
        Type: general
      – SubjectFull: Signal processing
        Type: general
    Titles:
      – TitleFull: 一种分层并行的无线电引信回波仿真计算方法.
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            NameFull: 陈潭辉
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            NameFull: 霍力君
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            NameFull: 李喆
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            – D: 01
              M: 06
              Text: Jun2025
              Type: published
              Y: 2025
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