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Research topics

Frequent co-authors 10

Scott Klasky 18 shared papers
Matthew Wolf 11 shared papers
Norbert Podhorszki 10 shared papers
David Pugmire 8 shared papers
James Kress 7 shared papers
Mark Kim 6 shared papers
Choong-Seock Chang 5 shared papers
Eric Suchyta 5 shared papers
Hank Childs 5 shared papers
Jeremy Logan 5 shared papers

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Jong Choi

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data

Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing

Visualization as a Service for Scientific Data

Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy

Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest

Scalable Performance Awareness for In Situ Scientific Applications

A Codesign Framework for Online Data Analysis and Reduction

Near real-time analysis of big fusion data on HPC systems

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age

A synthesized ranking-assisted NSGA-II for interval multi-objective optimization

Fast Algorithms for Scientific Data Compression

An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees

Strategic Development of Information Superhighway in Koera

Comparing Time-to-Solution for In Situ Visualization Paradigms at Scale

Predicting Power Outage During Extreme Weather Events with EAGLE-I and NWS Datasets

Opportunities for Cost Savings with In-Transit Visualization

Comparing the Efficiency of In Situ Visualization Paradigms at Scale