Dingwen Tao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
78
Venues
20
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
78 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training. | Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan, Dingwen Tao, Wen Xia, Zhihong Tian |
| 2026 | HPDC | TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training. | Man Liu, Xingchen Liu, Xingjian Tian, Bing Lu, Shengkai Lyu, Shengquan Yin, Wenjing Huang, Zheng Wei, Hairui Zhao, Guangming Tan, Dingwen Tao |
| 2026 | HPDC | A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States. | Daran Sun, Bowen Kan, Haoquan Long, Hairui Zhao, Haoxu Li, Yicheng Liu, Pengyu Zhou, Ankang Feng, Wenjing Huang, Yida Gu, Zhenyu Li, Honghui Shang, Yunquan Zhang, Dingwen Tao, Ninghui Sun, Guangming Tan |
| 2026 | ISCA | ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs. | Jinwu Yang, Jiaan Wu, Zedong Liu, Xinyang Ma, Hairui Zhao, Yida Gu, Yuanhong Huang, Xingchen Liu, Wenjing Huang, Zheng Wei, Jing Xing, Yili Ma, Qingyi Zhang, Baoyi An, Zhongzhe Hu, Shaoteng Liu, Xia Zhu, Jiaxun Lu, Guangming Tan, Dingwen Tao |
| 2026 | PPoPP | PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation. | Bing Lu, Zedong Liu, Hairui Zhao, Dejun Luo, Wenjing Huang, Yida Gu, Jinyang Liu, Guangming Tan, Dingwen Tao |
| 2026 | PPoPP | CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training. | 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 | PPoPP | COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training. | 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 | SIGCOMM | KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving. | Zedong Liu, Xinyang Ma, Dejun Luo, Hairui Zhao, Bing Lu, Wenjing Huang, Yida Gu, Xingchen Liu, Zheng Wei, Jinyang Liu, Dingwen Tao, Guangming Tan |
| 2025 | DAC | MemSens: Significantly Reducing Memory Overhead in Adjoint Sensitivity Analysis Using Novel Error-Bounded Lossy Compression. | Chenxi Li, Yihang Feng, Fuxing Deng, Dingwen Tao, Weifeng Liu, Zhou Jin |
| 2025 | DAC | BirdMoE: Reducing Communication Costs for Mixture-of-Experts Training Using Load-Aware Bi-random Quantization. | Donglei Wu, Weihao Yang, Xiangyu Zou, Jinda Jia, Dingwen Tao, Wen Xia, Zhihong Tian |
| 2025 | HPDC | TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System. | Zheng Wei, Jing Xing, Yida Gu, Wenjing Huang, Dong Dai, Guangming Tan, Dingwen Tao |
| 2025 | ICDE | A Cost-Effective and Decompression-Transparent Compressor for OLTP-Oriented Databases. | Hao Hu, Qiyang Zheng, Xiangyu Zou, Lisha Qin, Chengwei Zhang, Wanchuan Zhang, Zhaoheng Jiang, Dingwen Tao, Hongpeng Wang, Wen Xia |
| 2025 | ICPADS | SaneKV: A Swift-Adaptive and NUMA-Enhanced Persistent Key-Value Store. | Shengquan Yin, Yili Ma, Jing Xing, Zheng Wei, Dingwen Tao, Guangming Tan |
| 2025 | ICS | BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. | Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao |
| 2025 | ICS | Cherry: Breaking the GPU Memory Wall for Large-Scale GNN Training via Micro-Batching. | Yan Wang, Qinghua Guo, Haoran Kong, Kai Sheng, Zhen Xie, Hao Chen, Weile Jia, Dingwen Tao, Xin He |
| 2025 | PPoPP | High-performance Visual Semantics Compression for AI-Driven Science. | Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao |
| 2025 | PPoPP | Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators. | Zhanyuan Di, Leping Wang, Ziyi Ren, En Shao, Jie Zhao, Siyuan Feng, Dingwen Tao, Guangming Tan, Ninghui Sun |
| 2025 | PPoPP | COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers. | 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 | SC | What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. | 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 |
| 2025 | SC | MANS: Efficient and Portable ANS Encoding for Multi-Byte Integer Data on CPUs and GPUs. | Wenjing Huang, Jinwu Yang, Shengquan Yin, Haoxu Li, Yida Gu, Zedong Liu, Xing Jing, Zheng Wei, Shiyuan Fu, Hao Hu, Guangming Tan, Dingwen Tao |
| 2024 | CLUSTER | Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. | 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 | DAC | MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. | Chenxi Li, Boyuan Zhang, Yongqiang Duan, Yang Li, Zuochang Ye, Weifeng Liu, Dingwen Tao, Zhou Jin |
| 2024 | DCC | Machete: An Efficient Lossy Floating-Point Compressor Designed for Time Series Databases. | Yang Shi, Xiangyu Zou, Xinyu Chen, Sian Jin, Dingwen Tao, Cai Deng, Yufan Chen, Wen Xia |
| 2024 | EuroSys | Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling. | Sian Jin, Sheng Di, Frdric Vivien, Daoce Wang, Yves Robert, Dingwen Tao, Franck Cappello |
| 2024 | SC | cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. | 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 |
| 2024 | SC | Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. | 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 | SC | 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 |
| 2024 | USENIX | Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. | Zhen Xie, Murali Emani, Xiaodong Yu, Dingwen Tao, Xin He, Pengfei Su, Keren Zhou, Venkatram Vishwanath |
| 2023 | AAAI | HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. | Jinqi Xiao, Chengming Zhang, Yu Gong, Miao Yin, Yang Sui, Lizhi Xiang, Dingwen Tao, Bo Yuan |
| 2023 | HPDC | FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2023 | ICS | 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, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao |
| 2023 | ICS | Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training. | Anqi Guo, Yuchen Hao, Chunshu Wu, Pouya Haghi, Zhenyu Pan, Min Si, Dingwen Tao, Ang Li, Martin C. Herbordt, Tong Geng |
| 2023 | ICS | GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. | Boyuan Zhang, Jiannan Tian, Sheng Di, Xiaodong Yu, Martin Swany, Dingwen Tao, Franck Cappello |
| 2023 | PPoPP | TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. | Lizhi Xiang, Miao Yin, Chengming Zhang, Aravind Sukumaran-Rajam, P. Sadayappan, Bo Yuan, Dingwen Tao |
| 2023 | SC | Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. | Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao |
| 2023 | SC | Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. | Zhengyang He, Yafan Huang, Hui Xu, Dingwen Tao, Guanpeng Li |
| 2023 | SC | 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 |
| 2023 | SC | 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 |
| 2023 | SC | MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. | Boyuan Zhang, Bo Fang, Qiang Guan, Ang Li, Dingwen Tao |
| 2022 | FPL | H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. | Chengming Zhang, Tong Geng, Anqi Guo, Jiannan Tian, Martin C. Herbordt, Ang Li, Dingwen Tao |
| 2022 | HPDC | 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 |
| 2022 | HPDC | Ultrafast Error-bounded Lossy Compression for Scientific Datasets. | Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, Franck Cappello |
| 2022 | ICDE | Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. | Sian Jin, Sheng Di, Jiannan Tian, Suren Byna, Dingwen Tao, Franck Cappello |
| 2022 | ICS | Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. | 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 | ICS | CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. | Chengming Zhang, Sian Jin, Tong Geng, Jiannan Tian, Ang Li, Dingwen Tao |
| 2022 | MASCOTS | Efficient Error-Bounded Lossy Compression for CPU Architectures. | Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello |
| 2022 | SC | Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5. | Sian Jin, Dingwen Tao, Houjun Tang, Sheng Di, Suren Byna, Zarija Lukic, Franck Cappello |
| 2021 | CLUSTER | 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 |
| 2021 | CLUSTER | Exploring Autoencoder-based Error-bounded Compression for Scientific Data. | Jinyang Liu, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Xin Liang, Zizhong Chen, Franck Cappello |
| 2021 | CLUSTER | Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. | Jiannan Tian, Sheng Di, Xiaodong Yu, Cody Rivera, Kai Zhao, Sian Jin, Yunhe Feng, Xin Liang, Dingwen Tao, Franck Cappello |
| 2021 | CLUSTER | cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. | Xiaodong Yu, Sheng Di, Ali Murat Gok, Dingwen Tao, Franck Cappello |
| 2021 | HiPC | Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. | Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2021 | HPDC | Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling. | Sian Jin, Jesus Pulido, Pascal Grosset, Jiannan Tian, Dingwen Tao, James P. Ahrens |
| 2021 | ICS | ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. | Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | PPoPP | A novel memory-efficient deep learning training framework via error-bounded lossy compression. | Sian Jin, Guanpeng Li, Shuaiwen Leon Song, Dingwen Tao |
| 2021 | PPoPP | An efficient uncertain graph processing framework for heterogeneous architectures. | Heng Zhang, Lingda Li, Donglin Zhuang, Rui Liu, Shuang Song, Dingwen Tao, Yanjun Wu, Shuaiwen Leon Song |
| 2021 | SC | Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. | Yuanjian Lin, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian T. Foster, Franck Cappello |
| 2020 | DAC | RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. | Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao |
| 2020 | HPDC | Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. | Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2020 | ICPP | Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. | Zhenbo Hu, Xiangyu Zou, Wen Xia, Sian Jin, Dingwen Tao, Yang Liu, Weizhe Zhang, Zheng Zhang |
| 2020 | PPoPP | waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. | Jiannan Tian, Sheng Di, Chengming Zhang, Xin Liang, Sian Jin, Dazhao Cheng, Dingwen Tao, Franck Cappello |
| 2019 | CLUSTER | Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. | Xin Liang, Sheng Di, Dingwen Tao, Sihuan Li, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2019 | HPCC | Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. | Xiangyu Zou, Tao Lu, Sheng Di, Dingwen Tao, Wen Xia, Xuan Wang, Weizhe Zhang, Qing Liao |
| 2019 | HPDC | DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. | Sian Jin, Sheng Di, Xin Liang, Jiannan Tian, Dingwen Tao, Franck Cappello |
| 2019 | ICS | TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. | Jieyang Chen, Nan Xiong, Xin Liang, Dingwen Tao, Sihuan Li, Kaiming Ouyang, Kai Zhao, Nathan DeBardeleben, Qiang Guan, Zizhong Chen |
| 2019 | SC | Significantly improving lossy compression quality based on an optimized hybrid prediction model. | Xin Liang, Sheng Di, Sihuan Li, Dingwen Tao, Bogdan Nicolae, Zizhong Chen, Franck Cappello |
| 2018 | CLUSTER | PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry. | Ali Murat Gok, Sheng Di, Yuri Alexeev, Dingwen Tao, Vladimir A. Mironov, Xin Liang, Franck Cappello |
| 2018 | CLUSTER | An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. | Xin Liang, Sheng Di, Dingwen Tao, Zizhong Chen, Franck Cappello |
| 2018 | CLUSTER | Fixed-PSNR Lossy Compression for Scientific Data. | Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello |
| 2018 | HPDC | Improving performance of iterative methods by lossy checkponting. | Dingwen Tao, Sheng Di, Xin Liang, Zizhong Chen, Franck Cappello |
| 2018 | SC | Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. | Jieyang Chen, Hongbo Li, Sihuan Li, Xin Liang, Panruo Wu, Dingwen Tao, Kaiming Ouyang, Yuanlai Liu, Kai Zhao, Qiang Guan, Zizhong Chen |
| 2017 | EuroPar | Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. | 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. Kur, 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 | PPoPP | Silent Data Corruption Resilient Two-sided Matrix Factorizations. | Panruo Wu, Nathan DeBardeleben, Qiang Guan, Sean Blanchard, Jieyang Chen, Dingwen Tao, Xin Liang, Kaiming Ouyang, Zizhong Chen |
| 2017 | SC | Correcting soft errors online in fast fourier transform. | Xin Liang, Jieyang Chen, Dingwen Tao, Sihuan Li, Panruo Wu, Hongbo Li, Kaiming Ouyang, Yuanlai Liu, Fengguang Song, Zizhong Chen |
| 2016 | HPDC | New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. | Dingwen Tao, Shuaiwen Leon Song, Sriram Krishnamoorthy, Panruo Wu, Xin Liang, Eddy Z. Zhang, Darren J. Kerbyson, Zizhong Chen |
| 2016 | HPDC | Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. | Panruo Wu, Qiang Guan, Nathan DeBardeleben, Sean Blanchard, Dingwen Tao, Xin Liang, Jieyang Chen, Zizhong Chen |
| 2016 | SC | GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. | Jieyang Chen, Li Tan, Panruo Wu, Dingwen Tao, Hongbo Li, Xin Liang, Sihuan Li, Rong Ge, Laxmi N. Bhuyan, Zizhong Chen |
| 2014 | ICPADS | Extending checksum-based ABFT to tolerate soft errors online in iterative methods. | Longxiang Chen, Dingwen Tao, Panruo Wu, Zizhong Chen |