[1]刘民,朱兴国,刘姜玲,等.目标电磁特性协同仿真计算平台构建技术研究[J].计算机技术与发展,2015,25(07):184-188.
　LIU Min,ZHU Xing-guo,LIU Jiang-ling,et al. Research on Construction Technique of Computing Platform of Collaborative Simulation for Electromagnetic Characteristics Target[J].,2015,25(07):184-188.
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目标电磁特性协同仿真计算平台构建技术研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年07期
页码:
184-188
栏目:
应用开发研究
出版日期:
2015-07-10

文章信息/Info

Title:
 Research on Construction Technique of Computing Platform of Collaborative Simulation for Electromagnetic Characteristics Target
文章编号:
1673-629X（2015)07-0184-05
作者:
 刘民; 朱兴国; 刘姜玲; 黄飞龙
 中国电子科技集团公司电子科学研究院
Author(s):
 LIU Min; ZHU Xing-guo; LIU Jiang-ling ; HUANG Fei-long
关键词:
 ; 目标特性; 电磁计算; 协同仿真; 计算平台
Keywords:
 ; characteristics of target; electromagnetic computing; collaborative simulation; computing platform
分类号:
TP31
文献标志码:
A
摘要:
 为解决具有复杂结构超电大尺寸目标电磁特征计算的瓶颈，提出了电磁网格计算的思想以及电磁计算网格的技术内涵、体系结构和设计方案。通过融合各种电磁算法，利用下一代先进互联网和协同计算技术将高校和研究院所的大量不同类型和用途的计算资源、模型资源、算法资源和网络资源进行无缝连接、资源聚合以及计算任务的分发、调度与管理，构建电磁协同仿真计算平台，形成分布式电磁计算网络和云计算服务体系，通过多个计算节点的协同工作来完成仿真计算任务，实现广域分布资源的协同工作。该平台具有可扩展性、高可用性、高计算效率、有效调度以及强大的计算能力。最后，给出结论和下一步的工作展望。
Abstract:
 In order to solve the bottleneck of computation of an electrically large target electromagnetic characteristics with complex struc-ture,put forward the connotation of electromagnetic grid computing and electromagnetic computing grid architecture and design. Through the integration of various electromagnetic algorithm,using the next generation advanced Internet and collaborative computing technology for seamless connectivity,resource aggregation and computation task distribution,scheduling and management to a number of different types and use of computing resources,model resources,algorithm resource and cyber resource from universities and research institutes, build collaborative simulation computing platform of electromagnetic, forming the distributed electromagnetic computing networks and cloud computing service system,through a number of collaborative computing nodes to complete the simulation calculation tasks and a-chieve collaborative work of wide area distribution of resources. The platform has the scalability,high availability,high computational ef-ficiency,effective scheduling and powerful computation ability. Finally,the conclusion and the prospects for the next step of work are giv-en.

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更新日期/Last Update: 2015-09-08