Shaomeng Li
Cited by
Cited by
Error-controlled lossy compression optimized for high compression ratios of scientific datasets
X Liang, S Di, D Tao, S Li, S Li, H Guo, Z Chen, F Cappello
2018 IEEE International Conference on Big Data (Big Data), 438-447, 2018
Vapor: A visualization package tailored to analyze simulation data in earth system science
S Li, S Jaroszynski, S Pearse, L Orf, J Clyne
Atmosphere 10 (9), 488, 2019
Data Reduction Techniques for Simulation, Visualization, and Data Analysis
S Li, N Marsaglia, C Garth, J Woodring, J Clyne, H Childs
Computer Graphics Forum, 2018
Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data
A Baker, H Xu, D Hammerling, S Li, J Clyne
The 1st International Workshop on Data Reduction for Big Scientific Data …, 2017
Evaluating the Efficacy of Wavelet Configurations on Turbulent-Flow Data
S Li, K Gruchalla, K Potter, J Clyne, H Childs
IEEE Symposium on Large Data Analysis and Visualization (LDAV), 81--89, 2015
Spatiotemporal wavelet compression for visualization of scientific simulation data
S Li, S Sane, L Orf, P Mininni, J Clyne, H Childs
2017 ieee international conference on cluster computing (cluster), 216-227, 2017
Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives
S Li, N Marsaglia, V Chen, C Sewell, J Clyne, H Childs
Eurographics Symposium on Parallel Graphics and Visualization, 2017
Performance Impacts of In Situ Wavelet Compression on Scientific Simulations
S Li, J Clyne, M Larsen, H Childs
ISAV'17 Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale …, 2017
Lossy scientific data compression with SPERR
S Li, P Lindstrom, J Clyne
2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2023
Using neural networks for two dimensional scientific data compression
L Hayne, J Clyne, S Li
2021 IEEE International Conference on Big Data (Big Data), 2956-2965, 2021
Exploring hierarchical visualization designs using phylogenetic trees
S Li, RJ Crouser, G Griffin, C Gramazio, HJ Schulz, H Childs, R Chang
Visualization and Data Analysis 2015 9397, 68-81, 2015
HashFight: A platform-portable hash table for multi-core and many-core architectures
B Lessley, S Li, H Childs
IS&T International Symposium on Electronic Imaging 2020, 2020
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.(2018)
X Liang, S Di, D Tao, S Li, S Li, H Guo, Z Chen, F Cappello
Enabling explorative visualization with full temporal resolution via in situ calculation of temporal intervals
N Marsaglia, S Li, H Childs
International Conference on High Performance Computing, 273-293, 2018
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.
N Marsaglia, S Li, K Belcher, M Larsen, H Childs
Eurographics Symposium on Parallel Graphics and Visualization, 1-5, 2019
In situ wavelet compression on supercomputers for post hoc exploration
S Li, J Clyne, H Childs
In Situ Visualization for Computational Science, 37-59, 2022
Optimization of DNS code and visualization of entrainment and mixing phenomena at cloud edges
B Kumar, M Rehme, N Suresh, N Cherukuru, S Jaroszynski, S Li, ...
Parallel Computing 107, 102811, 2021
Evaluating the Efficacy of Wavelet Compression for Turbulent-Flow Data Visualization
S Li
An analytical approach for the creative design of new visualizations
G Griffin, S Li, C Gramazio, R Chang
IEEE InfoVis 11, 2011
Engaging community development in an established earth sciences visualization tool: VAPOR3.
J Clyne, S Jaroszynski, S Li, S Pearse
Geophysical Research Abstracts 21, 2019
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