期刊文献+

MoM-PO/SBR Algorithm Based on Collaborative Platform and Mixed Model

下载PDF
导出
摘要 For electromagnetic scattering of 3?D complex electrically large conducting targets,a new hybrid algorithm,MoM?PO/SBR algorithm,is presented to realize the interaction of information between method of moment(MoM)and physical optics(PO)/shooting and bouncing ray(SBR).In the algorithm,the COC file that based on the Huygens equivalent principle is introduced,and the conversion interface between the equivalent surface and the target is established.And then,the multi?task flow model presented in this paper is adopted to conduct CPU/graphics processing unit(GPU)tests of the algorithm under three modes,i.e.,MPI/OpenMP,MPI/compute unified device architecture(CUDA)and multi?task programming model(MTPM).Numerical results are presented and compared with reference solutions in order to illustrate the accuracy and the efficiency of the proposed algorithm. For electromagnetic scattering of 3-D complex electrically large conducting targets,a new hybrid algorithm,Mo M-PO/SBR algorithm,is presented to realize the interaction of information between method of moment(Mo M)and physical optics(PO)/shooting and bouncing ray(SBR). In the algorithm,the COC file that based on the Huygens equivalent principle is introduced,and the conversion interface between the equivalent surface and the target is established. And then,the multi-task flow model presented in this paper is adopted to conduct CPU/graphics processing unit(GPU)tests of the algorithm under three modes,i.e.,MPI/Open MP,MPI/compute unified device architecture(CUDA) and multi-task programming model(MTPM). Numerical results are presented and compared with reference solutions in order to illustrate the accuracy and the efficiency of the proposed algorithm.
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI CSCD 2019年第4期589-598,共10页 南京航空航天大学学报(英文版)
  • 相关文献

参考文献1

二级参考文献14

  • 1刘晓敏.“北斗”导航应用产业近年发展现状[J].国际太空,2014(4):15-17. 被引量:7
  • 2金海.漫谈云计算[J].中国计算机学会通讯,2009,5(6):22-25.
  • 3孙俊平,刘扬.基于快速独立分量分析的多分辨率遥感图像融合算法[J].中国电子科学研究院学报,2007,2(3):228-233. 被引量:6
  • 4北京空间科技信息研究所.国外航天发展年度报告[M].2015.
  • 5TholnasErl.SOA概念、技术与设计[M].机械工业出版社,2007.
  • 6Francesca Bovolo, Lorenzo Bruzzone, et al. Introduction to the Special Issue on Analysis of Multi-temporal Remote Sensing Data [ J ]. IEEE Trans. Geoscience and Remote Sensing, 2013, 51(4):1867-1869.
  • 7Bioucas-Dias J M, Plaza A, et al. Hyper spectral remote sensing data analysis and future challenges [J].IEEE Geo- science and Remote Sensing Magazine, 2013,1 (2) :6-36.
  • 8Zhigang Li, Tian Liang, and Wunian Yang. Research on Service-Oriented Geospatial Information Sharing Mecha- nism and Technical Architecture [ J ]. Advances in MSEC,2011, 2(129) :431-436.
  • 9Jayavardhana Gubbi, Rajkumar Buyyab, et al. Internet of Things (loT) : A vision, architectural elements, and fu-ture directions [ J ]. Future Generation Computer Sys- tems, 2013(29) : 1645-1660.
  • 10陈康,郑纬民.云计算:系统实例与研究现状[J].软件学报,2009,20(5):1337-1348. 被引量:1310

共引文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部