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面向高效能计算的虚拟化技术研究综述
引用本文:陈小军,张璟.面向高效能计算的虚拟化技术研究综述[J].系统仿真学报,2012,24(4):741-747.
作者姓名:陈小军  张璟
作者单位:西安理工大学计算机科学与工程学院,西安,710048
基金项目:国家863计划重点项目(2007AA010305);西安理工大学优秀博士论文研究基金项目(102-211007)
摘    要:首先介绍了未来高效能计算的需求来源—大型复杂CAE的研究现状,指出高效能计算作为大型复杂CAE问题求解的重要工具和实现途径,对工业制造领域产品创新的研究和设计水平的提高具有重要意义;其次,阐述了高效能计算的研究现状、存在问题和发展趋势,指出了在高效能计算中应用虚拟化技术的必要性;再次,对虚拟化技术及面向高效能计算的虚拟化技术的研究现状进行了分析,指出了虚拟化技术在面向大型复杂CAE的高效能计算、特别是在虚拟制造领域中的应用框架和应用前景。最后,提出了本领域研究的不足及未来的研究工作。

关 键 词:高效能计算  计算机辅助工程  虚拟化  虚拟机  应用框架

Overview of Study on Virtualization Technology Oriented High Productive Computing
CHEN Xiao-Jun,ZHANG.Overview of Study on Virtualization Technology Oriented High Productive Computing[J].Journal of System Simulation,2012,24(4):741-747.
Authors:CHEN Xiao-Jun  ZHANG
Institution:Jing(School of Computer Science and Engineering,Xi’an University of Technology,Xi’an 710048,China)
Abstract:The present situation of CAE with large and complex scale,main source of requirement from high productive computing in future,was introduced firstly with the viewpoint that high productive computing,an importance tool and realization to large and complex CAE problem solving,has an importance significance to improve the research and design level of product innovation in industrial manufacturing area;secondly,the research situation,existed problems and development trend of high productive computing were proposed,and then it was pointed out that it was necessary that the virtualization technology was applied to high productive computing;thirdly,the research situation of virtualization technology and the virtualization technology oriented high productive computing were analyzed,and then the applied framework and prospect that virtualization technology took to high productive computing oriented large and complex CAE problem solving,particularly in the field of virtual manufacturing were proposed.Finally,the shortcomings of this field were pointed out and the future works that should be done were proposed.
Keywords:High Productive Computing  CAE  virtualization  virtual machine  applied framework
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