Ralph Kube

According to our database, Ralph Kube authored at least 7 papers between 2019 and 2022.

Collaborative distances:

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

2022

Machine-Learning enabled analysis of ELM filament dynamics in KSTAR.

Cooper Jacobus, Minjun Choi, Ralph Kube

CoRR, 2022

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.

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

Proceedings of the IEEE International Conference on Cluster Computing, 2022

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