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TERATEC 2016 Forum
Workshop 3 - Wednesday, June 29

Tools and algorithms for Big Data applications
Chaired by Marie-Christine SAWLEY, INTEL

Technologies for Big Data analysis open a whole range of new opportunities in the e-economy and in scientific discovery. The growing capacities of platform analysis makes possible the usage of more and more complex algorithms for tasks such as decision making, routing, machine learning, monitoring and preventive maintenance. However, the sheer data rate, volume or complexity can render the task to develop, extend and exploit these algorithms a fairly difficult task. Clustering, association learning, similarity matching, neural networks, genetic algorithms, machine learning to cite a few, are essential to exploit rich and complex data. Tools targeting non-mathematician users are in development and will reach out to a growing number of communities who define use cases and extract the economical and societal value. This workshop provided concrete examples of such developments and will give an overview of the most advanced algorithmic development targeting Big Data.

With the participation of :

Driving Innovation through Big Data Discover
Martin WALTERS, Director Big Data Analytics EMEA, ORACLE

Abstract & Biography

Tackling challenges in Big Data analytics: a distributed random forest algorithm
Marc WOLFF, ingenieur d'application, MATHWORKS

Abstract & Biography

Analyse de graphes sur GPU
Alex FENDER, Software Engineer, NVIDIA

Abstract & Biography

Distributed Data Processing Using Spark in Radio Astronomy
Panos LABROPOULOS, PhD, Engineer, BRIGHT COMPUTING, Inc.

Abstract & Biography

Applied Convergence of Supercomputing and Analytics
Vincent PEL and Rob VESSE, CRAY COMPUTER

Abstract & Biography


© TERATEC 2016

For any other information regarding the workshops, please contact :

Jean-Pascal JEGU
Tel : +33 (0)9 70 65 02 10
jean-pascal.jegu@teratec.fr
Campus TERATEC
2, rue de la Piquetterie
91680 BRUYERES-LE-CHATEL
France


 

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