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 (ISSRE Workshops, 2018)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

Combining Spatial and Temporal Properties for Improvements in Data Reduction. - Megan Hickman Fulp; Ayan Biswas; Jon C. Calhoun (IEEE BigData, 2020)

Estimating Potential Error in Sampling Interpolation. - Megan Hickman Fulp; Dakota Fulp; Jon C. Calhoun (IEEE Big Data, 2022)

Exploring Data Reduction Techniques for Additive Manufacturing Analysis. - Coleman Nichols; Megan Hickman Fulp; Nathan DeBardeleben; Jon C. Calhoun (DRBSD@SC, 2022)

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., 2023)

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; et al. (Int. J. High Perform. Comput. Appl., 2025)