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

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

Part of the Long Program Science at Extreme Scales: Where Big Data Meets Large-Scale Computing
September 13 - 18, 2018

Schedule

All times in this Schedule are Pacific Time (PT)

Friday, September 14, 2018

Morning Session

01:30-01:30
Frank Jenko (Max Planck Institute for Plasma Physics/TU Munich)
Long Program Overview

Afternoon Session

21:40-21:40
Claudia Draxl (Humboldt-Universität)
Boosting materials science through BD & HPC
22:20-22:20
Frank Jenko (Max Planck Institute for Plasma Physics/TU Munich)
Boosting plasma science through BD & HPC
23:00-23:00
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
Big Data meets High-Performance Computing: An exciting new frontier

Thursday, September 13, 2018

Morning Session

08:00-08:50
Check-In/Light Breakfast (Hosted by IPAM)
08:50-09:00
Welcome and Opening Remarks
09:00-10:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
The Challenges of Large-Scale Simulation
10:25-10:45
Break
10:45-12:00
Michael Schulte (AMD)
Hardware Aspects of Extreme Scale Systems for HPC and Big Data, part 1

Afternoon Session

12:10-12:40
Core Orientation with IPAM Staff
12:40-14:00
Lunch (on your own)
14:00-15:15
René Jäkel (Technische Universität Dresden )
Overview: challenges and research directions in large scale data analytics and management
15:25-15:45
Break
15:45-17:00
Michael Schulte (AMD)
Hardware Aspects of Extreme Scale Systems for HPC and Big Data, part 2

Friday, September 14, 2018

Morning Session

08:00-09:00
Check-in/Breakfast (hosted by IPAM)
09:00-10:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
High-Performance Numerical Algorithms for Large-Scale Simulation
10:25-10:45
Break
10:45-12:00
Alexander Szalay (John Hopkins University)
Data Driven Discoveries in Science: from SkyServer to the SciServer, part 1

Afternoon Session

12:10-14:00
Lunch (on your own)
14:00-15:15
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
Build It and They Will Come: How Hardware Influences Large-Scale Simulation
15:25-15:45
Break
15:45-17:00
Alexander Szalay (John Hopkins University)
Data Driven Discoveries in Science: from SkyServer to the SciServer, part 2

Monday, September 17, 2018

Morning Session

08:00-09:00
Check-in/Breakfast (hosted by IPAM)
09:00-10:15
René Jäkel (Technische Universität Dresden )
Current trends in big data analysis: second generation data processing
10:25-10:45
Break
10:45-12:00
Brian Van Essen (Lawrence Livermore National Laboratory)
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set

Afternoon Session

12:10-14:00
Lunch (on your own)
14:00-15:15
Karen Willcox (University of Texas at Austin)
Model order reduction: Approximate yet accurate surrogates for large-scale simulation
15:25-15:45
Break
15:45-17:00
René Jäkel (Technische Universität Dresden )
Introduction to data analytics with Apache Spark + Hands-On/Walkthrough part

Tuesday, September 18, 2018

Morning Session

08:00-09:00
Check-in/Breakfast (hosted by IPAM)
09:00-10:15
Karen Willcox (University of Texas at Austin)
Multi-fidelity approaches: Fusing models and data to achieve efficient design, optimization and uncertainty quantification
10:25-10:45
Break
10:45-12:00
Prabhat (Lawrence Berkeley Laboratory)
Introduction to Machine Learning

Afternoon Session

12:10-14:00
Lunch (on your own)
14:00-15:15
Brian Van Essen (Lawrence Livermore National Laboratory)
Deep Learning for Scientific Computing: Recent Success, challenges, and next steps
15:25-15:45
Break
15:45-17:00
Prabhat (Lawrence Berkeley Laboratory)
Deep Learning for Science: current status and future directions
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