Jong Youl Choi Contact choij@ornl.gov | 865.241.1436 All Publications Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations Active learning of neural network potentials for rare events DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets User Manual - HydraGNN: Distributed PyTorch Implementation of Multi-Headed Graph Convolutional Neural Networks Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest... Predicting Power Outage During Extreme Weather with EAGLE-I and NWS Datasets An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees A Neural Network Approach to Predict Gibbs Free Energy of Ternary Solid Solutions... Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules... Error-Bounded Learned Scientific Data Compression with Preservation of Derived Quantities... Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems... A codesign framework for online data analysis and reduction Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems... Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression... Co-design Center for Exascale Machine Learning Technologies (ExaLearn)... DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers... A codesign framework for online data analysis and reduction The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science... Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs... Spatial coupling of gyrokinetic simulations, a generalized scheme based on first-principles... Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing... Visualization as a Service for Scientific Data... ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management... Opportunities for Cost Savings with In-Transit Visualization... Pagination Current page 1 Page 2 Page 3 Next page ›› Last page Last » Key Links ORCID Organizations Computing and Computational Sciences Directorate Computer Science and Mathematics Division Mathematics in Computation Section Discrete Algorithms Group