Daoce Wang

26 papers A* 1A 6B 2C 1Journal 11Unranked 5
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
ACM Comput. Surv.
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, Shihui Song, Jon Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
2025 B conf
High-performance Visual Semantics Compression for AI-Driven Science.
PPoPP
Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao
2025 A conf
NeurLZ: An Online Neural Learning-based Method to Enhance Scientific Lossy Compression.
ICS
Wenqi Jia, Zhewen Hu, Youyuan Liu, Boyuan Zhang, Jinzhen Wang, Jinyang Liu, Wei Niu, Stavros Kalafatis, Junzhou Huang, Sian Jin, Daoce Wang, Jiannan Tian, Miao Yin
2025 A conf
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 — conf
Secure In-Storage Execution of VTK Workloads on Modern Parallel NFS Data Servers.
SC Workshops
Qing Zheng, Brian Atkinson, Jason Lee, Daoce Wang, Gary Grider
2024 A conf
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Tushar M. Athawale, Jiannan Tian, Kai Zhao, Zarija Lukic, Axel Huebl, Zhe Wang, James P. Ahrens, Dingwen Tao
2024 J jnl
A Survey on Error-Bounded Lossy Compression for Scientific Datasets.
CoRR
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
2024 — conf
Accelerating Viz Pipelines Using Near-Data Computing: An Early Experience.
SC Workshops
Qing Zheng, Brian Atkinson, Daoce Wang, Jason Lee, John Patchett, Dominic Manno, Gary Grider
2024 — conf
An Exploration of How Volume Rendering is Impacted by Lossy Data Reduction.
SC Workshops
Yanni Etchi, Daoce Wang, Pascal Grosset, Terece L. Turton, James P. Ahrens, David H. Rogers
2024 A conf
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
EuroSys
Sian Jin, Sheng Di, Frédéric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello
2024 A* conf
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.
NeurIPS
Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2024 J jnl
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.
CoRR
Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2024 J jnl
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
IEEE Trans. Parallel Distributed Syst.
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2023 A conf
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
SC
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
2023 J jnl
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, Sian Jin, Houjun Tang, Jean M. Sexton, Sheng Di, Zarija Lukic, Kai Zhao, Bo Fang, Franck Cappello, James P. Ahrens, Dingwen Tao
2023 — conf
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
SC Workshops
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Jiannan Tian, James P. Ahrens, Dingwen Tao
2023 J jnl
TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James P. Ahrens, Dingwen Tao
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2022 A conf
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
HPDC
Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, James P. Ahrens, Dingwen Tao
2021 C conf
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CLUSTER
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2021 J jnl
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
CoRR
Bo Fang, Daoce Wang, Sian Jin, Quincey Koziol, Zhao Zhang, Qiang Guan, Suren Byna, Sriram Krishnamoorthy, Dingwen Tao
2017 — conf
Research on the Monitoring Method of the Road Communication Network Quality Based on Vehicle Borne Internet of Things.
ChinaCom (2)
Baihua Ji, Xiao Liu, Tenghui Ke, Rongjie Kuang, Zibin Gao, Daoce Wang