Daoce Wang

According to our database, Daoce Wang authored at least 14 papers between 2017 and 2024.

Collaborative distances:

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

2024

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

IEEE Trans. Parallel Distributed Syst., March, 2024

SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.

Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao

CoRR, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 2024

Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience.

Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.

Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2024

An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction.

Yanni Etchi, Daoce Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens, David H. Rogers

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.

Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao

CoRR, 2023

AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.

Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukic, Franck Cappello, James P. Ahrens, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, 2023

Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.

Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2022

Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao

CoRR, 2022

TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

2021

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.

Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao

Proceedings of the IEEE International Conference on Cluster Computing, 2021

2017

Research on the Monitoring Method of the Road Communication Network Quality Based on Vehicle Borne Internet of Things.

Baihua Ji, Xiao Liu, Tenghui Ke, Rongjie Kuang, Zibin Gao, Daoce Wang

Proceedings of the Communications and Networking, 2017