Shaomeng (Samuel) Li
Title
Cited by
Cited by
Year
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
422018
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
232018
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
202017
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
192015
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
152017
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
132017
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
122019
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
82017
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, 939709, 2015
52015
Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.
N Marsaglia, S Li, K Belcher, M Larsen, H Childs
EGPGV, 1-5, 2019
12019
An analytical approach for the creative design of new visualizations
G Griffin, S Li, C Gramazio, R Chang
IEEE InfoVis 11, 2011
12011
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
2020
Engaging community development in an established earth sciences visualization tool: VAPOR3.
J Clyne, S Jaroszynski, S Li, S Pearse
Geophysical Research Abstracts 21, 2019
2019
Wavelet Compression for Visualization and Analysis on High Performance Computers
S Li
University of Oregon, 2018
2018
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
2018
Introducing VAPOR Version 3
J Clyne, S Jaroszynski, S Li, S Pearse
EGUGA, 18372, 2018
2018
Progress with lossy compression of data from the Community Earth System Model
H Xu, A Baker, D Hammerling, S Li, J Clyne
AGUFM 2017, IN11B-0034, 2017
2017
Compressing climate model simulations: reducing storage burden while preserving information
D Hammerling, A Baker, H Xu, J Clyne, S Li
EGUGA, 10721, 2017
2017
Wavelet Transforms using VTK-m
S Li, CM Sewell
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2016
2016
Evaluating the Efficacy of Wavelet Compression for Turbulent-Flow Data Visualization
S Li
The system can't perform the operation now. Try again later.
Articles 1–20