John P. Clyne - researchr alias

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Viewing Publication 1 - 8 from 8

2023

Lossy Scientific Data Compression With SPERRShaomeng Li, Peter Lindstrom, John P. Clyne. ipps 2023: 1007-1017 [doi]

2022

Development of NCL equivalent serial and parallel python routines for meteorological data analysisJatin Gharat, Bipin Kumar, Leena Ragha, Amit Barve, Shaik Mohammad Jeelani, John P. Clyne. ijhpca, 36(3):337-355, 2022. [doi]

2021

Using Neural Networks for Two Dimensional Scientific Data CompressionLucas Hayne, John P. Clyne, Shaomeng Li. bigdataconf 2021: 2956-2965 [doi]

2018

Data Reduction Techniques for Simulation, Visualization and Data AnalysisShaomeng Li, Nicole Marsaglia, Christoph Garth, J. Woodring, John P. Clyne, Hank Childs. cgf, 37(6):422-447, 2018. [doi]

2017

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation DataAllison H. Baker, Haiying Xu, Dorit M. Hammerling, Shaomeng Li, John P. Clyne. supercomputer 2017: 30-42 [doi]

Achieving Portable Performance For Wavelet Compression Using Data Parallel PrimitivesShaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher M. Sewell, John P. Clyne, Hank Childs. egpgv 2017: 73-81 [doi]

2012

Progressive Data Access for Regular GridsJohn P. Clyne. In E. Wes Bethel, Hank Childs, Charles D. Hansen, editors, High Performance Visualization - Enabling Extreme-Scale Scientific Insight. Chapman and Hall / CRC computational science series, CRC Press, 2012. [doi]

The VAPOR Visualization ApplicationAlan Norton, John P. Clyne. In E. Wes Bethel, Hank Childs, Charles D. Hansen, editors, High Performance Visualization - Enabling Extreme-Scale Scientific Insight. Chapman and Hall / CRC computational science series, CRC Press, 2012. [doi]

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