Algorithms for BIG DATA. While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack algorithmic methods that are able to efficiently utilize additional processors or memory features.
http://www.big-data-spp.de/
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Home | big-data-spp.de Reviews
https://big-data-spp.de
Algorithms for BIG DATA. While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack algorithmic methods that are able to efficiently utilize additional processors or memory features.
big-data-spp.de
Imprint
http://www.big-data-spp.de/imprint
Algorithms for BIG DATA. Angaben gem. 6 TDG (Gesetz über die Nutzung von Telediensten (Teledienstgesetz - TDG) vom 22. Juli 1997 in der Fassung vom 14. Dezember 2001. D-60323 Frankfurt am Main. Telefon: 49 (0) 69 / 798-0. Telefax: 49 (0) 69 / 798-28383. Internet: http:/ www.uni-frankfurt.de. Die Johann Wolfgang Goethe-Universität ist eine Stiftung des öffentlichen Rechts. Die Präsidentin der Goethe-Universität, Prof. Dr. Birgitta Wolff. Hessisches Ministerium für Wissenschaft und Kunst.
Projects
http://www.big-data-spp.de/projects
Algorithms for BIG DATA. 3D T Terabyte Image Analysis (associated). Algorithmic Foundations for Genome Assembly. Algorithms for Solving Time-Dependent Routing Problems with Exponential Output Size. Big-Data-DynAmO: Dynamic, Approximate, and Online Methods for Big Data. Competitive Exploration of Large Networks. Distributed Data Streams in Dynamic Environments. Efficient Semantic Search on Big Data. Fast Inexact Combinatorial and Algebraic Solvers for Massive Networks. Scaling Up Generic Optimization.
News
http://www.big-data-spp.de/news
Algorithms for BIG DATA. The PhD Meeting 2017 will take place in Barcelona. Friday 20th, January.
Press Release
http://www.big-data-spp.de/press
Algorithms for BIG DATA. Bericht Uni Report 11.Juli 2014 P.7. Ist Rechenpower alles bei der Big-Data-Analyse? Neue Algorithmen für "Big Data" - FAZJOB.net. Big Data im Alltag effizient verarbeiten - KIT. Algorithmische Überlebensstrategien in der Datenflut.
Coordination
http://www.big-data-spp.de/coordination
Algorithms for BIG DATA. Prof Dr. Ulrich Meyer. Johann Wolfgang Goethe-Universität Frankfurt am Main. David Veith, M.Sc. Prof Dr. Susanne Albers. Prof Dr. Hannah Bast. Prof Dr. Kurt Mehlhorn. MPI für Informatik, Saarbrücken. Prof Dr. Ulrich Meyer (coord.). Goethe Universität Frankfurt am Main. Prof Dr. Eugene Myers. MPI für Molekulare Zellbiologie und Genetik, Dresden. Prof Dr. Peter Sanders. Karlsruher Institut für Technologie. Prof Dr. Christian Scheideler. Prof Dr. Martin Skutella.
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Prof. Dr. Dorothea Wagner [Algorithmik I - Karlsruher Institut für Technologie (KIT)]
http://i11www.iti.uni-karlsruhe.de/members/dorothea_wagner/index
Skip to the top-level navigation. Skip to the section-level navigation. Skip to the content. Bachelor-/Masterarb., Hiwi-Jobs. Am Institut für Theoretische Informatik. Sie befinden sich hier:. Raquo; Prof. Dr. Dorothea Wagner. Prof Dr. Dorothea Wagner. Karlsruher Institut für Technologie (KIT). Institut für Theoretische Informatik. Dorothea [dot] wagner [at] kit [dot] edu. Raum 320, Informatik-Hauptgebäude 50.34. Indo-German CALDAM Pre-Conference School on Algorithms and Combinatorics. DA Bader, H. Me...
spinoffs.alumni-informatik-dortmund.de
Alumni der Informatik Dortmund e.V. | Das Netzwerk der Chancen
http://spinoffs.alumni-informatik-dortmund.de/index.php
Skip to Main Content Area. REALITY Jobmesse für IT. Verfasst von hans.decker am 9. Oktober 2016 - 23:08. Mit Deep Learning zur Superintelligenz? Im Hörsaal 1, SRG 1. Der Dortmunder Alumni-Tag 2016 statt. Oder erleben wir bloß einen weiteren folgenlosen Hype um die Künstliche Intelligenz? Dass Computer in speziellen Anwendungen bessere, intelligentere, Ergebnisse erzielen können als Menschen wurde vielfach gezeigt. Die bekanntesten Beispiele sind etwa IBMs Watson-System, das die besten menschlichen Ka...
Location | SPP BIG DATA Annual Meeting 2016 in Dortmund
http://big-data-dortmund.de/location.php
Annual Meeting of the SPP 1736 26.-28.09.2016 Dortmund. Department of Computer Science. The talks will take place in leture hall E23. SPP Big Data Webseite.
Program | SPP BIG DATA Annual Meeting 2016 in Dortmund
http://big-data-dortmund.de/program.php
Annual Meeting of the SPP 1736 26.-28.09.2016 Dortmund. Every regular talk time slot consists of a 20 minutes talk. Plus 5 minutes discussion. Monday, 26.09.2016. The Analysis of Big Molecule Data and their Scaffolds based on Maximum Similar Subgraphs. Oliver Koch, TU Dortmund. Graph-Based Methods for Rational Drug Design. Progress on Algorithmic Foundation of Genome Assembly. Anand Srivastav, Christian-Albrechts-Universität zu Kiel. Algorithmic Foundation of Genome Assembly. Big Data and Small Devices.
Accommodation | SPP BIG DATA Annual Meeting 2016
http://big-data-dortmund.de/accommodation.php
Annual Meeting of the SPP 1736 26.-28.09.2016 Dortmund. That close to our annual meeting there is a trading fair taking place in Dortmund and hotels will be heavily booked:. Dortmunder Herbst (29.09. - 03.10.). We encourage everybody to book as early as possible. We blocked several rooms at the following hotels. The rooms can be booked with the specified keyword SPP1736. Please send us a once you have booked a room. A note that the residence is occupationally related. Blocked: 5 rooms (standard).
Algorithms for BIG DATA | Annual Meeting 2016 of the SPP 1736 in Dortmund
http://big-data-dortmund.de/index.php
Annual Meeting of the SPP 1736 26.-28.09.2016 Dortmund. Photo by Timo Bingmann, edited by Tobias Brinkjost. SPP Big Data Webseite.
theinf2.informatik.uni-jena.de
Scaling Up Generic Optimization
http://theinf2.informatik.uni-jena.de/Projects/Scaling+Up+Generic+Optimization.html
Scaling Up Generic Optimization. Engineering a Generic Solver for Convex Optimization Problems. Raquo; Scaling Up. Scaling Up Generic Optimization. Funded by the Deutsche Forschungsgemeinschaft. Within the priority program Algorithms for Big Data (SPP 1736). Jens K. Müller. Scaling Up Generic Optimization. Engineering a Generic Solver for Convex Optimization Problems.
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Algorithms for BIG DATA. While it is getting more and more difficult to build faster processors, the hardware industry keeps on increasing the number of processors/cores per board or graphics card, and also invests into improved storage technologies. However, all these investments are in vain, if we lack algorithmic methods that are able to efficiently utilize additional processors or memory features.
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