Science at Extreme Scales: Where Big Data Meets Large-Scale Computing Tutorials

September 13 - 18, 2018

Overview

bdc2018 imageThe program opens with four days of tutorials that will provide an introduction to major themes of the entire program and the four workshops.  The goal is to build a foundation for the participants of this program who have diverse scientific backgrounds.  The topics covered during the tutorials will include the following:

Large-scale data analytics

  • An overview of typical challenges and approaches
  • Statistical foundations of modern data analytics
  • A primer on machine learning
  • Deep learning: Recent successes and next steps
  • Hardware aspects of large-scale data analytics

 

Large-scale simulation

  • An overview of typical challenges and approaches
  • Scalable algorithms for HPC
  • Multi-fidelity approaches and model-order reduction
  • Uncertainty quantification and predictive computational science
  • Hardware aspects of large-scale simulation

 

Large-scale data management

  • An overview of typical challenges and approaches
  • Handling BD: Efficient data representation and compression
  • Hardware aspects of large-scale data management

 

Big Data and HPC Visualization

 

Please note: there are no activities on Saturday and Sunday, Sept. 15-16.  For those participating in the long program, please plan to attend Opening Day on Wednesday, Sept. 12, as well.  Others may participate in Opening Day by invitation from the organizing committee.

Organizing Committee

Joachim Buhmann (ETH Zürich)
Hans-Joachim Bungartz (Technical University Munich (TUM), Computer Science)
Emmanuel Candes (Stanford University, Applied and Computational Mathematics)
Jeffrey Hittinger (Lawrence Livermore National Laboratory, Center for Applied Scientific Computing)
Frank Jenko (Max Planck Institute for Plasma Physics and UCLA, Physics and Astronomy)
David Keyes (King Abdullah Univ. of Science and Technology (KAUST), Applied Mathematics and HPC)
Alan Lee (AMD)
Tandy Warnow (University of Illinois at Urbana-Champaign, Computer Sciences)