Dingwen Tao

183 papers A* 9A 36B 19C 9Misc 2Journal 87Unranked 20
YearRankTypeTitle / Venue / Authors
2026 B conf
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training.
PPoPP
Yida Gu, Fakang Wang, Jianhao Fu, Zhenhang Sun, Qianyu Zhang, Hairui Zhao, Xingchen Liu, Yang Tian, Wenjing Huang, Zedong Liu, Yifan Chen, Jinwu Yang, Yueyuan Zhou, Qian Zhao, Haoxu Li, Tao Wang, Feng Yu, Zhan Wang, Guangming Tan, Dingwen Tao
2026 B conf
COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training.
PPoPP
Xingchen Liu, Haoran Kong, Hairui Zhao, Shengkai Lyu, Zheng Wei, Man Liu, Xingjian Tian, Liyang Zhao, Zhuohan Chen, Fakang Wang, Zizhong Chen, Zhan Wang, Guangming Tan, Dingwen Tao
2026 J jnl
Computational Burst Buffers: Accelerating HPC I/O via In-Storage Compression Offloading.
IEEE Trans. Parallel Distributed Syst.
Xiang Chen, Bing Lu, Haoquan Long, Huizhang Luo, Yili Ma, Guangming Tan, Dingwen Tao, Fei Wu, Tao Lu
2026 B conf
PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation.
PPoPP
Bing Lu, Zedong Liu, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, Dingwen Tao
2026 A* conf
RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training.
AAAI
Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan, Dingwen Tao, Wen Xia, Zhihong Tian
2026 J jnl
Research Paradigm of Materials Science Tetrahedra with Artificial Intelligence.
CoRR
Shiyun Zhang, Yibo Yao, Haoquan Long, Dingwen Tao, Guangming Tan, Wei-Hua Wang, Yuan-Chao Hu
2026 J jnl
T-FSM: A Scalable Distributed Task-Based System for Frequent Subgraph Pattern Mining from a Big Graph.
ACM Trans. Database Syst.
Lyuheng Yuan, Da Yan, Dingwen Tao, Jiao Han, Saugat Adhikari, Cheng Long, Yang Zhou
2025 A* conf
A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases.
ICDE
Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, Dingwen Tao, Hongpeng Wang, Wen Xia
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 J jnl
Accelerating Parallel Structures in DNNs via Parallel Fusion and Operator Co-Optimization.
ACM Trans. Archit. Code Optim.
Zhanyuan Di, Leping Wang, Zhaojia Ma, En Shao, Jie Zhao, Ziyi Ren, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun
2025 A conf
BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.
ICS
Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao
2025 A* conf
BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization.
DAC
Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian
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 A conf
Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching.
ICS
Yan Wang, Qinghua Guo, Haoran Kong, Kai Sheng, Zhen Xie, Hao Chen, Weile Jia, Dingwen Tao, Xin He
2025 J jnl
ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism.
CoRR
Zedong Liu, Shenggan Cheng, Guangming Tan, Yang You, Dingwen Tao
2025 J jnl
FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression.
IEEE Trans. Parallel Distributed Syst.
Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Ayedh Alharthi, Jiannong Cao, Franck Cappello
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 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
Proc. ACM Manag. Data
Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2025 J jnl
Lossy Compression of Scientific Data: Applications Constrains and Requirements.
CoRR
Franck Cappello, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Paul Christopher O'Grady, Peng Jiang, Shaomeng Li, Erik Lindahl, Peter Lindstrom, Magnus Lundborg, Kai Zhao, Xin Liang, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Dingwen Tao, Jiannan Tian, Robert Underwood, Kazutomo Yoshii, Danylo Lykov, Yuri Alexeev, Kyle Gerard Felker
2025 A conf
MANS: Efficient and Portable ANS Encoding for Multi-Byte Integer Data on CPUs and GPUs.
SC
Wenjing Huang, Jinwu Yang, Shengquan Yin, Haoxu Li, Yida Gu, Zedong Liu, Xing Jing, Zheng Wei, Shiyuan Fu, Hao Hu, Guangming Tan, Dingwen Tao
2025 B conf
Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators.
PPoPP
Zhanyuan Di, Leping Wang, Ziyi Ren, En Shao, Jie Zhao, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun
2025 A* conf
MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression.
DAC
Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin
2025 J jnl
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
Future Gener. Comput. Syst.
Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang
2025 — conf
NAPEH: An Asynchronous and NUMA-Aware KV Store Based on Non-Volatile Memory Architectures.
IPDPS (Workshops)
Yili Ma, Shengquan Yin, Jing Xing, Haoquan Long, Zheng Wei, Guangming Tan, Dingwen Tao
2025 J jnl
Pipelined Dense Symmetric Eigenvalue Decomposition on Multi-GPU Architectures.
CoRR
Hansheng Wang, Ruiyi Zhan, Dajun Huang, Xingchen Liu, Qiao Li, Hancong Duan, Dingwen Tao, Guangming Tan, Shaoshuai Zhang
2025 B conf
SaneKV: A Swift-Adaptive and NUMA-Enhanced Persistent Key-Value Store.
ICPADS
Shengquan Yin, Yili Ma, Jing Xing, Zheng Wei, Dingwen Tao, Guangming Tan
2025 A conf
TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System.
HPDC
Zheng Wei, Jing Xing, Yida Gu, Wenjing Huang, Dong Dai, Guangming Tan, Dingwen Tao
2025 — conf
TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System.
IPDPS (Workshops)
Zheng Wei, Jing Xing, Yida Gu, Guangming Tan, Dingwen Tao
2025 J jnl
TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System.
CoRR
Zheng Wei, Jing Xing, Yida Gu, Wenjing Huang, Dong Dai, Guangming Tan, Dingwen Tao
2025 J jnl
UFN: User-Friendly Navigation Framework Based on Systematic Utilization of User-Friendliness Features from Historical Traffic Data.
J. Comput. Sci. Technol.
Shien Huang, Baixi Sun, Ling-Jun Fan, Xinyu Chen, Jiannan Tian, Qianwen Shen, Huaiyu Wan, Dingwen Tao, Ergude Bao
2025 A conf
What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression.
SC
Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao
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 A conf
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression.
SC
Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
2024 J jnl
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression.
CoRR
Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao
2024 J jnl
BIRD+: Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms.
IEEE Trans. Parallel Distributed Syst.
Donglei Wu, Weihao Yang, Xiangyu Zou, Hao Feng, Dingwen Tao, Shiyi Li, Wen Xia, Binxing Fang
2024 — conf
Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor.
USENIX ATC
Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath
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 J jnl
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data.
Proc. VLDB Endow.
Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Yan Yan, Jianguo Wang, Dingwen Tao
2024 J jnl
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources.
CoRR
Xiyuan Wei, Fanjiang Ye, Ori Yonay, Xingyu Chen, Baixi Sun, Dingwen Tao, Tianbao Yang
2024 J jnl
GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors.
CoRR
Chengming Zhang, Xinheng Ding, Baixi Sun, Xiaodong Yu, Weijian Zheng, Zhen Xie, Dingwen Tao
2024 — conf
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
FlexScience@HPDC
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 J jnl
GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data.
CoRR
Wenqi Jia, Sian Jin, Jinzhen Wang, Wei Niu, Dingwen Tao, Miao Yin
2024 — conf
HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training.
CPAL
Haoyu Ma, Chengming Zhang, Lizhi Xiang, Xiaolong Ma, Geng Yuan, Wenkai Zhang, Shiwei Liu, Tianlong Chen, Dingwen Tao, Yanzhi Wang, Zhangyang Wang, Xiaohui Xie
2024 J jnl
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.
CoRR
Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao
2024 A* conf
MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction.
DAC
Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin
2024 B conf
Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases.
DCC
Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia
2024 J jnl
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework.
CoRR
Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao
2024 J jnl
PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory.
Appl. Intell.
Qianwen Shen, Shien Huang, Baixi Sun, Xinyu Chen, Dingwen Tao, Huaiyu Wan, Ergude Bao
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
2024 C conf
Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience.
CLUSTER
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2024 A conf
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.
SC
Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
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 — conf
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
SC Workshops
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
CoRR
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
2023 — conf
Carbon Emissions of Quantum Circuit Simulation: More than You Would Think.
IGSC
Jinyang Li, Qiang Guan, Dingwen Tao, Weiwen Jiang
2023 A conf
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication.
SC
Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li
2023 J jnl
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst.
Haoyu Jin, Donglei Wu, Shuyu Zhang, Xiangyu Zou, Sian Jin, Dingwen Tao, Qing Liao, Wen Xia
2023 J jnl
FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-Point Data.
CoRR
Xinyu Chen, Jiannan Tian, Ian Beaver, Cynthia Freeman, Yan Yan, Jianguo Wang, Dingwen Tao
2023 A conf
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
HPDC
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 J jnl
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2023 A conf
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
ICS
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 J jnl
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs.
CoRR
Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello
2023 A* conf
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
AAAI
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 J jnl
HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks.
CoRR
Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan
2023 A conf
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
ICS
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023 J jnl
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
CoRR
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023 — conf
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
SC Workshops
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation.
CoRR
Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao
2023 J jnl
MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications.
CoRR
Bo Fang, Xinyi Li, Harvey Dam, Cheng Tan, Siva Kumar Sastry Hari, Timothy Tsai, Ignacio Laguna, Dingwen Tao, Ganesh Gopalakrishnan, Prashant J. Nair, Kevin J. Barker, Ang Li
2023 J jnl
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
2023 A conf
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.
ICS
Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng
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
2023 B conf
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
PPoPP
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2023 J jnl
cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Yafan Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2022 A conf
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
SC
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 J jnl
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
CoRR
Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello
2022 A conf
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
ICS
Heng Zhang, Lingda Li, Hang Liu, Donglin Zhuang, Rui Liu, Chengying Huan, Shuang Song, Dingwen Tao, Yongchao Liu, Charles He, Yanjun Wu, Shuaiwen Leon Song
2022 A conf
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
ICS
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2022 B conf
Efficient Error-Bounded Lossy Compression for CPU Architectures.
MASCOTS
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
2022 B conf
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.
FPL
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022 J jnl
H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture.
CoRR
Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao
2022 B conf
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.
PACT
Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022 J jnl
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.
CoRR
Xinyu Chen, Marco Minutoli, Jiannan Tian, Mahantesh Halappanavar, Ananth Kalyanaraman, Dingwen Tao
2022 A* conf
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
ICDE
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2022 J jnl
MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.
IEEE Trans. Computers
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2022 J jnl
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst.
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
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
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
IPDPS
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs.
CoRR
Cody Rivera, Sheng Di, Jiannan Tian, Xiaodong Yu, Dingwen Tao, Franck Cappello
2022 J jnl
SIMD Lossy Compression for Scientific Data.
CoRR
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon Calhoun, Franck Cappello
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao
2022 J jnl
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets.
CoRR
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
IEEE Syst. J.
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, 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
2022 J jnl
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
CoRR
Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao
2022 J jnl
Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data.
Proc. VLDB Endow.
Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2022 A conf
Ultrafast Error-bounded Lossy Compression for Scientific Datasets.
HPDC
Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello
2021 B conf
A novel memory-efficient deep learning training framework via error-bounded lossy compression.
PPoPP
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2021 A conf
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
HPDC
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 J jnl
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
CoRR
Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens
2021 B conf
An efficient uncertain graph processing framework for heterogeneous architectures.
PPoPP
Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song
2021 J jnl
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR
Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao
2021 J jnl
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
CoRR
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2021 J jnl
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow.
Sian Jin, Chengming Zhang, Xintong Jiang, Yunhe Feng, Hui Guan, Guanpeng Li, Shuaiwen Song, 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
2021 A conf
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2021 J jnl
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 C conf
Exploring Autoencoder-based Error-bounded Compression for Scientific Data.
CLUSTER
Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello
2021 — conf
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
IEEE BigData
Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, Franck Cappello
2021 J jnl
Improving Prediction-Based Lossy Compression Dramatically Via Ratio-Quality Modeling.
CoRR
Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello
2021 C conf
Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CLUSTER
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 Misc conf
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
HiPC
Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 A conf
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
IPDPS
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2021 J jnl
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
CoRR
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2021 J jnl
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
CoRR
Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello
2021 J jnl
TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs.
J. Parallel Distributed Comput.
Cody Rivera, Jieyang Chen, Nan Xiong, Jing Zhang, Shuaiwen Leon Song, Dingwen Tao
2021 — conf
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
DRBSD@SC
Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello
2021 J jnl
cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs.
CoRR
Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello
2021 C conf
cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions.
CLUSTER
Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello
2020 J jnl
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression.
CoRR
Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao
2020 J jnl
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2020 B conf
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
ICPP
Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang
2020 J jnl
ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs.
CoRR
Cody Rivera, Jieyang Chen, Nan Xiong, Shuaiwen Leon Song, Dingwen Tao
2020 — conf
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs.
IEEE BigData
Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao
2020 J jnl
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs.
CoRR
Baodi Shan, Aabid Shamji, Jiannan Tian, Guanpeng Li, Dingwen Tao
2020 J jnl
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR
Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky
2020 J jnl
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst.
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Haijun Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2020 A* conf
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
DAC
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao
2020 J jnl
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
CoRR
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao
2020 J jnl
Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures.
CoRR
Jiannan Tian, Cody Rivera, Sheng Di, Jieyang Chen, Xin Liang, Dingwen Tao, Franck Cappello
2020 — conf
SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors.
IEEE BigData
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, Franck Cappello
2020 A conf
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
HPDC
Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello
2020 J jnl
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
CoRR
Ying Mao, YuQi Fu, Wenjia Zheng, Long Cheng, Qingzhi Liu, Dingwen Tao
2020 A conf
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
IPDPS
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 J jnl
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
CoRR
Sian Jin, Pascal Grosset, Christopher M. Biwer, Jesus Pulido, Jiannan Tian, Dingwen Tao, James P. Ahrens
2020 B conf
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
PACT
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 J jnl
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
CoRR
Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello
2020 B conf
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
PPoPP
Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello
2019 — conf
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
HPCC/SmartCity/DSS
Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao
2019 Misc conf
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
MSST
Xiangyu Zou, Tao Lu, Wen Xia, Xuan Wang, Weizhe Zhang, Sheng Di, Dingwen Tao, Franck Cappello
2019 A conf
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
HPDC
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
CoRR
Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello
2019 J jnl
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound.
IEEE Trans. Parallel Distributed Syst.
Sheng Di, Dingwen Tao, Xin Liang, Franck Cappello
2019 — conf
Elastic Executor Provisioning for Iterative Workloads on Apache Spark.
IEEE BigData
Donglin Yang, Wei Rang, Dazhao Cheng, Yu Wang, Jiannan Tian, Dingwen Tao
2019 C conf
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
CLUSTER
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019 J jnl
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
IEEE Trans. Parallel Distributed Syst.
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2019 — conf
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.
IEEE BigData
YuQi Fu, Shaolun Zhang, Jose Terrero, Ying Mao, Guangya Liu, Sheng Li, Dingwen Tao
2019 A conf
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
SC
Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello
2019 A conf
TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs.
ICS
Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen
2019 J jnl
Use cases of lossy compression for floating-point data in scientific data sets.
Int. J. High Perform. Comput. Appl.
Franck Cappello, Sheng Di, Sihuan Li, Xin Liang, Ali Murat Gok, Dingwen Tao, Chun Hong Yoon, Xin-Chuan Wu, Yuri Alexeev, Frederic T. Chong
2019 J jnl
Z-checker: A framework for assessing lossy compression of scientific data.
Int. J. High Perform. Comput. Appl.
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 C conf
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound.
CLUSTER
Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello
2018 — conf
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
IEEE BigData
Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Shaomeng Li, Hanqi Guo, Zizhong Chen, Franck Cappello
2018 — —
Fault Tolerance for Iterative Methods in High-Performance Computing.
Dingwen Tao
2018 A conf
Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs.
SC
Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen
2018 C conf
Fixed-PSNR Lossy Compression for Scientific Data.
CLUSTER
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 J jnl
Fixed-PSNR Lossy Compression for Scientific Data.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 J jnl
Improving Performance of Iterative Methods by Lossy Checkponting.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 A conf
Improving performance of iterative methods by lossy checkponting.
HPDC
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 J jnl
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
CoRR
Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello
2018 C conf
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
CLUSTER
Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello
2017 — conf
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.
Euro-Par
Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
2017 A conf
Correcting soft errors online in fast fourier transform.
SC
Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen
2017 — conf
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
ISC Workshops
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 — conf
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations.
IEEE BigData
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 A conf
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
IPDPS
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 J jnl
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
CoRR
Dingwen Tao, Sheng Di, Zizhong Chen, Franck Cappello
2017 B conf
Silent Data Corruption Resilient Two-sided Matrix Factorizations.
PPoPP
Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen
2017 J jnl
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data.
CoRR
Dingwen Tao, Sheng Di, Hanqi Guo, Zizhong Chen, Franck Cappello
2016 A conf
GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing.
SC
Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen
2016 A conf
New-Sum: A Novel Online ABFT Scheme For General Iterative Methods.
HPDC
Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen
2016 A conf
Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra.
HPDC
Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen
2014 B conf
Extending checksum-based ABFT to tolerate soft errors online in iterative methods.
ICPADS
Longxiang Chen, Dingwen Tao, Panruo Wu, Zizhong Chen