Xin Liang

139 papers A* 4A 32B 13C 7Misc 2Journal 69Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression.
CoRR
Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello
2026 J jnl
Mitigating Artifacts in Pre-quantization Based Scientific Data Compressors with Quantization-aware Interpolation.
CoRR
Pu Jiao, Sheng Di, Jiannan Tian, Mingze Xia, Xuan Wu, Yang Zhang, Xin Liang, Franck Cappello
2026 J jnl
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields.
IEEE Trans. Vis. Comput. Graph.
Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2026 J jnl
TopoSZp: Lightweight Topology-Aware Error-controlled Compression for Scientific Data.
CoRR
Tripti Agarwal, Sheng Di, Xin Liang, Zhaoyuan Su, Yuxiao Li, Ganesh Gopalakrishnan, Hanqi Guo, Franck Cappello
2026 J jnl
pMSz: A Distributed Parallel Algorithm for Correcting Extrema and Morse Smale Segmentations in Lossy Compression.
CoRR
Yuxiao Li, Mingze Xia, Xin Liang, Bei Wang, Robert Underwood, Sheng Di, Hemant Sharma, Dishant Beniwal, Franck Cappello, Hanqi Guo
2025 J jnl
A General Framework for Augmenting Lossy Compressors With Topological Guarantees.
IEEE Trans. Vis. Comput. Graph.
Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025 J jnl
A General Framework for Augmenting Lossy Compressors with Topological Guarantees.
CoRR
Nathaniel Gorski, Xin Liang, Hanqi Guo, Lin Yan, Bei Wang
2025 J jnl
A General Framework for Error-controlled Unstructured Scientific Data Compression.
CoRR
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
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 A conf
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.
SC
Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025 J jnl
Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration.
CoRR
Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello
2025 A conf
Enabling Efficient Error-Controlled Lossy Compression for Unstructured Scientific Data.
IPDPS
Xuan Wu, Sheng Di, Congrong Ren, Pu Jiao, Mingze Xia, Cheng Wang, Hanqi Guo, Xin Liang, Franck Cappello
2025 J jnl
GPZ: GPU-Accelerated Lossy Compressor for Particle Data.
CoRR
Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Jiajun Huang, Jinyang Liu, Jiannan Tian, Xin Liang, Guanpeng Li, Hanqi Guo, Franck Cappello, Kai Zhao
2025 A conf
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
SC
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025 J jnl
HP-MDR: High-performance and Portable Data Refactoring and Progressive Retrieval with Advanced GPUs.
CoRR
Yanliang Li, Wenbo Li, Qian Gong, Qing Liu, Norbert Podhorszki, Scott Klasky, Xin Liang, Jieyang Chen
2025 A conf
HPDR: High-Performance Portable Scientific Data Reduction Framework.
IPDPS
Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025 J jnl
HPDR: High-Performance Portable Scientific Data Reduction Framework.
CoRR
Jieyang Chen, Qian Gong, Yanliang Li, Xin Liang, Lipeng Wan, Qing Liu, Norbert Podhorszki, Scott Klasky
2025 A conf
Improving the Efficiency of Interpolation-based Scientific Data Compressors with Adaptive Quantization Index Prediction.
IPDPS
Pu Jiao, Sheng Di, Mingze Xia, Xuan Wu, Jinyang Liu, Xin Liang, Franck Cappello
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 — conf
Lightweight CNN-Based Artifact Reduction for Scientific Error-bounded Lossy Compression.
SC Workshops
Zizhe Jian, Pu Jiao, Bohan Zhang, Sheng Di, Xin Liang, Guanpeng Li, Huangliang Dai, Zizhong Chen, Franck Cappello
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 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
IPDPS (Workshops)
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 — conf
Lossy Parallel Visualization of Large-Scale Volume Data with Error-Bounded Image Compositing.
LDAV
Yongfeng Qiu, Yuxiao Li, Xin Liang, Yafan Huang, Guanpeng Li, Sheng Di, Franck Cappello, Hanqi Guo
2025 J jnl
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors.
IEEE Trans. Vis. Comput. Graph.
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2025 J jnl
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
Proc. VLDB Endow.
Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2025 A conf
Stability-preserving Lossy Compression for Large-scale Partial Differential Equations.
SC
Qian Gong, Mark Ainsworth, Jieyang Chen, Xin Liang, Liangji Zhu, Ethan Klasky, Tushar M. Athawale, Qing Liu, Anand Rangarajan, Sanjay Ranka, Scott Klasky
2025 J jnl
TFZ: Topology-Preserving Compression of 2D Symmetric and Asymmetric Second-Order Tensor Fields.
CoRR
Nathaniel Gorski, Xin Liang, Hanqi Guo, Bei Wang
2025 J jnl
Time-varying Vector Field Compression with Preserved Critical Point Trajectories.
CoRR
Mingze Xia, Yuxiao Li, Pu Jiao, Bei Wang, Xin Liang, Hanqi Guo
2025 A* conf
TspSZ: An Efficient Parallel Error-Bounded Lossy Compressor for Topological Skeleton Preservation.
ICDE
Mingze Xia, Bei Wang, Yuxiao Li, Pu Jiao, Xin Liang, Hanqi Guo
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 B conf
A Deep Learning Approach to Maximizing Electrostatic Sieve Efficiency in Regolith Beneficiation.
IEEE Big Data
Kalpit M. Vadnerkar, Emmanuela Amen Eze, Rinoj Gautam, Daoru Han, Xin Liang, Tong Shu
2024 B conf
A General Framework for Error-controlled Unstructured Scientific Data Compression.
e-Science
Qian Gong, Zhe Wang, Viktor Reshniak, Xin Liang, Jieyang Chen, Qing Liu, Tushar M. Athawale, Yi Ju, Anand Rangarajan, Sanjay Ranka, Norbert Podhorszki, Rick Archibald, Scott Klasky
2024 J jnl
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error.
Comput. Graph. Forum
Congrong Ren, Xin Liang, Hanqi Guo
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
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
IPDPS
Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello
2024 A conf
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
SC
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024 J jnl
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest.
CoRR
Xuan Wu, Qian Gong, Jieyang Chen, Qing Liu, Norbert Podhorszki, Xin Liang, Scott Klasky
2024 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2024 J jnl
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.
CoRR
Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
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 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
CoRR
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2024 J jnl
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors.
CoRR
Yuxiao Li, Xin Liang, Bei Wang, Yongfeng Qiu, Lin Yan, Hanqi Guo
2024 B conf
Modeling Lunar Surface Charging Using Physics-Informed Neural Networks.
IEEE Big Data
Niloofar Zendehdel, Adib Mosharrof, Katherine Delgado, Daoru Han, Xin Liang, Tong Shu
2024 J jnl
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression.
CoRR
Yuxiao Li, Xin Liang, Bei Wang, Hanqi Guo
2024 A* conf
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
ICDE
Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo
2024 J jnl
QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression.
CoRR
Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, Franck Cappello
2024 — conf
SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data.
SC Workshops
Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello
2024 J jnl
Spatiotemporally adaptive compression for scientific dataset with feature preservation - a case study on simulation data with extreme climate events analysis.
CoRR
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2024 J jnl
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.
IEEE Trans. Vis. Comput. Graph.
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2024 A conf
hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression.
SC
Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Zizhe Jian, Xin Liang, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur
2023 J jnl
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error.
CoRR
Congrong Ren, Xin Liang, Hanqi Guo
2023 Misc conf
Characterization and Detection of Artifacts for Error-Controlled Lossy Compressors.
HiPC
Pu Jiao, Sheng Di, Jinyang Liu, Xin Liang, Franck Cappello
2023 J jnl
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 A conf
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
ICS
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
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 J jnl
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
CoRR
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, Franck Cappello
2023 B conf
Improving Energy Saving of One-Sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
PPoPP
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023 J jnl
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems.
CoRR
Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi N. Bhuyan, Zizhong Chen
2023 A* conf
Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.
ICDE
Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu
2023 J jnl
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.
SoftwareX
Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky
2023 A conf
RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.
HPDC
Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky
2023 J jnl
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
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 B conf
Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
IEEE Big Data
Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2023 B conf
Spatiotemporally Adaptive Compression for Scientific Dataset with Feature Preservation - A Case Study on Simulation Data with Extreme Climate Events Analysis.
e-Science
Qian Gong, Chengzhu Zhang, Xin Liang, Viktor Reshniak, Jieyang Chen, Anand Rangarajan, Sanjay Ranka, Nicolas Vidal, Lipeng Wan, Paul Ullrich, Norbert Podhorszki, Robert Jacob, Scott Klasky
2023 J jnl
TopoSZ: Preserving Topology in Error-Bounded Lossy Compression.
CoRR
Lin Yan, Xin Liang, Hanqi Guo, Bei Wang
2023 J jnl
Toward Feature-Preserving Vector Field Compression.
IEEE Trans. Vis. Comput. Graph.
Xin Liang, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka, Hanqi Guo
2022 A conf
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
SC
Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2022 J jnl
Improving I/O Performance for Exascale Applications Through Online Data Layout Reorganization.
IEEE Trans. Parallel Distributed Syst.
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
2022 A* conf
MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics.
ICDE
Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, 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 — conf
Message from the DRBSD-8 Workshop Chairs.
DRBSD@SC
Jieyang Chen, Sheng Di, Ana Gainaru, Xin Liang, Todd S. Munson
2022 Misc conf
Parallel Vertex Color Update on Large Dynamic Networks.
HIPC
Arindam Khanda, Sanjukta Bhowmick, Xin Liang, Sajal K. Das
2022 B conf
Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.
SSDBM
Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky
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
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 A conf
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
IPDPS
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2021 A conf
Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.
SC
Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky
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 J jnl
FT-CNN: Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
IEEE Trans. Parallel Distributed Syst.
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2021 J jnl
FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking.
IEEE Trans. Vis. Comput. Graph.
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
2021 J jnl
Improving I/O Performance for Exascale Applications through Online Data Layout Reorganization.
CoRR
Lipeng Wan, Axel Huebl, Junmin Gu, Franz Poeschel, Ana Gainaru, Ruonan Wang, Jieyang Chen, Xin Liang, Dmitry Ganyushin, Todd S. Munson, Ian T. Foster, Jean-Luc Vay, Norbert Podhorszki, Kesheng Wu, Scott Klasky
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 B conf
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
SMC
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
2021 J jnl
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl.
Ian T. Foster, Mark Ainsworth, Julie Bessac, Franck Cappello, Jong Choi, Sheng Di, Zichao Wendy Di, Ali Murat Gok, Hanqi Guo, Kevin A. Huck, Christopher Kelly, Scott Klasky, Kerstin Kleese van Dam, Xin Liang, Kshitij Mehta, Manish Parashar, Tom Peterka, Line Pouchard, Tong Shu, Ozan Tugluk, Hubertus Van Dam, Lipeng Wan, Matthew Wolf, Justin M. Wozniak, Wei Xu, Igor Yakushin, Shinjae Yoo, Todd S. Munson
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 A conf
Resilient error-bounded lossy compressor for data transfer.
SC
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, 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
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
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
2020 J jnl
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.
CoRR
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
2020 J jnl
Algorithm-Based Fault Tolerance for Convolutional Neural Networks.
CoRR
Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello, Zizhong Chen
2020 J jnl
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
CoRR
Hanqi Guo, David Lenz, Jiayi Xu, Xin Liang, Wenbin He, Iulian R. Grindeanu, Han-Wei Shen, Tom Peterka, Todd S. Munson, Ian T. Foster
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
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 J jnl
SDC Resilient Error-bounded Lossy Compressor.
CoRR
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, 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 B conf
Toward Feature-Preserving 2D and 3D Vector Field Compression.
PacificVis
Xin Liang, Hanqi Guo, Sheng Di, Franck Cappello, Mukund Raj, Chunhui Liu, Kenji Ono, Zizhong Chen, Tom Peterka
2020 C conf
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
CLUSTER
Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello
2020 B conf
Visualization as a Service for Scientific Data.
SMC
David Pugmire, James Kress, Jieyang Chen, Hank Childs, Jong Choi, Dmitry Ganyushin, Berk Geveci, Mark Kim, Scott Klasky, Xin Liang, Jeremy Logan, Nicole Marsaglia, Kshitij Mehta, Norbert Podhorszki, Caitlin Ross, Eric Suchyta, Nick Thompson, Steven Walton, Lipeng Wan, Matthew Wolf
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 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 A conf
FT-iSort: efficient fault tolerance for introsort.
SC
Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, Zizhong Chen
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 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 — —
Toward Resilience and Data Reduction in Exascale Scientific Computing.
Xin Liang
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
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 A conf
BeeFlow: A Workflow Management System for In Situ Processing across HPC and Cloud Systems.
ICDCS
Jieyang Chen, Qiang Guan, Zhao Zhang, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Patricia Grubel, Tim Randles, Zizhong Chen, James P. Ahrens
2018 — conf
Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
IEEE BigData
Jieyang Chen, Qiang Guan, Xin Liang, Paul Bryant, Patricia Grubel, Allen McPherson, Li-Ta Lo, Timothy Randles, Zizhong Chen, James Paul Ahrens
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 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 — conf
Optimizing Lossy Compression with Adjacent Snapshots for N-body Simulation Data.
IEEE BigData
Sihuan Li, 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 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 J jnl
Docker-Enabled Build and Execution Environment (BEE): an Encapsulated Environment Enabling HPC Applications Running Everywhere.
CoRR
Jieyang Chen, Qiang Guan, Xin Liang, Louis James Vernon, Allen McPherson, Li-Ta Lo, Zizhong Chen, James Paul Ahrens
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
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
Online Algorithm-Based Fault Tolerance for Cholesky Decomposition on Heterogeneous Systems with GPUs.
IPDPS
Jieyang Chen, Xin Liang, 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
2015 — conf
Simulated Annealing to Generate Numerically Stable Real Number Error Correction Codes.
HPCC/CSS/ICESS
Teresa Davies, Xin Liang, Jieyang Chen, Zizhong Chen