期刊文献+

高性能计算及其相关新兴技术 被引量:14

High performance computing and related new technologies
下载PDF
导出
摘要 回顾高性能计算的发展历史,评述网格计算、云计算及其与高性能计算之间的关系,阐释新兴技术大数据和物联网,比较大数据、云计算与高性能计算的性能并分析其彼此间的关系.介绍代表国际高性能计算领域发展趋势的普适高性能计算以及作者在普及型高性能计算机研制方面的最新进展.指出高性能计算存在的一些难题,以及研制千万亿次以上的高性能计算机所面临的挑战. High performance computing ( HPC) has been an important force in the evolution of computing since its early stages. Various emerging technologies, such as grid computing, utility computing, service computing and cloud computing, have evolved from HPC. Firstly, we briefly review the history of HPC, compare and discusse the relationship among grid computing, cloud computing and high performance computing. Subsequently, we introduce big data and the Internet of things as two emerging technologies; the relationship and comparison among big data, cloud computing and high performance computing; and the concept of Ubiquitous high performance computing. Finally, we summarize the development of popular high performance computer, and present several challenging issues in HPC and the development of peta-flops high performance computers.
出处 《深圳大学学报(理工版)》 EI CAS CSCD 北大核心 2015年第1期25-31,共7页 Journal of Shenzhen University(Science and Engineering)
基金 国家自然科学基金委-广东联合项目(U1301252 61170076) 深圳市基础研究项目(JCYJ20140418095735561)~~
关键词 计算机工程 高性能计算 网格计算 云计算 大数据 物联网 computer engineering high performance computing grid computing cloud computing big data internet of things
  • 相关文献

参考文献18

  • 1陈国良.并行计算[M].3版.北京:高等教育出版社,2011.
  • 2陈国良,孙广中,徐云,龙柏.并行计算的一体化研究现状与发展趋势[J].科学通报,2009,54(8):1043-1049. 被引量:96
  • 3Federal Coordinating Council for Science, Engineering, and Technology.Grand challenges:high performance computing and communication[EB/OL].[2014-12-09].Washington D C:Computer and Information Science and Engineering.http://www.nitrd.gov/pubs/bluebooks/1992/pdf/bluebook92.pdf.
  • 4U.S. Department of Energy Defense Programs, Lawrence Livemore National Laboratory, Los Alamos National Laboratory, et al.Accelerated strategic computing initiative[EB/OL].[1996-09-01].https://asc.llnl.gov/alliances/alliances_archive/pdf/asci-plan.pdf.
  • 5Graybill R.High productivity computing systems[EB/OL]. [2003-03-13]. [S.l.]: DARPA/IPTO. http://science.energy.gov/~/media/ascr/ascac/pdf/meetings/mar03/graybill.pdf.
  • 6Defense Advanced Research Projects Agency’s News Release. DARPA developing extreme scale supercomputer system[EB/OL].[2010-08-06]http://www.darpa.mil/WorkArea/DownloadAsset.aspx?id=1795.
  • 7Top500.org. Top 500 supercomputer sites[EB/OL].[2014-12-09].http://www.top500.org/.
  • 8金海,邹德清,陈汉华,孙建华,吴松.Fault—Tolerant Grid Architecture and Practice[J].Journal of Computer Science & Technology,2003,18(4):423-433. 被引量:4
  • 9Dan Reed.Twins separated at birth: cloud computing and HPC[EB/OL]. http://www.hpcwire.com/features/Twins-Separated-at-Birth-41173917.html.
  • 10涂子沛.大数据[M].桂林:广西师范大学出版社.2012.

二级参考文献129

  • 1陈国良,梁维发,沈鸿.并行图论算法研究进展[J].计算机研究与发展,1995,32(9):1-16. 被引量:13
  • 2Chen G L, Sun G Z, Zhang Y Q, et al. Study on parallel computing. J Comput Sci Tech, 2006.21(5): 665--673.
  • 3Grama A, Gupta A, Karypis G, et al. Introduction to parallel computing. Boston: Benjaming/Cummings Publish Company, Inc., 2003.
  • 4Chen G L. A partitioning selection algorithm on multiprocessors. J Comput Sci Tech, 1988, 3(4): 241--250.
  • 5Zhang F, Chen G L, Zhang Z Q. OpenMP on Networks of Workstations for Software DSMs. J Comput Sci Tech, 2002, 17(1): 90--100.
  • 6Sutter H, Larus J. Software and the concurrency revolution. Q focus: Multiprocessors, 2005, 3(7): 54--62.
  • 7Rajkumar B, Chee S Y, Srikumar V. Market-oriented cloud computing: Vision, hype, and reality for delivering IT services as computing utilities. In: Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications, 2008 Sept 25-27, Dalian. Los Alamitos, CA: IEEE CS Press, 2008. 15--22.
  • 8Asanovic K, Bodik R, James J, et al. The landscape of parallel computing research: A view from Berkeley. Technical Report, Electrical Engineering and Computer Sciences, University of California, Berkeley. 2006.
  • 9Zhang Y Q, Chen G L, Sun G Z, et al. Models of parallel computation: a survey and classification. Front Comput Sci China, 2007, 1(2): 156--165.
  • 10Sun X H. Scalable computing in the multicore era. In: Proceedings of the Inaugural Symposium on Parallel Algorithms, Architechures and Programming, 2008 8ep 16-18, Hefei. Hefei: University of Science and Technology of China Press, 2008. 1--18.

共引文献264

同被引文献70

引证文献14

二级引证文献31

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