[1]陈国良,毛睿,蔡晔.高性能计算及其相关新兴技术[J].深圳大学学报理工版,2015,32(1):25-31.[doi:10.3724/SP.J.1249.2015.01025]
　Chen Guoliang,Mao Rui,and Cai Ye.High performance computing and related new technologies[J].Journal of Shenzhen University Science and Engineering,2015,32(1):25-31.[doi:10.3724/SP.J.1249.2015.01025]
点击复制

高性能计算及其相关新兴技术()
分享到：

《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第32卷
期数:
2015年第1期
页码:
25-31
栏目:
电子与信息科学
出版日期:
2015-01-20

文章信息/Info

Title:
High performance computing and related new technologies
文章编号:
201501004
作者:
陈国良; 毛睿; 蔡晔
深圳大学计算机与软件学院，广东省普及型高性能计算机重点实验室，深圳市服务计算与应用重点实验室，深圳 518060
Author(s):
Chen Guoliang;  Mao Rui;  and Cai Ye
College of Computer Science and Software Engineering, Shenzhen Key Laboratory of Service Computing and Applications, Guangdong Province Key Laboratory of Popular High Performance Computers, Shenzhen University, Shenzhen 518060, P.R.China
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
Keywords:
computer engineering;  high performance computing;  grid computing;  cloud computing;  big data;  internet of things
分类号:
TP 301
DOI:
10.3724/SP.J.1249.2015.01025
文献标志码:
A
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．
Abstract:
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.

参考文献/References:

［1］ Chen Guoliang．Design and analysis of parallel algorithms［M］．3th edit．Beijing：Higher Education Press，2011．(in Chinese)
陈国良．并行计算［M］．3版．北京：高等教育出版社，2011．
［2］ Chen Guoliang, Sun Guangzhong, Xu Yun, et al．Integrated research of parallel computing: status and future［J］．Chinese Science Bulletin, 2009, 54(8)：1043-1049．(in Chinese)
陈国良, 孙广中, 徐云, 等．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.
［3］ Federal 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．
［4］ U.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．
［5］ Graybill 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．
［6］ Defense 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．
［7］ Top500.org. Top 500 supercomputer sites［EB/OL］.［2014-12-09］．http://www.top500.org/．
［8］ Hai Jin, Zou Deqing, Chen Hanhua, et al．Fault-tolerant grid architecture and practice［J］. Journal of Computer Science and Technology, 2003, 18(4)：423-433．
［9］ Liu Peng．Cloud computing［M］．2nd edit．Beijing：Publishing House of Electronics Industry, 2011．(in Chinese)
刘鹏．云计算［M］．2版．北京：电子工业出版社, 2011．
［10］ Dan Reed．Twins separated at birth: cloud computing and HPC［EB/OL］. http://www.hpcwire.com/features/Twins-Separated-at-Birth-41173917.html．
［11］ Tu Zipei． The big data revolution［M］.Guilin：Guangxi Normal University Press ,2012．(in Chinese)
涂子沛．大数据［M］．桂林：广西师范大学出版社, 2012．
［12］ Liu Yunhao．Introduction to internet of things［M］．Beijing：Science Press, 2013．(in Chinese)
刘云浩．物联网导论［M］．北京：科学出版社, 2013．
［13］ Yang Xuejun．Sixty years of parallel computing［J］．Computer Engineering and Science, 2012, 34(8)：1-10．(in Chinese)
杨学军．并行计算六十年［J］．计算机工程与科学, 2012, 34（8）：1-10．
［14］ Sun Ninghui, Chen Guoliang．PHPC: a spreading kind of high performance computer［J］Journal of University of Science and Technology of China, 2008, 38(7)：745-752.(in Chinese)
孙凝晖, 陈国良．PHPC：一种普及型高性能计算机［J］．中国科学技术大学学报, 2008, 38(7)：745-752．
［15］ Chen Guoliang，Cai Ye，Luo Qiuming．Optimization of BLAS based on Loongson 2F architecture［J］．Journal of Shenzhen University Science and Engineering，2011，28(6)：471-477．(in Chinese)
陈国良，蔡晔，罗秋明．国产个人高性能计算机系统研制［J］．深圳大学学报理工版，2011，28(6)：471-477．
［16］ Cai Ye, Liu Gang, Mao Rui, et al. Design and perfor-mance optimization of a popular high performance computing system KD-90［J］. Journal of Shenzhen University Science and Engineering, 2013, 30(2): 138-143.（in Chinese）
蔡晔，刘刚，毛睿，等．KD-90普及型个人高性能计算机系统设计与性能优化［J］. 深圳大学学报理工版，2013，30（2）：138-143.
［17］ Sun Ninghui, Li Kai, Chen Mingyu．HPP：an architecture for high performance and utility computing［J］．Chinese Journal of Computers, 2008, 31(9)：1503-1508．(in Chinese)
孙凝晖, 李凯, 陈明宇．HPP：一种支持高性能和效用计算的体系结构［J］．计算机学报, 2008, 31（9）：1503-1508．
［18］ Zhang Ping, Cui Qimei. Big data-driven resource management for green communication network［J］. Journal of Shenzhen University Science and Engineering, 2013, 30(6): 557-564.（in Chinese）
张平，崔琪楣．大数据驱动的绿色通信网络［J］. 深圳大学学报理工版，2013，30（6）：557-564.
［19］ Wu Jingxi, Fan Fan．Trend of European peta-flops computing［J］．High Performance Computing Technology, 2011, 4(4)：18-22．(in Chinese)
吴静溪, 樊帆．欧洲千万亿次级计算趋势［J］．高性能计算发展与应用, 2011, 4(4)：18-22．

相似文献/References:

[1]王新安,叶兆华,戴鹏,等.可重构阵列DSP结构ReMAP[J].深圳大学学报理工版,2010,27(1):16.
　WANG Xin-an,YE Zhao-hua,DAI Peng,et al.ReMAP：a reconfigurable array DSP architecture[J].Journal of Shenzhen University Science and Engineering,2010,27(1):16.
[2]陈国良,蔡晔,罗秋明.国产个人高性能计算机系统研制[J].深圳大学学报理工版,2011,28(No.6(471-564)):471.
　CHEN Guo-liang,CAI Ye,and LUO Qiu-ming.The China made personal high performance computing system[J].Journal of Shenzhen University Science and Engineering,2011,28(1):471.
[3]蔡晔,刘刚,毛睿,等.KD-90普及型个人高性能计算机系统设计与性能优化[J].深圳大学学报理工版,2013,30(No.2(111-220)):138.[doi:10.3724/SP.J.1249.2013.02138]
　Cai Ye,Liu Gang,Mao Rui,et al.Design and performance optimization of a popular high performance computing system KD-90[J].Journal of Shenzhen University Science and Engineering,2013,30(1):138.[doi:10.3724/SP.J.1249.2013.02138]

备注/Memo

备注/Memo:
Received：2014-09-29；Accepted：2014-12-11
Foundation：National Natural Science Foundation of China-Guangdong (U1301252，61170076)；Shenzhen Foundational Research Project (JCYJ20140418095735561)
Corresponding author：Associate professor Mao Rui．E-mail：mao@szu.edu.cn; Academican Chen Guoliang．E-mail：glchen@szu.edu.cn
Citation：Chen Guoliang，Mao Rui，Cai Ye．High performance computing and related new technologies［J］. Journal of Shenzhen University Science and Engineering, 2015, 32(1): 25-31.（in Chinese）
基金项目：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(JCYJ20140418095 735561)
作者简介：陈国良（1938—），男（汉族），安徽省颍上县人，中国科学院院士，深圳大学教授．E-mail: glchen@szu.edu.cn
引文：陈国良，毛睿，蔡晔．高性能计算及其相关新兴技术［J］. 深圳大学学报理工版，2015，32（1）：25-31.
更新日期/Last Update: 2015-01-05