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

September 13 - 18, 2018

Schedule

All times in this Schedule are Pacific Time (PT)
10:30
Frank Jenko (BDC) (Max Planck Institute for Plasma Physics and UCLA)

Long Program Overview
PDF Presentation

2:20
Claudia Draxl (BDC) (Humboldt-Universität)

Boosting materials science through BD & HPC
PDF Presentation

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

Boosting plasma science through BD & HPC
PDF Presentation

1:00
Jeffrey Hittinger (BDC) (Lawrence Livermore National Laboratory)

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


Thursday, September 13, 2018

Morning Session

8:00 - 8:50 Check-In/Breakfast (Hosted by IPAM)
8:50 - 9:00 Welcome and Opening Remarks (Illumination Room)
9:00 - 10:15
Jeffrey Hittinger (BDC) (Lawrence Livermore National Laboratory)

The Challenges of Large-Scale Simulation
PDF Presentation

 
10:25 - 10:45 Break
10:45 - 12:00
12:10 - 12:40 Core Orientation with IPAM Staff
12:40 - 2:00 Lunch (on your own)

Afternoon Session

2:00 - 3:15
3:25 - 3:45 Break
3:45 - 5:00

Friday, September 14, 2018

Morning Session

8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 - 10:15
Jeffrey Hittinger (BDC) (Lawrence Livermore National Laboratory)

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

 
10:25 - 10:45 Break
10:45 - 12:00
12:10 - 2:00 Lunch (on your own)

Afternoon Session

2:00 - 3:15
Jeffrey Hittinger (BDC) (Lawrence Livermore National Laboratory)

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

 
3:25 - 3:45 Break
3:45 - 5:00

Monday, September 17, 2018

Morning Session

8:00 - 9:00 Breakfast (hosted by IPAM)
9:00 - 10:15
 
10:25 - 10:45 Break
10:45 - 12:00
12:10 - 2:00 Lunch (on your own)

Afternoon Session

2:00 - 3:15
Karen Willcox (University of Texas at Austin)

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

 
3:25 - 3:45 Break
3:45 - 5:00

Tuesday, September 18, 2018

Morning Session

8:00 - 9:00 Breakfast (hosted by IPAM)
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

 
10:25 - 10:45 Break
10:45 - 12:00
Prabhat (NERSC)

Introduction to Machine Learning

 
12:10 - 2:00 Lunch (on your own)

Afternoon Session

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

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

 
3:25 - 3:45 Break
3:45 - 5:00
Prabhat (NERSC)

Deep Learning for Science: current status and future directions