计算机集群 (Chinese Wikipedia)

Analysis of information sources in references of the Wikipedia article "计算机集群" in Chinese language version.

refsWebsite

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15web.archive.org

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4doi.org

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3google.ca

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2archive.org

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2ieee.org

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2books.google.com

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1stackoverflow.com

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1pcauthority.com.au

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1gatech.edu

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1telegraph.co.uk

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1sciam.com

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1ornl.gov

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1ibm.com

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1microsoft.com

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1linuxjournal.com

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1psu.edu

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1acm.org

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1worldcat.org

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acm.org

dl.acm.org

Francioni, Joan M.; Pancake, Cherri M. A Debugging Standard for High-performance computing. Scientific Programming (Amsterdam, Netherlands: IOS Press). April 2000, 8 (2): 95–108 [2019-02-07]. ISSN 1058-9244. doi:10.1155/2000/971291. （原始内容存档于2018-12-02）.

archive.org

Gray, Jim; Rueter, Andreas. Transaction processing : concepts and techniques. Morgan Kaufmann Publishers. 1993. ISBN 1558601902.
Pfister, Gregory. In Search of Clusters 2nd. Upper Saddle River, NJ: Prentice Hall PTR. 1998: 36. ISBN 0-13-899709-8.

books.google.com

Aho, Alfred V.; Blum, Edward K. Computer Science: The Hardware, Software and Heart of It. 2011: 156–166. ISBN 1-4614-1167-X.
Rauber, Thomas; Rünger, Gudula. Parallel Programming: For Multicore and Cluster Systems. 2010: 94–95. ISBN 3-642-04817-X.

doi.org

Yokokawa, Mitsuo; et al. The K computer: Japanese next-generation supercomputer development project. International Symposium on Low Power Electronics and Design (ISLPED): 371–372. 1–3 August 2011 [2019-02-07]. doi:10.1109/ISLPED.2011.5993668. （原始内容存档于2019-02-13）.
Hamada, Tsuyoshi; et al. A novel multiple-walk parallel algorithm for the Barnes–Hut treecode on GPUs – towards cost effective, high performance N-body simulation. Computer Science - Research and Development. 2009, 24: 21–31. doi:10.1007/s00450-009-0089-1.
K. Shirahata; et al. Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters. Cloud Computing Technology and Science (CloudCom): 733–740. 30 Nov – 3 Dec 2010 [2019-02-07]. ISBN 978-1-4244-9405-7. doi:10.1109/CloudCom.2010.55. （原始内容存档于2014-10-11）.
Francioni, Joan M.; Pancake, Cherri M. A Debugging Standard for High-performance computing. Scientific Programming (Amsterdam, Netherlands: IOS Press). April 2000, 8 (2): 95–108 [2019-02-07]. ISSN 1058-9244. doi:10.1155/2000/971291. （原始内容存档于2018-12-02）.

gatech.edu

cc.gatech.edu

Bader, David; Pennington, Robert. Cluster Computing: Applications. Georgia Tech College of Computing. May 2001 [2017-02-28]. （原始内容存档于2007-12-21）.

google.ca

books.google.ca

Milicchio, Franco; Gehrke, Wolfgang Alexander. Distributed services with OpenAFS: for enterprise and education. 2007: 339–341 [2019-02-07]. ISBN 9783540366348. （原始内容存档于2019-06-05）.
Prabhu, C.S.R. Grid and Cluster Computing. 2008: 109–112 [2019-02-07]. ISBN 8120334280. （原始内容存档于2018-11-27）.
Vargas, Enrique; Bianco, Joseph; Deeths, David. Sun Cluster environment: Sun Cluster 2.2. Prentice Hall Professional. 2001: 58 [2019-02-07]. ISBN 9780130418708. （原始内容存档于2021-02-26）.

ibm.com

www-03.ibm.com

IBM Cluster System : Benefits. IBM. [2014-09-08]. （原始内容存档于2016-04-29）.

ieee.org

ieeexplore.ieee.org

Yokokawa, Mitsuo; et al. The K computer: Japanese next-generation supercomputer development project. International Symposium on Low Power Electronics and Design (ISLPED): 371–372. 1–3 August 2011 [2019-02-07]. doi:10.1109/ISLPED.2011.5993668. （原始内容存档于2019-02-13）.
K. Shirahata; et al. Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters. Cloud Computing Technology and Science (CloudCom): 733–740. 30 Nov – 3 Dec 2010 [2019-02-07]. ISBN 978-1-4244-9405-7. doi:10.1109/CloudCom.2010.55. （原始内容存档于2014-10-11）.

linuxjournal.com

Mauer, Ryan. Xen Virtualization and Linux Clustering, Part 1. Linux Journal. 2006-01-12 [2017-06-02]. （原始内容存档于2019-05-03）.

microsoft.com

technet.microsoft.com

Evaluating the Benefits of Clustering. Microsoft. 2003-03-28 [2014-09-08]. （原始内容存档于2016-04-22）.

ornl.gov

climate.ornl.gov

Hargrove, William W.; Hoffman, Forrest M. Cluster Computing: Linux Taken to the Extreme. Linux Magazine. 1999 [2011-10-18]. （原始内容存档于2011-10-18）.

pcauthority.com.au

Graham-Smith, Darien. Weekend Project: Build your own supercomputer. PC & Tech Authority. 2012-06-29 [2017-06-02]. （原始内容存档于2017-07-04）.

psu.edu

citeseerx.ist.psu.edu

Gropp, William; Lusk, Ewing; Skjellum, Anthony. A High-Performance, Portable Implementation of the MPI Message Passing Interface. Parallel Computing. 1996. CiteSeerX 10.1.1.102.9485 .

sciam.com

William W. Hargrove, Forrest M. Hoffman and Thomas Sterling. The Do-It-Yourself Supercomputer. Scientific American 265 (2). 2001-08-16: 72–79 [2011-10-18]. （原始内容存档于2019-12-10）.

stackoverflow.com

Cluster vs grid computing. Stack Overflow. [2019-02-07]. （原始内容存档于2019-09-20）.

telegraph.co.uk

Nuclear weapons supercomputer reclaims world speed record for US. The Telegraph. 2012-06-18 [2012-06-18]. （原始内容存档于2020-04-13）.

web.archive.org

Cluster vs grid computing. Stack Overflow. [2019-02-07]. （原始内容存档于2019-09-20）.
Graham-Smith, Darien. Weekend Project: Build your own supercomputer. PC & Tech Authority. 2012-06-29 [2017-06-02]. （原始内容存档于2017-07-04）.
Bader, David; Pennington, Robert. Cluster Computing: Applications. Georgia Tech College of Computing. May 2001 [2017-02-28]. （原始内容存档于2007-12-21）.
Nuclear weapons supercomputer reclaims world speed record for US. The Telegraph. 2012-06-18 [2012-06-18]. （原始内容存档于2020-04-13）.
William W. Hargrove, Forrest M. Hoffman and Thomas Sterling. The Do-It-Yourself Supercomputer. Scientific American 265 (2). 2001-08-16: 72–79 [2011-10-18]. （原始内容存档于2019-12-10）.
Hargrove, William W.; Hoffman, Forrest M. Cluster Computing: Linux Taken to the Extreme. Linux Magazine. 1999 [2011-10-18]. （原始内容存档于2011-10-18）.
Yokokawa, Mitsuo; et al. The K computer: Japanese next-generation supercomputer development project. International Symposium on Low Power Electronics and Design (ISLPED): 371–372. 1–3 August 2011 [2019-02-07]. doi:10.1109/ISLPED.2011.5993668. （原始内容存档于2019-02-13）.
IBM Cluster System : Benefits. IBM. [2014-09-08]. （原始内容存档于2016-04-29）.
Evaluating the Benefits of Clustering. Microsoft. 2003-03-28 [2014-09-08]. （原始内容存档于2016-04-22）.
Mauer, Ryan. Xen Virtualization and Linux Clustering, Part 1. Linux Journal. 2006-01-12 [2017-06-02]. （原始内容存档于2019-05-03）.
Milicchio, Franco; Gehrke, Wolfgang Alexander. Distributed services with OpenAFS: for enterprise and education. 2007: 339–341 [2019-02-07]. ISBN 9783540366348. （原始内容存档于2019-06-05）.
Prabhu, C.S.R. Grid and Cluster Computing. 2008: 109–112 [2019-02-07]. ISBN 8120334280. （原始内容存档于2018-11-27）.
K. Shirahata; et al. Hybrid Map Task Scheduling for GPU-Based Heterogeneous Clusters. Cloud Computing Technology and Science (CloudCom): 733–740. 30 Nov – 3 Dec 2010 [2019-02-07]. ISBN 978-1-4244-9405-7. doi:10.1109/CloudCom.2010.55. （原始内容存档于2014-10-11）.
Vargas, Enrique; Bianco, Joseph; Deeths, David. Sun Cluster environment: Sun Cluster 2.2. Prentice Hall Professional. 2001: 58 [2019-02-07]. ISBN 9780130418708. （原始内容存档于2021-02-26）.
Francioni, Joan M.; Pancake, Cherri M. A Debugging Standard for High-performance computing. Scientific Programming (Amsterdam, Netherlands: IOS Press). April 2000, 8 (2): 95–108 [2019-02-07]. ISSN 1058-9244. doi:10.1155/2000/971291. （原始内容存档于2018-12-02）.

worldcat.org

Francioni, Joan M.; Pancake, Cherri M. A Debugging Standard for High-performance computing. Scientific Programming (Amsterdam, Netherlands: IOS Press). April 2000, 8 (2): 95–108 [2019-02-07]. ISSN 1058-9244. doi:10.1155/2000/971291. （原始内容存档于2018-12-02）.