According to our database1, Choong-Seock Chang authored at least 18 papers between 2011 and 2018.
Legend:Book In proceedings Article PhD thesis Other
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.
Proceedings of the High Performance Computing, 2018
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Scalable Visualization of Time-varying Multi-parameter Distributions Using Spatially Organized Histograms.
IEEE Trans. Vis. Comput. Graph., 2017
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
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. Physics, 2016
A fully non-linear multi-species Fokker-Planck-Landau collision operator for simulation of fusion plasma.
J. Comput. Physics, 2016
Mesh generation for confined fusion plasma simulation.
Eng. Comput. (Lond.), 2016
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows.
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016
NERSC's Impact on Advances of Global Gyrokinetic PIC Codes for Fusion Energy Research.
Computing in Science and Engineering, 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
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows.
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying.
Trans. Large-Scale Data- and Knowledge-Centered Systems, 2013
ISABELA for effective in situ compression of scientific data.
Concurrency and Computation: Practice and Experience, 2013
ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression.
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
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