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ORCIDMegan Hickman Fulp
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Journal Articles
- 2023
[j1]Megan Hickman Fulp
, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun:
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37(5): 539-559 (2023)
Conference and Workshop Papers
- 2022
- [c5]Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun:
Estimating Potential Error in Sampling Interpolation. IEEE Big Data 2022: 3153-3162 - [c4]Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun:
Exploring Data Reduction Techniques for Additive Manufacturing Analysis. DRBSD@SC 2022: 21-28 - 2020
- [c3]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15 - [c2]Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun:
Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData 2020: 2654-2663 - 2018
- [c1]Megan Hickman, Dakota Fulp, Elisabeth Baseman, Sean Blanchard, Hugh Greenberg, William M. Jones, Nathan DeBardeleben:
Enhancing HPC System Log Analysis by Identifying Message Origin in Source Code. ISSRE Workshops 2018: 100-105
Informal and Other Publications
- 2020
- [i1]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020)
Coauthor Index
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