Dingwen Tao

Dingwen Tao

Washington State University

H-index: 28

North America-United States

About Dingwen Tao

Dingwen Tao, With an exceptional h-index of 28 and a recent h-index of 27 (since 2020), a distinguished researcher at Washington State University, specializes in the field of High Performance Computing, Data Reduction, Deep Learning, Systems for ML, GPU.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction

Concealing compression-accelerated i/o for hpc applications through in situ task scheduling

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Amric: A novel in situ lossy compression framework for efficient i/o in adaptive mesh refinement applications

Dingwen Tao Information

University

Position

___

Citations(all)

2306

Citations(since 2020)

2146

Cited By

728

hIndex(all)

28

hIndex(since 2020)

27

i10Index(all)

50

i10Index(since 2020)

48

Email

University Profile Page

Washington State University

Google Scholar

View Google Scholar Profile

Dingwen Tao Skills & Research Interests

High Performance Computing

Data Reduction

Deep Learning

Systems for ML

GPU

Top articles of Dingwen Tao

Title

Journal

Author(s)

Publication Date

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

arXiv preprint arXiv:2404.02840

Sheng Di

Jinyang Liu

Kai Zhao

Xin Liang

Robert Underwood

...

2024/4/3

Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases

Yang Shi

Xiangyu Zou

Xinyu Chen

Sian Jin

Dingwen Tao

...

2024/3/19

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training

Haoyu Ma

Chengming Zhang

Xiaolong Ma

Geng Yuan

Wenkai Zhang

...

2024/1/8

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction

Chenxi Li

Boyuan Zhang

Yongqiang Duan

Yang Li

Zuochang Ye

...

2024/6/23

Concealing compression-accelerated i/o for hpc applications through in situ task scheduling

EuroSys 2024

Sian Jin

Sheng Di

Frédéric Vivien

Daoce Wang

Yves Robert

...

2024/4/22

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data

arXiv preprint arXiv:2404.13470

Wenqi Jia

Sian Jin

Jinzhen Wang

Wei Niu

Dingwen Tao

...

2024/4/20

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

The 32nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC 2023).

Boyuan Zhang

Jiannan Tian

Sheng Di

Xiaodong Yu

Yunhe Feng

...

2023/4/25

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

...

2023/11/12

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

IEEE Transactions on Parallel and Distributed Systems

Daoce Wang

Jesus Pulido

Pascal Grosset

Sian Jin

Jiannan Tian

...

2023/12/6

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs

Chengming Zhang

Shaden Smith

Baixi Sun

Jiannan Tian

Jonathan Soifer

...

2023/4/14

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications

arXiv preprint arXiv:2311.05782

Bo Fang

Xinyi Li

Harvey Dam

Cheng Tan

Siva Kumar Sastry Hari

...

2023/11/9

Analyzing impact of data reduction techniques on visualization for amr applications using amrex framework

Daoce Wang

Jesus Pulido

Pascal Grosset

Jiannan Tian

James Ahrens

...

2023/11/12

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs

Boyuan Zhang

Jiannan Tian

Sheng Di

Xiaodong Yu

Martin Swany

...

2023/4/14

HQ-Sim: High-performance State Vector Simulation of Quantum Circuits on Heterogeneous HPC Systems

Boyuan Zhang

Bo Fang

Qiang Guan

Ang Li

Dingwen Tao

2023/8/10

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors

Chengming Zhang

Baixi Sun

Xiaodong Yu

Zhen Xie

Weijian Zheng

...

2023/11/12

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks

Proceedings of the AAAI Conference on Artificial Intelligence

Jinqi Xiao

Chengming Zhang

Yu Gong

Miao Yin

Yang Sui

...

2023/6/26

Carbon Emissions of Quantum Circuit Simulation: More than You Would Think

arXiv preprint arXiv:2307.05510

Jinyang Li

Qiang Guan

Dingwen Tao

Weiwen Jiang

2023/7/4

MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation

Boyuan Zhang

Bo Fang

Qiang Guan

Ang Li

Dingwen Tao

2023/11/12

FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data

arXiv preprint arXiv:2312.10301

Xinyu Chen

Jiannan Tian

Ian Beaver

Cynthia Freeman

Yan Yan

...

2023/12/16

TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition

Lizhi Xiang

Miao Yin

Chengming Zhang

Aravind Sukumaran-Rajam

P Sadayappan

...

2023/2/25

See List of Professors in Dingwen Tao University(Washington State University)

Co-Authors

H-index: 43
Zizhong (Jeffrey) Chen

Zizhong (Jeffrey) Chen

University of California, Riverside

H-index: 29
Xin Liang

Xin Liang

Missouri University of Science and Technology

H-index: 17
Guanpeng Li

Guanpeng Li

University of Iowa

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