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TERATEC Forum 2015
Workshop 2 - Wednesday, June 24 from 9:00 to 12:30

Big Data: Optimizing decision making through Data Analytics
Chaired by Ascension VIZINHO-COUTRY, MATHWORKS and Marie-Christine SAWLEY, INTEL

The era of digitalization induces continually growing volumes of data. In a world where the processing of these data has become a major economic issue, companies and research centers must develop powerful analytic models to extract relevant information and make their offers or research more competitive. In this context, the decision is increasingly guided by the interpretation of these data, reinforcing the simulation and sometimes intuition.

However, the processing and valorization of large amounts of data require substantial computing resources and specific algorithm implementation able to take advantage of the distributed computing infrastructures resources.

This workshop highlights the use of analytical models in complex HPC environments. We will see the latest trends in this field through presentations on mathematical models, the parallelization of data processing algorithms and various computer infrastructure to meet the challenges of Big Data: the calculation means, high performance storage, etc.

SALSA, a tool for large-scale analysis of driving data
Clément VAL, CEESAR (Centre Européen d’Etudes de Sécurité et d’Analyse des Risques), Responsable du département Expérience en science du comportement

Abstract & Biography............... Download the presentation

Parallel tools for predictive analytics of multiple unstructured datasets
Marc WOLFF, Ingénieur MathWorks HPC/Big Data

Abstract & Biography xxxxxxx Download the presentation

Les GPUs pour la classification d’images basée sur des techniques de réseaux de neuroneJulien DEMOUTH, DevTech chez NVIDIA

Download the presentation

Intel and big analytics
Richard PILLING, INTEL

Biography ............... ...... ....... Download the presentation

x-stream analytics using Urika-XA
Ian BIRD, CRAY

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Big Data and the evolving many-core landscape: Are traditional low level programming models really enough?
Gerard GORMAN, IMPERIAL COLLEGE LONDON

Abstract ............... ............... x Download the presentation

 

 

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