Extending checksum-based ABFT to tolerate soft errors online in iterative methods. - Longxiang Chen; Dingwen Tao; Panruo Wu; Zizhong Chen (ICPADS, 2014)

New-Sum: A Novel Online ABFT Scheme For General Iterative Methods. - Dingwen Tao; Shuaiwen Leon Song; Sriram Krishnamoorthy; Panruo Wu; Xin Liang 001; Eddy Z. Zhang; Darren J. Kerbyson; Zizhong Chen (HPDC, 2016)

Towards Practical Algorithm Based Fault Tolerance in Dense Linear Algebra. - Panruo Wu; Qiang Guan; Nathan DeBardeleben; Sean Blanchard; Dingwen Tao; Xin Liang 001; Jieyang Chen; Zizhong Chen (HPDC, 2016)

GreenLA: green linear algebra software for GPU-accelerated heterogeneous computing. - Jieyang Chen; Li Tan; Panruo Wu; Dingwen Tao; Hongbo Li 006; Xin Liang 001; Sihuan Li; Rong Ge 002; Laxmi N. Bhuyan; Zizhong Chen (SC, 2016)

In-depth exploration of single-snapshot lossy compression techniques for N-body simulations. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IEEE BigData, 2017)

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 001; Scott Klasky; et al. (Euro-Par, 2017)

Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (IPDPS, 2017)

Silent Data Corruption Resilient Two-sided Matrix Factorizations. - Panruo Wu; Nathan DeBardeleben; Qiang Guan; Sean Blanchard; Jieyang Chen; Dingwen Tao; Xin Liang 001; Kaiming Ouyang; Zizhong Chen (PPoPP, 2017)

Correcting soft errors online in fast fourier transform. - Xin Liang 001; Jieyang Chen; Dingwen Tao; Sihuan Li; Panruo Wu; Hongbo Li 006; Kaiming Ouyang; Yuanlai Liu; Fengguang Song; Zizhong Chen (SC, 2017)

Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets. - Dingwen Tao; Sheng Di; Zizhong Chen; Franck Cappello (ISC Workshops, 2017)

Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Shaomeng Li; Hanqi Guo 001; Zizhong Chen; Franck Cappello (IEEE BigData, 2018)

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 001; Franck Cappello (CLUSTER, 2018)

An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound. - Xin Liang 001; Sheng Di; Dingwen Tao; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Fixed-PSNR Lossy Compression for Scientific Data. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2018)

Improving performance of iterative methods by lossy checkponting. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (HPDC, 2018)

Fault tolerant one-sided matrix decompositions on heterogeneous systems with GPUs. - Jieyang Chen; Hongbo Li 006; Sihuan Li; Xin Liang 001; Panruo Wu; Dingwen Tao; Kaiming Ouyang; Yuanlai Liu; Kai Zhao 008; Qiang Guan; Zizhong Chen (SC, 2018)

Fault Tolerance for Iterative Methods in High-Performance Computing. - Dingwen Tao (2018)

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster. - Yuqi Fu; Shaolun Zhang; Jose Terrero; Ying Mao 001; Guangya Liu; Sheng Li 001; Dingwen Tao (IEEE BigData, 2019)

Elastic Executor Provisioning for Iterative Workloads on Apache Spark. - Donglin Yang; Wei Rang; Dazhao Cheng; Yu Wang 003; Jiannan Tian; Dingwen Tao (IEEE BigData, 2019)

Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation. - Xin Liang 001; Sheng Di; Dingwen Tao; Sihuan Li; Bogdan Nicolae; Zizhong Chen; Franck Cappello (CLUSTER, 2019)

Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing. - Xiangyu Zou; Tao Lu; Sheng Di; Dingwen Tao; Wen Xia; Xuan Wang 002; Weizhe Zhang; Qing Liao 001 (HPCC/SmartCity/DSS, 2019)

DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression. - Sian Jin; Sheng Di; Xin Liang 001; Jiannan Tian; Dingwen Tao; Franck Cappello (HPDC, 2019)

TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs. - Jieyang Chen; Nan Xiong; Xin Liang 001; Dingwen Tao; Sihuan Li; Kaiming Ouyang; Kai Zhao 008; Nathan DeBardeleben; Qiang Guan; Zizhong Chen (ICS, 2019)

Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Sheng Di; Dingwen Tao; Franck Cappello (MSST, 2019)

Significantly improving lossy compression quality based on an optimized hybrid prediction model. - Xin Liang 001; Sheng Di; Sihuan Li; Dingwen Tao; Bogdan Nicolae; Zizhong Chen; Franck Cappello (SC, 2019)

Use cases of lossy compression for floating-point data in scientific data sets. - Franck Cappello; Sheng Di; Sihuan Li; Xin Liang 001; Ali Murat Gok; Dingwen Tao; Chun Hong Yoon; Xin-Chuan Wu; Yuri Alexeev; Frederic T. Chong (Int. J. High Perform. Comput. Appl., 2019)

Z-checker: A framework for assessing lossy compression of scientific data. - Dingwen Tao; Sheng Di; Hanqi Guo 001; Zizhong Chen; Franck Cappello (Int. J. High Perform. Comput. Appl., 2019)

Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound. - Sheng Di; Dingwen Tao; Xin Liang 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP. - Dingwen Tao; Sheng Di; Xin Liang 001; Zizhong Chen; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2019)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. - Jiannan Tian; Sheng Di; Kai Zhao 008; Cody Rivera; Megan Hickman Fulp; Robert Underwood; Sian Jin; Xin Liang 001; Jon Calhoun 001; Dingwen Tao; Franck Cappello (PACT, 2020)

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs. - Baodi Shan; Aabid Shamji; Jiannan Tian; Guanpeng Li; Dingwen Tao (IEEE BigData, 2020)

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Julie Bessac; Zizhong Chen; Franck Cappello (IEEE BigData, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Dingwen Tao (DAC, 2020)

Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization. - Kai Zhao 008; Sheng Di; Xin Liang 001; Sihuan Li; Dingwen Tao; Zizhong Chen; Franck Cappello (HPDC, 2020)

Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity. - Zhenbo Hu; Xiangyu Zou; Wen Xia; Sian Jin; Dingwen Tao; Yang Liu 039; Weizhe Zhang; Zheng Zhang 006 (ICPP, 2020)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations. - Sian Jin; Pascal Grosset; Christopher M. Biwer; Jesus Pulido; Jiannan Tian; Dingwen Tao; James P. Ahrens (IPDPS, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 2020)

ISM2: Optimizing Irregular-Shaped Matrix-Matrix Multiplication on GPUs. - Cody Rivera; Jieyang Chen; Nan Xiong; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren; Xue Lin 001; Yanzhi Wang; Dingwen Tao (CoRR, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (CoRR, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data. - Xiangyu Zou; Tao Lu; Wen Xia; Xuan Wang 002; Weizhe Zhang; Haijun Zhang 002; Sheng Di; Dingwen Tao; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2020)

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques. - Jinyang Liu 003; Sihuan Li; Sheng Di; Xin Liang 001; Kai Zhao 008; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE BigData, 2021)

Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights. - Bo Fang 002; Daoce Wang; Sian Jin; Quincey Koziol; Zhao Zhang 007; Qiang Guan; Suren Byna; Sriram Krishnamoorthy; Dingwen Tao (CLUSTER, 2021)

Exploring Autoencoder-based Error-bounded Compression for Scientific Data. - Jinyang Liu 003; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Xin Liang 001; Zizhong Chen; Franck Cappello (CLUSTER, 2021)

Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

cuZ-Checker: A GPU-Based Ultra-Fast Assessment System for Lossy Compressions. - Xiaodong Yu 001; Sheng Di; Ali Murat Gok; Dingwen Tao; Franck Cappello (CLUSTER, 2021)

Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (HiPC, 2021)

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 (HPDC, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures. - Jiannan Tian; Cody Rivera; Sheng Di; Jieyang Chen; Xin Liang 001; Dingwen Tao; Franck Cappello (IPDPS, 2021)

A novel memory-efficient deep learning training framework via error-bounded lossy compression. - Sian Jin; Guanpeng Li; Shuaiwen Leon Song; Dingwen Tao (PPoPP, 2021)

An efficient uncertain graph processing framework for heterogeneous architectures. - Heng Zhang 005; Lingda Li; Donglin Zhuang; Rui Liu 002; Shuang Song; Dingwen Tao; Yanjun Wu; Shuaiwen Leon Song (PPoPP, 2021)

Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis. - Yuanjian Lin; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (DRBSD@SC, 2021)

cuSZ(x): Optimizing Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jiannan Tian; Sheng Di; Xiaodong Yu 001; Cody Rivera; Kai Zhao 008; Sian Jin; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (CoRR, 2021)

CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (CoRR, 2021)

TSM2X: High-performance tall-and-skinny matrix-matrix multiplication on GPUs. - Cody Rivera; Jieyang Chen; Nan Xiong; Jing Zhang; Shuaiwen Leon Song; Dingwen Tao (J. Parallel Distributed Comput., 2021)

COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression. - Sian Jin; Chengming Zhang 006; Xintong Jiang; Yunhe Feng; Hui Guan 001; Guanpeng Li; Shuaiwen Song; Dingwen Tao (Proc. VLDB Endow., 2021)

HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures. - Xinyu Chen; Marco Minutoli; Jiannan Tian; Mahantesh Halappanavar; Ananth Kalyanaraman; Dingwen Tao (PACT, 2022)

H-GCN: A Graph Convolutional Network Accelerator on Versal ACAP Architecture. - Chengming Zhang 006; Tong Geng; Anqi Guo; Jiannan Tian; Martin C. Herbordt; Ang Li 006; Dingwen Tao (FPL, 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 (HPDC, 2022)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (HPDC, 2022)

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling. - Sian Jin; Sheng Di; Jiannan Tian; Suren Byna; Dingwen Tao; Franck Cappello (ICDE, 2022)

Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems. - Heng Zhang 005; Lingda Li; Hang Liu 001; Donglin Zhuang; Rui Liu 002; Chengying Huan; Shuang Song; Dingwen Tao; Yongchao Liu; Charles He; Yanjun Wu; Shuaiwen Leon Song (ICS, 2022)

CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression. - Chengming Zhang 006; Sian Jin; Tong Geng; Jiannan Tian; Ang Li 006; Dingwen Tao (ICS, 2022)

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs. - Cody Rivera; Sheng Di; Jiannan Tian; Xiaodong Yu 001; Dingwen Tao; Franck Cappello (IPDPS, 2022)

Efficient Error-Bounded Lossy Compression for CPU Architectures. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon C. Calhoun; Franck Cappello (MASCOTS, 2022)

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 (SC, 2022)

SIMD Lossy Compression for Scientific Data. - Griffin Dube; Jiannan Tian; Sheng Di; Dingwen Tao; Jon Calhoun 001; Franck Cappello (CoRR, 2022)

SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets. - Xiaodong Yu 001; Sheng Di; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (CoRR, 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)

SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates. - Baixi Sun; Xiaodong Yu 001; Chengming Zhang 006; Jiannan Tian; Sian Jin; Kamil Iskra; Tao Zhou; Tekin Bicer; Pete Beckman; Dingwen Tao (CoRR, 2022)

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data. - Pu Jiao; Sheng Di; Hanqi Guo 001; Kai Zhao 008; Jiannan Tian; Dingwen Tao; Xin Liang 001; Franck Cappello (Proc. VLDB Endow., 2022)

Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster. - Ying Mao 001; Yuqi Fu; Wenjia Zheng; Long Cheng 003; Qingzhi Liu; Dingwen Tao (IEEE Syst. J., 2022)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints. - Yuanjian Liu; Sheng Di; Kai Zhao 008; Sian Jin; Cheng Wang; Kyle Chard; Dingwen Tao; Ian T. Foster; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2022)

HALOC: Hardware-Aware Automatic Low-Rank Compression for Compact Neural Networks. - Jinqi Xiao; Chengming Zhang 006; Yu Gong; Miao Yin; Yang Sui; Lizhi Xiang; Dingwen Tao; Bo Yuan 001 (AAAI, 2023)

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Yunhe Feng; Xin Liang 001; Dingwen Tao; Franck Cappello (HPDC, 2023)

HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs. - Chengming Zhang 006; Shaden Smith; Baixi Sun; Jiannan Tian; Jonathan Soifer; Xiaodong Yu 001; Shuaiwen Leon Song; Yuxiong He; Dingwen Tao (ICS, 2023)

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 006; Martin C. Herbordt; Tong Geng (ICS, 2023)

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs. - Boyuan Zhang 002; Jiannan Tian; Sheng Di; Xiaodong Yu 001; Martin Swany; Dingwen Tao; Franck Cappello (ICS, 2023)

Carbon Emissions of Quantum Circuit Simulation: More than You Would Think. - Jinyang Li 001; Qiang Guan; Dingwen Tao; Weiwen Jiang (IGSC, 2023)

TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition. - Lizhi Xiang; Miao Yin; Chengming Zhang 006; Aravind Sukumaran-Rajam; P. Sadayappan; Bo Yuan 001; Dingwen Tao (PPoPP, 2023)

Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors. - Chengming Zhang 006; Baixi Sun; Xiaodong Yu 001; Zhen Xie; Weijian Zheng; Kamil A. Iskra; Pete Beckman; Dingwen Tao (SC Workshops, 2023)

Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication. - Zhengyang He; Yafan Huang; Hui Xu 009; Dingwen Tao; Guanpeng Li (SC, 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 (SC Workshops, 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 008; Bo Fang 002; Zarija Lukic; Franck Cappello; et al. (SC, 2023)

MEMQSim: Highly Memory-Efficient and Modularized Quantum State-Vector Simulation. - Boyuan Zhang 002; Bo Fang 002; Qiang Guan; Ang Li 006; Dingwen Tao (SC Workshops, 2023)

TAC+: Drastically Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (CoRR, 2023)

MPGemmFI: A Fault Injection Technique for Mixed Precision GEMM in ML Applications. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CoRR, 2023)

cuSZ-I: High-Fidelity Error-Bounded Lossy Compression for Scientific Data on GPUs. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Yafan Huang; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; Franck Cappello (CoRR, 2023)

Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning. - Haoyu Jin; Donglei Wu; Shuyu Zhang; Xiangyu Zou; Sian Jin; Dingwen Tao; Qing Liao 001; Wen Xia (IEEE Trans. Parallel Distributed Syst., 2023)

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. - Xin Liang 001; Kai Zhao 008; Sheng Di; Sihuan Li; Robert Underwood; Ali Murat Gok; Jiannan Tian; Junjing Deng; Jon C. Calhoun; Dingwen Tao; Zizhong Chen; Franck Cappello (IEEE Trans. Big Data, 2023)

Understanding Mixed Precision GEMM with MPGemmFI: Insights into Fault Resilience. - Bo Fang 002; Xinyi Li; Harvey Dam; Cheng Tan 002; Siva Kumar Sastry Hari; Timothy Tsai 002; Ignacio Laguna; Dingwen Tao; Ganesh Gopalakrishnan; Prashant J. Nair; Kevin J. Barker; Ang Li 006 (CLUSTER, 2024)

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. - Haoyu Ma; Chengming Zhang 006; Lizhi Xiang; Xiaolong Ma; Geng Yuan; Wenkai Zhang; Shiwei Liu 003; Tianlong Chen 001; Dingwen Tao; Yanzhi Wang; Zhangyang Wang; Xiaohui Xie (CPAL, 2024)

MASC: A Memory-Efficient Adjoint Sensitivity Analysis through Compression Using Novel Spatiotemporal Prediction. - Chenxi Li; Boyuan Zhang 002; Yongqiang Duan; Yang Li; Zuochang Ye; Weifeng Liu 002; Dingwen Tao; Zhou Jin 001 (DAC, 2024)

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 (DCC, 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 (EuroSys, 2024)

GWLZ: A Group-wise Learning-based Lossy Compression Framework for Scientific Data. - Wenqi Jia 003; Sian Jin; Jinzhen Wang; Wei Niu 002; Dingwen Tao; Miao Yin (FlexScience@HPDC, 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 006; Baixi Sun; Haibin Lin; Zhi Zhang; Xin Liu; Dingwen Tao (NeurIPS, 2024)

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. - Jinyang Liu 003; Jiannan Tian; Shixun Wu; Sheng Di; Boyuan Zhang 002; Robert Underwood; Yafan Huang; Jiajun Huang 001; Kai Zhao 008; Guanpeng Li; Dingwen Tao; Zizhong Chen; et al. (SC, 2024)

Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. - Hao Feng; Boyuan Zhang 002; Fanjiang Ye; Min Si; Ching-Hsiang Chu; Jiannan Tian; Chunxing Yin; Summer Deng; Yuchen Hao; Pavan Balaji; Tong Geng; Dingwen Tao (SC, 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 008; Zarija Lukic; Axel Huebl; Zhe Wang 059; James P. Ahrens; Dingwen Tao (SC, 2024)

Centimani: Enabling Fast AI Accelerator Selection for DNN Training with a Novel Performance Predictor. - Zhen Xie; Murali Emani; Xiaodong Yu 001; Dingwen Tao; Xin He; Pengfei Su 001; Keren Zhou 001; Venkatram Vishwanath (USENIX ATC, 2024)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (CoRR, 2024)

FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources. - Xiyuan Wei; Fanjiang Ye; Ori Yonay; Xingyu Chen; Baixi Sun; Dingwen Tao; Tianbao Yang (CoRR, 2024)

Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. - Boyuan Zhang 002; Bo Fang 002; Fanjiang Ye; Yida Gu; Nathan R. Tallent; Guangming Tan; Dingwen Tao (CoRR, 2024)

GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors. - Chengming Zhang 006; Xinheng Ding; Baixi Sun; Xiaodong Yu 001; Weijian Zheng; Zhen Xie; Dingwen Tao (CoRR, 2024)

FCBench: Cross-Domain Benchmarking of Lossless Compression for Floating-point Data. - Xinyu Chen; Jiannan Tian; Ian Beaver; Cynthia Freeman; Yan Yan; Jianguo Wang 001; Dingwen Tao (Proc. VLDB Endow., 2024)

TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations. - Daoce Wang; Jesus Pulido; Pascal Grosset; Sian Jin; Jiannan Tian; Kai Zhao 008; James P. Ahrens; Dingwen Tao (IEEE Trans. Parallel Distributed Syst., 2024)

PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory. - Qianwen Shen; Shien Huang; Baixi Sun; Xinyu Chen; Dingwen Tao; Huaiyu Wan; Ergude Bao (Appl. Intell., 2024)

BIRD+: Design of a Lightweight Communication Compressor for Resource-Constrained Distribution Learning Platforms. - Donglei Wu; Weihao Yang; Xiangyu Zou; Hao Feng; Dingwen Tao; Shiyi Li; Wen Xia; Binxing Fang (IEEE Trans. Parallel Distributed Syst., 2024)

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 (ICDE, 2025)

NAPEH: An Asynchronous and NUMA-Aware KV Store Based on Non-Volatile Memory Architectures. - Yili Ma; Shengquan Yin; Jing Xing; Haoquan Long; Zheng Wei; Guangming Tan; Dingwen Tao (IPDPS (Workshops), 2025)

TSUE: A Two-Stage Data Update Method for an Erasure Coded Cluster File System. - Zheng Wei; Jing Xing; Yida Gu; Guangming Tan; Dingwen Tao (IPDPS (Workshops), 2025)

High-performance Visual Semantics Compression for AI-Driven Science. - Boyuan Zhang 002; Luanzheng Guo; Jiannan Tian; Jinyang Liu 003; Daoce Wang; Fanjiang Ye; Chengming Zhang 006; Jan Strube 001; Nathan R. Tallent; Dingwen Tao (PPoPP, 2025)

Magneto: Accelerating Parallel Structures in DNNs via Co-Optimization of Operators. - Zhanyuan Di; Leping Wang; Ziyi Ren; En Shao; Jie Zhao 002; Siyuan Feng; Dingwen Tao; Guangming Tan; Ninghui Sun (PPoPP, 2025)

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 002; Mingkai Zheng; Sheng Di; Sian Jin; Zhao Zhang 007; Xiaodong Yu 001; et al. (PPoPP, 2025)

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. - Franck Cappello; Mario C. Acosta; Emmanuel Agullo; Hartwig Anzt; Jon Calhoun 001; Sheng Di; Luc Giraud; Thomas Grützmacher; Sian Jin; Kentaro Sano; Kento Sato; Amarjit Singh; et al. (Future Gener. Comput. Syst., 2025)

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. - Longtao Zhang; Ruoyu Li; Congrong Ren; Sheng Di; Jinyang Liu 003; Jiajun Huang 001; Robert Underwood; Pascal Grosset; Dingwen Tao; Xin Liang 001; Hanqi Guo 001; Franck Cappello; et al. (Proc. ACM Manag. Data, 2025)

Lossy Compression of Scientific Data: Applications Constrains and Requirements. - Franck Cappello; Allison H. Baker; Ebru Bozda; Martin Burtscher; Kyle Chard; Sheng Di; Paul Christopher O. Grady; Peng Jiang 004; Shaomeng Li; Erik Lindahl; Peter Lindstrom 001; Magnus Lundborg; et al. (CoRR, 2025)

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 (CoRR, 2025)

ElasticMM: Efficient Multimodal LLMs Serving with Elastic Multimodal Parallelism. - Zedong Liu; Shenggan Cheng; Guangming Tan; Yang You 001; Dingwen Tao (CoRR, 2025)

FedCSpc: A Cross-Silo Federated Learning System With Error-Bounded Lossy Parameter Compression. - Zhaorui Zhang; Sheng Di; Kai Zhao 008; Sian Jin; Dingwen Tao; Zhuoran Ji; Benben Liu; Khalid Ayedh Alharthi; Jiannong Cao 001; Franck Cappello (IEEE Trans. Parallel Distributed Syst., 2025)

A Survey on Error-Bounded Lossy Compression for Scientific Datasets. - Sheng Di; Jinyang Liu 003; Kai Zhao 008; Xin Liang 001; Robert Underwood; Zhaorui Zhang; Milan Shah; Yafan Huang; Jiajun Huang 001; Xiaodong Yu 001; Congrong Ren; Hanqi Guo 001; et al. (ACM Comput. Surv., 2025)