Michael Churchill

According to our database, Michael Churchill authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.

Junmin Gu, Paul Lin, Kesheng Wu, Seung-Hoe Ku, Choong-Seock Chang, Randy Michael Churchill, Jong Choi, Norbert Podhorszki, Scott Klasky

CoRR, 2023

2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

2020

Training neural networks under physical constraints using a stochastic augmented Lagrangian approach.

Alp Dener, Marco Andres Miller, Randy Michael Churchill, Todd S. Munson, Choong-Seock Chang

CoRR, 2020

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

Randy Michael Churchill, Jong Choi, Ralph Kube, Choong-Seock Chang, Scott Klasky

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.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020

Leading magnetic fusion energy science into the big-and-fast data lane.

Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

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

Ralph Kube, Randy Michael Churchill, Jong Choi, Ruonan Wang, Minjun Choi, Scott Klasky, Choong-Seock Chang

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.

Martin Imre, Jun Han, Julien Dominski, Michael Churchill, Ralph Kube, Choong-Seock Chang, Tom Peterka, Hanqi Guo, Chaoli Wang

Proceedings of the Advances in Visual Computing, 2019

2018

Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.

James Kress, Jong Choi, Scott Klasky, Michael Churchill, Hank Childs, David Pugmire

Proceedings of the High Performance Computing, 2018

In Situ Analysis and Visualization of Fusion Simulations: Lessons Learned.

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

Proceedings of the High Performance Computing, 2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.

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

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.

Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky

IEEE Trans. Big Data, 2016

Preparing for In Situ Processing on Upcoming Leading-edge Supercomputers.

James Kress, Randy Michael Churchill, Scott Klasky, Mark Kim, Hank Childs, David Pugmire

Supercomput. Front. Innov., 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.

David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.

Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky

CoRR, 2015