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Megan Hickman Fulp

Megan Hickman

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2020 – today

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2023
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  - journals/ijhpca/FulpFZSBSC23
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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)
2022
[c5]
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  - conf/bigdataconf/FulpFC22
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Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun:
Estimating Potential Error in Sampling Interpolation. IEEE Big Data 2022: 3153-3162
[c4]
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  - conf/ws-drbsd/NicholsFDC22
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Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun:
Exploring Data Reduction Techniques for Additive Manufacturing Analysis. DRBSD@SC 2022: 21-28
2020
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  - conf/IEEEpact/TianDZRFUJLCTC20
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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
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Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun:
Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData 2020: 2654-2663
[i1]
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  - journals/corr/abs-2007-09625
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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)

2010 – 2019

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2018
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  - conf/issre/HickmanFBBGJD18
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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

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