June 22–26, 2014
Leipzig, Germany

Session Details

Name: Emerging Trends for Big Data in HPC
Time: Wednesday, June 25, 2014
09:00 am - 10:30 am
Room:   Hall 5
CCL - Congress Center Leipzig
Breaks:07:30 am - 10:00 am Welcome Coffee
Chair:   Sverre Jarp, CERN
Abstract:   In this session, the three speakers will perform a deep dive into Big Data. Prof. Dr. Joachim Buhmann from ETH Zurich will explain how machine learning methods can extract complex structures from vast amounts of data. Secondly, Dr. Niko Neufeld from the LHCb experiment at CERN will stress the importance of computing in the online processing of enormous amounts of detector data arriving at a rate of many Terabits/s. Thirdly, Dr. Gunther Weber from LBNL will present applications of topological data analysis and a new approach to topological analysis on parallel machines.
Presentations: Big Data in Neuroscience: Where Is The Information?
09:00 am - 09:30 am
  Joachim M. Buhmann, ETH Zurich
The Boson in the Hay-Stack
09:30 am - 10:00 am
  Niko Neufeld, CERN
Topological Analysis at the Extreme Scale: Finding Features in Large Data Sets
10:00 am - 10:30 am
  Gunther H. Weber, LBNL & UC Davis