article

High-performance Computing in China: Research and Applications

Authors:

Ninghui Sun,

David Kahaner,

Debbie ChenAuthors Info & Claims

International Journal of High Performance Computing Applications, Volume 24, Issue 4

Pages 363 - 409

https://doi.org/10.1177/1094342010381800

Published: 01 November 2010 Publication History

Abstract

In this report we review the history of high-performance computing (HPC) system development and applications in China and describe the current status of major government programs, HPC centers and facilities, major research institutions, important HPC application fields, and domestic vendor activities. A comparison between China and developed nations, such as the United States, European countries, and Japan, in terms of system development level, application level, and long-term planning, is also briefly provided. In addition, the authors also include a few predictions about future directions for Chinaâ s HPC technology and applications.

References

[1]

Advisory Group for Strategic Study on High-Performance Computing, Division of Mathematics and Physics, Chinese Academy of Sciences. Suggestions on Accelerating Development of High-Performance Computing in China, e-Science Technology and Application, 2008, 1(3): 1-7.

Google Scholar

[2]

Annual Report of Shanghai Supercomputing Center. (2008). Shanghai: SSC.

Google Scholar

[3]

Applications are the key to the popularity of HPC. Available at http://server.doit.com.cn/article/2009/0107/2399593.shtml. Jan 7th, 2009.

Google Scholar

[4]

Asanović, K. et al. (2006). The landscape of parallel computing research: a view from Berkeley. Technical Report No. UCB/ EECS-2006-183, December 18.

Google Scholar

[5]

ATIP09.013: Transforming Product Development in China - a ATIP report published at following link:http://www.atip.org/atip-publications/atip-reports/2009/6965-atip09-013-transforming-product-development-in-china.html.

Google Scholar

[6]

Bader, D. A. (Ed.) Petascale Computing: Algorithms and Applications. Chapman & Hall/CRC, Dec 2007.

Google Scholar

[7]

CAS Institute of Biophysics. Available at http://www.ibp.ac.cn/c/04/archive/05/c/runshengchen.html

Google Scholar

[8]

CAS Institute of Physics. Available at http://hre.iphy.ac.cn/ability/rjcwds.asp

Google Scholar

[9]

China TOP100 List. Nov 2nd, 2009. http://www.samss.org.cn

Google Scholar

[10]

CNGrid. Available at http://i.cs.hku.hk/~clwang/grid/CNGrid.html

Google Scholar

[11]

Dean, J. and Ghemawat, S. ( 2004). MapReduce: simplified data processing on large clusters . In Sixth Symposium on Operating System Design and Implementation (OSDI¿04), San Francisco, CA, December.

Crossref

Google Scholar

[12]

Fan, L. et al. (2008). Design and implementation of parallelized single particle reconstruction software EMAN. In Proceedings of HPC China, Wuxi, Jiangsu Province .

Google Scholar

[13]

Galaxy Series. Available at http://zh.wikipedia.org/wiki/%E9%93%B6%E6%B2%B3%E8%AE%A1%E7%AE%97%E6%9C%BA

Google Scholar

[14]

Gao, Q. Vector Computer 757. Sept 25th, 2009. Available at http://www.techcn.com.cn/index.php?doc-view-135769

Google Scholar

[15]

Gui, W. ( 2008). Should Pay More Attention to Applied and Fundamental Study for High-Performance Computing, e-Science Technology and Application, 2008, 1(3): 8-11.

Google Scholar

[16]

High-performance Computer Standardization Committee of CESA. Available at http://www.hpcsc.org/

Google Scholar

[17]

History of Bioinformatics. Jan 2nd, 2009. Available at http://www.xinkexue.com/wiki-doc-docid-530.html. Jan 2nd, 2009.

Google Scholar

[18]

Hu, S. ( 2003). Wizard of calculation on the bank of Huaihe River: new academician of Chinese academy of sciences, Prof. Chen Guoliang. USTC News 489, December.

Google Scholar

[19]

Hu, W., Zhang, F. and Li, Z. ( 2006). Design and performance analysis of the Godson-2 Processor . J. Comput. Res. Dev. 43(6): 959-966.

Crossref

Google Scholar

[20]

Kogge, P.M. et al. (2008). ExaScale computing study: technology challenges in achieving Exascale systems. Washington, DC: DARPA Information Processing Techniques Office, p. 278, September 28.

Google Scholar

[21]

Large-scale graph computing at Google. June 2009. Available at http://googleresearch.blogspot.com/2009/06/large-scale-graph-computing-at-google.html

Google Scholar

[22]

Li, G. From Computer103 to Dawning series: history of high-performance general-purpose computers R&D in China. June 2006. Available at http://www.ict.cas.cn/liguojiewenxuan/wzlj/lgjkp/200909/t20090915_2483677.html

Google Scholar

[23]

Microsoft Research. Dryad project, 2010. Available at http://research.microsoft.com/en-us/projects/Dryad/

Google Scholar

[24]

National High-Tech R&D Program ( 863 Program) IT field key project (2009). High-efficiency computer and grid service environment. Project Application Guide of 2009.

Google Scholar

[25]

National Research Center for Intelligent Computing Systems. Achievements of Scientific Research, July 2009. http://www.ncic.ac.cn/product/product.htm

Google Scholar

[26]

Oil field development large-scale data processing system. Guangming Daily, February 9, 2000 Available at http://www.gmw.cn/01gmrb/2000-02/09/GB/02%5E18325%5E0%5EGMA3-010.htm

Google Scholar

[27]

Qian, Di. ( 2009). High-efficiency computers and grid service environment . Key project progress. Comm. CCF 5(4): 74-78.

Google Scholar

[28]

Semiconductor Industries Association. (2006 ). International Technology Roadmap for Semiconductors. Available at http://www.itrs.net/Links/2006Update/2006UpdateFinal.htm .

Google Scholar

[29]

Sun, N. ( 2007a). HPC China 2007 report.

Google Scholar

[30]

Sun, N. ( 2008). HPC China 2008 report.

Google Scholar

[31]

Sun, N. Research of high-performance computers in ICT. Jan 10th, 2004 . Available at http://www.ncic.ac.cn/road/road3_10.htm

Google Scholar

[32]

Sun, N., Li K. and Chen, M. ( 2008). HPP: an architecture for high performance and utility computing. Chin. J. Comput. 31(9): 1503-1508.

Crossref

Google Scholar

[33]

Sun, N. et al. (2009). Survey of scalable applications and scalable systems. 7(1): 1-34.

Google Scholar

[34]

TOP500 List. (2010). Available at http://www.top500.org/

Google Scholar

[35]

Wang, H. Revolutions in geophysical computer, Progress in Expolration Geophysics, 2009, 32(4): 233-238.

Google Scholar

[36]

Wang, H. High Performance Computing for Geophysical Prospecting, Geophysical Technology Bulletin, 2008(3):105.

Google Scholar

[37]

Wu, C. et al. (2005). An overview of the open research compiler . Lang. Compilers High Perform. Comput. vol. 3602: 17-31.

Crossref

Google Scholar

[38]

Xi, Z. Operation Analysis of Shanghai Supercomputing Center for the first five years, Development and Applications of HPC, 2005(4): 2-6.

Google Scholar

[39]

Yang, X. ( 2006). The development and challenges of high-performance computers . Report of Computer Science &Technology Development in China.

Google Scholar

[40]

Zhan, J. et al. (2009). High-throughput computing: An ICT View. Technical Report, Institute of Computing Technology.

Google Scholar

[41]

Zhang, J., Zhang, H. and Li, H. ( 2008). Design of Teraflops high-performance computer KD-50-I based on Loongson-2F CPU. J. USTC 38(1): 105-108.

Google Scholar

[42]

Zhang, Y., Sun, J., Yuan, G. and Zhang, L. ( 2008). Comparison and analysis of 2007 high-performance computer list. Comm. CCF 4(4): 80-85.

Google Scholar

[43]

Zhang, Z.-H. et al. (2006). Easy and reliable cluster management: the self-management experience of Fire Phoenix, Second Workshop on System Management Tools for Large-Scale Parallel Systems (SMTPS workshop) held in conjunction with the 20th International Parallel and Distributed Processing Symposium (IPDPS 2006), April 25-April 29, Rhodes Island, Greece . IPDPS.

Crossref

Google Scholar

[44]

http://www.ciw.com.cn/News/hotnews/2006-10-26/9905.shtml. Transcript of China Computer Development 50th Anniversary & 2006 China National Computer Conference, Oct 26th, 2006.

Google Scholar

[45]

http://www.biotech.org.cn/fruit/news_show.php?id=33969. Who is the Big Winner in DNA Sequencing?, May 15th, 2006.

Google Scholar

[46]

http://www.it.com.cn/f/market/0810/20/675599.htm. Gene comparison: Shining new light on Drug Design, Oct 20th, 2008.

Google Scholar

Cited By

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Feng JLiu GZhang JZhang ZYu JZhang Z(2018)Workload Characterization and Evolutionary Analyses of Tianhe-1A SupercomputerComputational Science – ICCS 201810.1007/978-3-319-93698-7_44(578-585)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-93698-7_44
Abuzaghleh OGoldschmidt KElleithy YLee J(2013)Implementing an affordable high-performance computing for teaching-oriented computer science curriculumACM Transactions on Computing Education (TOCE)10.1145/2414446.241444913:1(1-14)Online publication date: 7-Feb-2013
https://dl.acm.org/doi/10.1145/2414446.2414449

High-performance Computing in China: Research and Applications

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Reviews

Reviewer: Alin Adrian Anton

Chinese high-performance computing (HPC) efforts used to be elusive and somewhat suspect to outsiders, except for the recent rise of Chinese supercomputers to the head of the TOP500 list of the most powerful systems (http://www.top500.org/). This first survey is a definitive guide to the subject. The text contains dense statistical information, but the message is clear: government policymakers confuse HPC with mass production systems, and consequently push for supercomputer performance way beyond the requirements of the internal market. The survey shows how the Chinese have dealt with indigenous computer design problems. It covers 60 years of computing in China, discussing national grants and policies, associations, research topics, and domestic vendors. According to the data, the primary scientific fields that have benefited from HPC in China are numerical weather prediction and seismology. Typical industry users rarely require more than 64 central processing units (CPUs), partly because of software licensing limitations and scalability problems. The authors correctly identify that HPC software is a weak link in China, and they acknowledge the urgent need to establish a national software suite to have in mind when designing supercomputers. Besides the bold observations on the state of affairs in Chinese HPC, this survey is most likely going to become a classic reference when discussing the subject of HPC and its applications in China. Online Computing Reviews Service

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cover image International Journal of High Performance Computing Applications

International Journal of High Performance Computing Applications Volume 24, Issue 4

November 2010

149 pages

ISSN:1094-3420

Issue’s Table of Contents

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Sage Publications, Inc.

United States

Publication History

Published: 01 November 2010

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Feng JLiu GZhang JZhang ZYu JZhang Z(2018)Workload Characterization and Evolutionary Analyses of Tianhe-1A SupercomputerComputational Science – ICCS 201810.1007/978-3-319-93698-7_44(578-585)Online publication date: 11-Jun-2018
https://dl.acm.org/doi/10.1007/978-3-319-93698-7_44
Abuzaghleh OGoldschmidt KElleithy YLee J(2013)Implementing an affordable high-performance computing for teaching-oriented computer science curriculumACM Transactions on Computing Education (TOCE)10.1145/2414446.241444913:1(1-14)Online publication date: 7-Feb-2013
https://dl.acm.org/doi/10.1145/2414446.2414449

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References

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Recommendations

The Closer Economic Partnership Agreement (CEPA) between China and Hong Kong SAR

Understanding China's telecommunications policymaking and reforms: a tale of transition toward liberalization

Mobile communications in China

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