Workshop: The 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5)
Event TypeWorkshop
Registration Categories
Big Data
Data Analytics
Data Management
TimeSunday, 17 November 20199am - 5:30pm
DescriptionA growing disparity between simulation speeds and I/O rates makes it increasingly infeasible for applications to save all results for analysis. In this new world, applications must increasingly perform online data analysis and reduction—tasks that introduce algorithmic, implementation, and programming model challenges that are unfamiliar to many scientists and that have major implications for the design of various elements of exascale systems.

This trend has spurred interest in online data analysis and reduction methods, motivated by a desire to conserve I/O bandwidth, storage, and/or power; increase accuracy of data analysis results; and/or make optimal use of parallel platforms, among other factors. This requires our community to understand a clear yet complex relationships between application design, data analysis and reduction methods, programming models, system software, hardware, and other elements of a next-generation High Performance Computer, particularly given constraints such as applicability, fidelity, performance portability, and power efficiency.

There are at least three important topics that our community is striving to answer: (1) whether several orders of magnitude of data reduction is possible for exascale sciences; (2) understanding the performance and accuracy trade-off of data reduction; and (3) solutions to effectively reduce data while preserving the information hidden in large scientific data. Tackling these challenges requires expertise from computer science, mathematics, and application domains to study the problem holistically, and develop solutions and hardened software tools that can be used by production applications.
9:00am - 9:10amThe 5th International Workshop on Data Analysis and Reduction for Big Scientific Data (DRBSD-5)
9:10am - 9:40amDRBSD-5 Keynote Talk: Data Analysis through Advanced Scientific Computing Research at the Department of Energy
9:40am - 10:00amUnderstanding Performance-Quality Trade-offs in Scientific Visualization Workflows with Lossy Compression
10:00am - 10:30amDRBSD-5 Morning Break
10:30am - 11:00amDRBSD-5 Invited Talk 1: Data Challenges for Nuclear Femtography
11:00am - 11:20amA Collaborative Effort to Improve Lossy Compression Methods for Climate Data
11:20am - 11:50amDRBSD-5 Invited Talk 2: Changing Science through Online Analysis
11:50am - 12:10pmPAVE: An In Situ Framework for Scientific Visualization and Machine Learning Coupling
12:10pm - 12:30pmA Co-Design Study Of Fusion Whole Device Modeling Using Code Coupling
12:30pm - 2:00pmDRBSD-5 Lunch Break
2:00pm - 2:30pmDRBSD Keynote Talk 2: Data before Data in Fusion Science
2:30pm - 3:00pmDRBSD-5 Invited Talk 3: Scientific Data at Exascale: Architecting Systems for Performance, Productivity, and Parallelism
3:00pm - 3:30pmDRBSD-5 Afternoon Break
3:30pm - 4:00pmDRBSD-5 Invited Talk 4: High Performance Computing at BP
4:00pm - 4:30pmDRBSD-5 Invited Talk: In Situ Data Analytics for Next Generation Molecular Dynamics Workflows
4:30pm - 4:50pmAnalyzing the Performance and Accuracy of Lossy Checkpointing on Sub-Iteration of NWChem
4:50pm - 5:10pmUsing Machine Learning to Reduce Ensembles of Geological Models for Oil and Gas Exploration
5:10pm - 5:30pmExploring Lossy Compression of Gene Expression Matrices
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