[Markus Goetz]

1100-1230 on Thursday 27 march

Chairs

 

Peter Baumann <p.baumann@jacobs-university.de>

Kuo Kwo-Sen <kuo@bayesics.com>

Morris Riedel <m.riedel@fz-juelich.de> 

 

Presentations – Day 1

 

Morris Riedel – Classification Techniques in Remote Sensing Research using Smart Data Analytics

• Forschungszentrum Jülich, Germany and University of Iceland, Reykjavik
• Remote sensing use case, classify satellite image pixels into land-cover classes (trees, soil, …)
• Parallel support vector machine (SVM) technology comparison

 

Shabaz Memmon – Ultrascan and Brain Analytics

• Forschungszentrum Jülich, Germany
• Two use cases:
  • Ultracentrifugation experimentation in the analysis of biological and synthetic macromolecules
  • Human brain functionality understanding based on cross section block images
• Ultrascan (US3) based on MPI
• Random Forrests and SVM with RBF kernels

 

Geoffrey Fox – Data Analytics at Digital Science Center @SOIC

• Indiana University, Bloomington, USA
• Integration of HPC with the Apache Big Data Stack
• 16 different use cases

Presentations – Day 2

Wo Chang – RDA Big Data Activities

• National Institute for Standards and Technology (NIST), Gaithersburg, USA
• Presentation of the NIST Big Data Analytics Reference Architecture
• Fingerprint Analysis Use Case

Kuo Kwo-Sen – Automated Identification of Episodes of Earth Science Phenomena

• Bayesian & NASA, Maryland, USA
• In-array database analytics using SciDB
• Blizzard Observation Use Case

 

Peter Baumann – Use Case Array Databases

• Jacobs University, Munich, Germany
• Agile array analytics on top of the rasdaman array database
• Various use cases, including stock trading, social networks, climatology, HEP and genomes

 

Hugh Shanahan – NGS Transcriptomic Workflows

• Royal Holloway, University of London, UK
• NGS Transcriptomic Workflow from trace data to expemerimentation
• Sequencing pipeline and storage

 

Frank Seinstra – Big Compute meets Big Data

• Netherlands eScience Center, Amsterdam, The Netherlands
• eSTeP – eScience Technology Plattform (AEther, Xenon, …), bridging science and industry
• Different use cases (supernova detection, climate research, …)

 

Slides

 

See attachements

 

Geoffrey20Fox.pptx

Hugh20Shanahan.ppt

Frank20Seinstra.pdf

Morris20Riedel.pdf

Welcome.pdf

Shabaz20Memmon.pdf

Peter20Baumann.ppt

Wo20Chang.pptx

Kuo20Kwo20Sen.pptx

Discussion