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

September 13 - 18, 2018

Schedule

10:30
Frank Jenko (Max Planck Institute for Plasma Physics and UCLA)

Long Program Overview
PDF Presentation

2:20
Claudia Draxl (Humboldt-Universität)

Boosting materials science through BD & HPC
PDF Presentation

1:40
Frank Jenko (Max Planck Institute for Plasma Physics and UCLA)

Boosting plasma science through BD & HPC
PDF Presentation

1:00
Jeffrey Hittinger (Lawrence Livermore National Laboratory)

Big Data meets High-Performance Computing: An exciting new frontier


Thursday, September 13, 2018

9:00 - 10:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)

The Challenges of Large-Scale Simulation
PDF Presentation

 
10:45 - 12:00
2:00 - 3:15
3:45 - 5:00

Friday, September 14, 2018

9:00 - 10:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)

High-Performance Numerical Algorithms for Large-Scale Simulation
PDF Presentation

 
10:45 - 12:00
2:00 - 3:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)

Build It and They Will Come: How Hardware Influences Large-Scale Simulation
PDF Presentation

 
3:45 - 5:00

Monday, September 17, 2018

9:00 - 10:15
 
10:45 - 12:00
2:00 - 3:15
Karen Willcox (University of Texas at Austin)

Model order reduction: Approximate yet accurate surrogates for large-scale simulation
PDF Presentation

 
3:45 - 5:00

Tuesday, September 18, 2018

9:00 - 10:15
Karen Willcox (University of Texas at Austin)

Multi-fidelity approaches: Fusing models and data to achieve efficient design, optimization and uncertainty quantification
PDF Presentation

 
10:45 - 12:00
Prabhat (NERSC)

Introduction to Machine Learning

 
2:00 - 3:15
Brian Van Essen (Lawrence Livermore National Laboratory)

Deep Learning for Scientific Computing: Recent Success, challenges, and next steps

 
3:45 - 5:00
Prabhat (NERSC)

Deep Learning for Science: current status and future directions