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Mr
Jonas Traub
(Technische Universität Berlin)
10/11/17, 2:00 PM
Presentation
The Berlin Big Data Center (BBDC) is a Competence Centre funded by the German Federal Ministry of Education and Research lead by Technische Universität Berlin. Within the BBDC the consortium consisting of the Fritz Haber Institute of the Max Planck Society, the Beuth University of Applied Sciences Berlin and the German Research Center for Artificial Intelligence (DFKI) and the...
Dr
Rene Jaekel
(TU Dresden)
10/11/17, 2:30 PM
Presentation
Seit Oktober 2014 entwickelt das durch das BMBF geförderte Big-Data-Kompetenzzentrum ScaDS Dresden/Leipzig neue Methoden für den Umgang mit Big Data und arbeitet gemeinsam mit einer Vielzahl an Praxispartnern an der Bereitstellung von Diensten für Aufgabenstellungen aus dem Umfeld von Big Data. Die Partner stammen sowohl aus Wirtschaft und Wissenschaft und sind mit sehr heterogenen...
Dr
Rene Jaekel
(TU Dresden), Prof.
Wolfgang. E. Nagel
(TU Dresden / ZIH)
10/11/17, 3:00 PM
Presentation
The efficient and intelligent handling of large, often distributed and heterogeneous data sets increasingly determines the scientific and economic competitiveness in most application areas. Mobile applications, social networks, multimedia collections, sensor networks, data intense scientific experiments and complex simulations generate nowadays a data deluge. But, processing and analyzing...
Mr
Karl-Uwe Stucky
(KIT)
10/11/17, 4:00 PM
Presentation
Im Rahmen der Projekte Energie Lab 2.0 und Energiesystem 2050 wird eine Forschungsinfrastruktur aufgebaut, die eine ganzheitliche Forschung zu zukünftigen intelligenten Energiesystemlösungen auf Systemebene ermöglicht. Verschiedene Partner aus der Helmholtzgemeinschaft und der Industrie sind dabei involviert. Für die Erforschung der für solche Systeme benötigten smarten...
Jan Erik Sundermann
(Karlsruhe Institute of Technology)
10/11/17, 4:30 PM
Presentation
The Smart Data Innovation Lab (SDIL) is established as a nationwide laboratory for Smart Data research. It facilitates the analysis of complex data by providing state-of-the-art in-memory and big-data technologies. SDIL provides a platform to promote the cooperation between industry and public as well as private research sectors in the field of big data and smart data technologies. Companies...
Mr
Timo Bingmann
(KIT)
10/11/17, 5:00 PM
Presentation
We present on-going work on a new distributed Big Data processing framework called Thrill. It is a C++ framework consisting of a set of basic scalable algorithmic primitives like mapping, reducing, sorting, merging, joining, and additional MPI-like collectives. This set of primitives goes beyond traditional Map/Reduce and can be combined into larger more complex algorithms, such as...
