Big Data Meets Computation - IPAM

Big Data Meets Computation

January 30 - February 3, 2017

Schedule

All times in this Schedule are Pacific Time (PT)

Monday, January 30, 2017

Morning Session

08:00-08:55
Check-In/Light Breakfast (Hosted by IPAM)
08:55-09:00
Welcome and Opening Remarks
09:00-09:50
Frank Jenko (Max Planck Institute for Plasma Physics/TU Munich)
Predictive Plasma Simulations at the Exascale: Scalable Algorithms for HPC and Data Analytics
10:00-10:15
Break
10:15-11:05
Hans-Joachim Bungartz (Technical University Munich (TUM))
Notions of Efficiency – the Role of Algorithm and Performance Engineering
11:15-11:30
Break
11:30-12:20
Rick Archibald (Oak Ridge National Laboratory)
Sparse sampling methods for large scale experimental data

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:20
Alan Lee (Institute for Pure and Applied Mathematics)
Big Compute: Under the Hood
15:30-16:00
Break
16:00-16:50
Tom Abel (Stanford University)
Making Sense of our Universe with Supercomputers
17:00-18:30
Poster Session & Reception (Hosted by IPAM)

Tuesday, January 31, 2017

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Joachim Buhmann (ETH Zürich)
Resilient algorithmics: How much relevant information can be extracted from my data?
10:00-10:15
Break
10:15-11:05
George Biros (University of Texas at Austin)
Scalable approximation algorithms for kernel matrices
11:15-11:30
Break
11:30-12:20
Frank Wuerthwein (University of California, San Diego (UCSD))
Big Data at the LHC

Afternoon Session

12:30-14:00
Lunch (on your own)
14:00-14:50
Claudia Draxl (Humboldt-Universität)
From high-performance computing to big-data analytics of materials science and back
15:00-15:15
Break
15:15-16:05
Clayton Webster (Oak Ridge National Laboratory)
Polynomial approximation via compressed sensing of high dimension systems
16:15-16:30
Break
16:30-17:20
Stan Osher (Institute for Pure and Applied Mathematics)
Accurate reconstruction of sparsely sub sampled data

Wednesday, February 1, 2017

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Tomo-Hiko Watanabe (Nagoya University)
Data communications and analysis in simulation of plasma turbulence on a five-dimensional phase space
10:00-10:15
Break
10:15-11:05
Thomas Hou (California Institute of Technology)
Localized operator compression for elliptic operators
11:15-11:30
Break
11:30-12:20
Gregory Beylkin (University of Colorado Boulder)
Representations of operators in MADNESS (Multiresolution ADaptive Numerical Environment for Scientific Simulation)

Afternoon Session

12:30-14:00
Lunch (on your own)
14:00-14:50
Shi Jin (University of Wisconsin-Madison)
Solving Multiscale Kinetic Equations with Uncertainty by Asymptotic-Preserving Methods with Sparse Grids.
15:00-15:15
Break
15:15-16:05
Jianfeng Lu (Duke University Medical Center)
Stochastic algorithms for high dimensional PDEs
16:15-16:30
Break
16:30-17:20
Lexing Ying (Stanford University)
Tensor network skeletonization

Thursday, February 2, 2017

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Volker Markl (Technische Universität Berlin)
Scalable Data Science and Apache Flink: Key Challenges and (Some) Solutions
10:00-10:15
Break
10:15-11:05
Dirk Pflüger (Universität Stuttgart)
Scalability and Algorithm-Based Fault Tolerance for Plasma Physics Simulations with GENE
11:15-11:30
Break
11:30-12:20
Tamara Kolda (Sandia National Laboratories)
An Overview of Tensor Decompositions for Data Analysis, with Emphasis on Computation and Scalability

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-15:20
Francois Gygi (University of California, Davis (UC Davis))
Compression algorithms for Electronic Structure Computations
15:30-15:45
Break
15:45-16:35
Eric Sonnendruecker (Max-Planck-Institut)
Vlasov simulations in 6D phase space based on compressed data formats

Friday, February 3, 2017

Morning Session

08:00-09:00
Check-In/Breakfast (Hosted by IPAM)
09:00-09:50
Jeffrey Hittinger (Lawrence Livermore National Laboratory)
Making Every Bit Count: Variable Precision?
10:00-10:15
Break
10:15-11:05
Shenshen Wang (University of California, Los Angeles (UCLA))
Bridging big data and small data: a new effort in immunophysics
11:15-11:30
Break
11:30-12:20
Jaime Marian (University of California, Los Angeles (UCLA))
Physics-based modeling of materials and uncertainty quantification as drivers for exascale computing

Afternoon Session

12:30-14:30
Lunch (on your own)
14:30-16:00
Open Discussion
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