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- Spark is a fast, in-memory cluster computing framework with a language-integrated interface in Scala. It shines at iterative MapReduce (e.g. machine learni...Spark is a fast, in-memory cluster computing framework with a language-integrated interface in Scala. It shines at iterative MapReduce (e.g. machine learning) and interactive data mining, where keeping data in memory provides substantial speedups.
- bigcouch - Putting the 'C' back in CouchDB
- http://www.flickr.com/photos/jurvetson/157722937/
- - Total $2550 - http://helmer.sfe.se/
- Facebook betrieb 2009 rund 30.000 Server für 300 Mio Nutzer, mittlerweile hätte sich die Zahl lt. DatacenterKnowledge.com mind. verdoppelt Wie stellt man ...Facebook betrieb 2009 rund 30.000 Server für 300 Mio Nutzer, mittlerweile hätte sich die Zahl lt. DatacenterKnowledge.com mind. verdoppelt Wie stellt man sich 30.000 Server vor? http://dennis-wisnia.de/wordpress/wp-content/uploads/2010/06/serververgleich.png einen 50er-Block kann man sich als Rack vorstellen
- http://www.facebook.com/video/video.php?v=707216889765&oid=9445547199&comments
- AKF Scale Cube: - DB: http://akfpartners.com/techblog/wp-content/uploads/2008/05/db_cube.png - App: http://akfpartners.com/techblog/wp-content/uploads/200...AKF Scale Cube: - DB: http://akfpartners.com/techblog/wp-content/uploads/2008/05/db_cube.png - App: http://akfpartners.com/techblog/wp-content/uploads/2008/05/app_cube.png
- Chemical Reviews 112(1):182-243 (January 2012)
- Chemical Reviews 112(1):543-631 (January 2012)
- (2012)
- (2012)
- IEEE computer society conference on computer vision and pattern recognition, 2, Citeseer, (2003)
- (2011)cite arxiv:1112.1065Comment: 15 pages, 9 figures, 2 tables; Accepted for publication in MNRAS. A movie of the full time sequence in Figure 1 can be found ...cite arxiv:1112.1065Comment: 15 pages, 9 figures, 2 tables; Accepted for publication in MNRAS. A movie of the full time sequence in Figure 1 can be found at http://www.mpa-garching.mpg.de/~diederik/1m11clusters.html.
- Clusteranalyse: Anwendungsorientierte Einführung in Klassifikationsverfahren, Oldenbourg, München, 3., Auflage edition, (2010)
- Clusteranalyse: Anwendungsorientierte Einführung in Klassifikationsverfahren, chapter 17.1, Oldenbourg, München, 3., Auflage edition, (2010)
- Oldenbourg, München, 3., Aufl. edition, (2010)
- OSDI (2004)
- (2011)cite arxiv:1110.4103 Comment: 14 pages, 4 figures. Published in The Astrophysical Journal Letters .
- (2011)cite arxiv:1109.6015 Comment: 19 pages, 20 figures, MNRAS in press .
- (2011)cite arxiv:1109.4255Comment: 5 pages, 4 figures; proceedings of workshop: Stellar Clusters and Associations, Granada, May 2011 .
- Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language LearningEMNLP-CoNLL, page 410--420. (2007)
- Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 2 - Volume 2, page 534--542. Stroudsburg, PA, USA, Association for Computational Linguistics, (2009)
- Data Min. Knowl. Discov. (March 2005)
- Proceedings of the ECML/PKDD 2011, (2011)
- SIGOPS Oper. Syst. Rev. 31(5):78--91 (1997)
- ACM Comput. Surv. (September 1999)
- (2011)cite arxiv:1108.3836 Comment: Submitted to MNRAS .
