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ORCIDChoong-Seock Chang
- > Home > Persons > Choong-Seock Chang
Publications
- 2023
[c17]Tania Banerjee, Jaemoon Lee, Jong Choi, Qian Gong, Jieyang Chen, Choong-Seock Chang, Scott Klasky, Anand Rangarajan, Sanjay Ranka:
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest. e-Science 2023: 1-10- [i4]Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky:
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting. CoRR abs/2311.01288 (2023) - 2022
- [j11]Eric Suchyta
, Scott Klasky, Norbert Podhorszki, Matthew Wolf, Abolaji D. Adesoji, Choong-Seock Chang, Jong Choi, Philip E. Davis, Julien Dominski, Stéphane Ethier, Ian T. Foster, Kai Germaschewski, Berk Geveci, Chris Harris, Kevin A. Huck, Qing Liu, Jeremy Logan, Kshitij Mehta, Gabriele Merlo, Shirley V. Moore, Todd S. Munson, Manish Parashar, David Pugmire, Mark S. Shephard, Cameron W. Smith, Pradeep Subedi, Lipeng Wan, Ruonan Wang, Shuangxi Zhang:
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. Int. J. High Perform. Comput. Appl. 36(1): 106-128 (2022) - [c16]Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky:
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER 2022: 218-229 - 2021
- [c15]Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky:
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC 2021: 22-39 - 2020
- [c14]Ralph Kube, Randy Michael Churchill, Jong Choi, Ruonan Wang, Minjun Choi, Scott Klasky, Choong-Seock Chang:
Near real-time analysis of big fusion data on HPC systems. UrgentHPC@SC 2020: 55-63 - [c13]Randy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky:
Machine Learning for the Complex, Multi-scale Datasets in Fusion Energy. SMC 2020: 269-284 - [c12]Jong Choi, Ruonan Wang, Randy Michael Churchill, Ralph Kube, Minjun Choi, Jinseop Park, Jeremy Logan, Kshitij Mehta, Greg Eisenhauer, Norbert Podhorszki, Matthew Wolf, Choong-Seock Chang, Scott Klasky:
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing. SMC 2020: 285-299 - 2018
- [c10]Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood:
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience 2018: 442-452 - [c9]Mark Kim, James Kress, Jong Choi, Norbert Podhorszki, Scott Klasky, Matthew Wolf, Kshitij Mehta, Kevin A. Huck, Berk Geveci, Sujin Phillip, Robert Maynard, Hanqi Guo, Tom Peterka, Kenneth Moreland, Choong-Seock Chang, Julien Dominski, Michael Churchill, David Pugmire:
In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned. ISC Workshops 2018: 230-242 - 2017
- [c8]Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang:
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER 2017: 587-591 - 2016
- [j4]Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data 2(3): 262-275 (2016) - [c7]Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero:
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. DIDC@HPDC 2016: 37-44 - 2015
- [c6]Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Melissa Romanus, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Exploring Data Staging Across Deep Memory Hierarchies for Coupled Data Intensive Simulation Workflows. IPDPS 2015: 1033-1042 - [i1]Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR abs/1505.03532 (2015) - 2014
- [c5]Tong Jin, Fan Zhang, Qian Sun, Hoang Bui, Norbert Podhorszki, Scott Klasky, Hemanth Kolla, Jacqueline Chen, Robert Hager, Choong-Seock Chang, Manish Parashar:
Leveraging deep memory hierarchies for data staging in coupled data-intensive simulation workflows. CLUSTER 2014: 268-269 - 2013
- [j2]Sriram Lakshminarasimhan, Neil Shah, Stéphane Ethier, Seung-Hoe Ku, Choong-Seock Chang, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISABELA for effective in situ compression of scientific data. Concurr. Comput. Pract. Exp. 25(4): 524-540 (2013) - [j1]John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, David A. Boyuka II, Eric R. Schendel, Neil Shah, Stéphane Ethier, Choong-Seock Chang, Jackie Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
ALACRITY: Analytics-Driven Lossless Data Compression for Rapid In-Situ Indexing, Storing, and Querying. Trans. Large Scale Data Knowl. Centered Syst. 10: 95-114 (2013) - 2012
- [c4]John Jenkins, Isha Arkatkar, Sriram Lakshminarasimhan, Neil Shah, Eric R. Schendel, Stéphane Ethier, Choong-Seock Chang, Jacqueline H. Chen, Hemanth Kolla, Scott Klasky, Robert B. Ross, Nagiza F. Samatova:
Analytics-Driven Lossless Data Compression for Rapid In-situ Indexing, Storing, and Querying. DEXA (2) 2012: 16-30 - [c3]Eric R. Schendel, Ye Jin, Neil Shah, Jackie Chen, Choong-Seock Chang, Seung-Hoe Ku, Stéphane Ethier, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISOBAR Preconditioner for Effective and High-throughput Lossless Data Compression. ICDE 2012: 138-149 - 2011
- [c2]Ye Jin, Sriram Lakshminarasimhan, Neil Shah, Zhenhuan Gong, Choong-Seock Chang, Jackie Chen, Stéphane Ethier, Hemanth Kolla, Seung-Hoe Ku, Scott Klasky, Robert Latham, Robert B. Ross, Karen Schuchardt, Nagiza F. Samatova:
S-preconditioner for Multi-fold Data Reduction with Guaranteed User-Controlled Accuracy. ICDM 2011: 290-299 - [c1]Sriram Lakshminarasimhan, John Jenkins, Isha Arkatkar, Zhenhuan Gong, Hemanth Kolla, Seung-Hoe Ku, Stéphane Ethier, Jackie Chen, Choong-Seock Chang, Scott Klasky, Robert Latham, Robert B. Ross, Nagiza F. Samatova:
ISABELA-QA: query-driven analytics with ISABELA-compressed extreme-scale scientific data. SC 2011: 31:1-31:11
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