Megan Hickman Fulp

According to our database, Megan Hickman Fulp authored at least 7 papers between 2018 and 2025.

Collaborative distances:

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

2025

The ECP ALPINE project: In situ and post hoc visualization infrastructure and analysis capabilities for exascale.

James P. Ahrens, Marco Arienti, Utkarsh Ayachit, Janine Bennett, Roba Binyahib, Ayan Biswas, Peer-Timo Bremer, Eric Brugger, Roxana Bujack, Hamish A. Carr, Jieyang Chen, Hank Childs, Soumya Dutta, Abdelilah Essiari, Berk Geveci, Cyrus Harrison, Subhashis Hazarika, Megan Hickman Fulp, Petar Hristov, Xuan Huang, Joseph A. Insley, Yuya Kawakami, Chloe Keilers, James Kress, Matthew Larsen, Dan Lipsa, Meghanto Majumder, Nicole Marsaglia, Victor A. Mateevitsi, Valerio Pascucci, John Patchett, Saumil Patel, Steve Petruzza, David Pugmire, Silvio Rizzi, David H. Rogers, Oliver Rübel, Jorge Sebastian Salinas, Sudhanshu Sane, Sergei Shudler, Alexandra Stewart, Karen C. Tsai, Terece L. Turton, Will Usher, Zhe Wang, Gunther H. Weber, Corey Wetterer-Nelson, Jonathan Woodring, Abhishek Yenpure

Int. J. High Perform. Comput. Appl., 2025

2023

Accelerated dynamic data reduction using spatial and temporal properties.

Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun

Int. J. High Perform. Comput. Appl., September, 2023

2022

Exploring Data Reduction Techniques for Additive Manufacturing Analysis.

Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Estimating Potential Error in Sampling Interpolation.

Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun

Proceedings of the IEEE International Conference on Big Data, 2022

2020

Combining Spatial and Temporal Properties for Improvements in Data Reduction.

Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.

Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2018

Enhancing HPC System Log Analysis by Identifying Message Origin in Source Code.

Megan Hickman, Dakota Fulp, Elisabeth Baseman, Sean Blanchard, Hugh Greenberg, William M. Jones, Nathan DeBardeleben

Proceedings of the 2018 IEEE International Symposium on Software Reliability Engineering Workshops, 2018