Choong-Seock Chang
Orcid: 0000-0002-3346-5731
According to our database1,
Choong-Seock Chang
authored at least 31 papers
between 2011 and 2023.
Collaborative distances:
Collaborative distances:
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Bibliography
2023
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.
CoRR, 2023
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
Int. J. High Perform. Comput. Appl., 2021
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
2020
Moment preserving constrained resampling with applications to particle-in-cell methods.
J. Comput. Phys., 2020
Training neural networks under physical constraints using a stochastic augmented Lagrangian approach.
CoRR, 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 2020
2019
ContourNet: Salient Local Contour Identification for Blob Detection in Plasma Fusion Simulation Data.
Proceedings of the Advances in Visual Computing, 2019
2018
Proceedings of the High Performance Computing, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2017
Scalable Visualization of Time-varying Multi-parameter Distributions Using Spatially Organized Histograms.
IEEE Trans. Vis. Comput. Graph., 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016
A new hybrid-Lagrangian numerical scheme for gyrokinetic simulation of tokamak edge plasma.
J. Comput. Phys., 2016
A fully non-linear multi-species Fokker-Planck-Landau collision operator for simulation of fusion plasma.
J. Comput. Phys., 2016
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016
2015
NERSC's Impact on Advances of Global Gyrokinetic PIC Codes for Fusion Energy Research.
Comput. Sci. Eng., 2015
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows.
Proceedings of the 2015 IEEE International Parallel and Distributed Processing Symposium, 2015
2014
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014
2013
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large Scale Data Knowl. Centered Syst., 2013
Concurr. Comput. Pract. Exp., 2013
2012
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying.
Proceedings of the Database and Expert Systems Applications, 2012
2011
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data.
Proceedings of the Conference on High Performance Computing Networking, 2011
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011