Shaomeng Li

According to our database, Shaomeng Li authored at least 15 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Lossy Scientific Data Compression With SPERR.

Shaomeng Li, Peter Lindstrom, John P. Clyne

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2021

Using Neural Networks for Two Dimensional Scientific Data Compression.

Lucas Hayne, John P. Clyne, Shaomeng Li

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

HashFight: A Platform-Portable Hash Table for Multi-Core and Many-Core Architectures.

Brenton Lessley, Shaomeng Li, Hank Childs

Proceedings of the Visualization and Data Analysis 2020, 2020

2019

Dynamic I/O Budget Reallocation For In Situ Wavelet Compression.

Nicole Marsaglia, Shaomeng Li, Kristi Belcher, Matthew Larsen, Hank Childs

Proceedings of the 19th Eurographics Symposium on Parallel Graphics and Visualization, 2019

2018

Data Reduction Techniques for Simulation, Visualization and Data Analysis.

Shaomeng Li, Nicole Marsaglia, Christoph Garth, Jonathan Woodring, John P. Clyne, Hank Childs

Comput. Graph. Forum, 2018

Enabling Explorative Visualization with Full Temporal Resolution via In Situ Calculation of Temporal Intervals.

Nicole Marsaglia, Shaomeng Li, Hank Childs

Proceedings of the High Performance Computing, 2018

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.

Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Toward a Multi-method Approach: Lossy Data Compression for Climate Simulation Data.

Allison H. Baker, Haiying Xu, Dorit M. Hammerling, Shaomeng Li, John P. Clyne

Proceedings of the High Performance Computing, 2017

Performance Impacts of In Situ Wavelet Compression on Scientific Simulations.

Shaomeng Li, Matthew Larsen, John P. Clyne, Hank Childs

Proceedings of the In Situ Infrastructures on Enabling Extreme-Scale Analysis and Visualization, 2017

Achieving Portable Performance For Wavelet Compression Using Data Parallel Primitives.

Shaomeng Li, Nicole Marsaglia, Vincent Chen, Christopher M. Sewell, John P. Clyne, Hank Childs

Proceedings of the 17th Eurographics Symposium on Parallel Graphics and Visualization, 2017

Spatiotemporal Wavelet Compression for Visualization of Scientific Simulation Data.

Shaomeng Li, Sudhanshu Sane, Leigh Orf, Pablo D. Mininni, John P. Clyne, Hank Childs

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015

Exploring hierarchical visualization designs using phylogenetic trees.

Shaomeng Li, R. Jordan Crouser, Garth Griffin, Connor Gramazio, Hans-Jörg Schulz, Hank Childs, Remco Chang

Proceedings of the Visualization and Data Analysis 2015, 2015

Evaluating the efficacy of wavelet configurations on turbulent-flow data.

Shaomeng Li, Kenny Gruchalla, Kristin Potter, John P. Clyne, Hank Childs

Proceedings of the 5th IEEE Symposium on Large Data Analysis and Visualization, 2015

2003

Exploiting Stateful Inspection of Network Security in Reconfigurable Hardware.

Shaomeng Li, Jim Tørresen, Oddvar Søråsen

Proceedings of the Field Programmable Logic and Application, 13th International Conference, 2003

Exploiting Reconfigurable Hardware for Network Security.

Shaomeng Li, Jim Tørresen, Oddvar Søråsen

Proceedings of the 11th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2003), 2003