Publications

hZCCL2: Co-Designing Collective Communication with Vectorized Homomorphic Compression

Jiefeng Zhou, Sheng Di, Yanfei Guo, Yuhao Guo, Lingqi Zhang, Kai Zhao, Rajeev Thakur, Franck Cappello, Jiajun Huang

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Chicago, IL, USA, Nov 15-20, 2026.

LLM Agents Meet Lossy Compression: Benchmark, Demystify and Optimize across HPC Architectures

Changqing Li, Sheng Di, Kai Zhao, Wenqian Dong

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Chicago, IL, USA, Nov 15-20, 2026.

Eureka: Enabling Fine-Grained Access and Range Queries on Compressed Scientific Data via Data-Index Co-Compression

Ning Yan, Sheng Di, Kai Zhao, Lipeng Wan

Proceedings of the 52nd International Conference on Very Large Data Bases, Boston, MA, USA, Aug 31 - Sep 4, 2026. Also in Proceedings of the VLDB Endowment, Volume 19, Issue 4, pp. 631-643.

Error-bounded Point Cloud Compression Using Truncated Octahedron Quantization

Youyuan Liu, Longtao Zhang, Ruoyu Li, Bo Jiang, Taolue Yang, Kai Zhao, Sheng Di, Eduard Dragut, Sian Jin

Proceedings of the 52nd International Conference on Very Large Data Bases, Boston, MA, USA, Aug 31 - Sep 4, 2026.

TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition

Zhuoxun Yang, Ruoyu Li, Amit Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao

Proceedings of the 35th ACM International Symposium on High-Performance Parallel and Distributed Computing, Cleveland, OH, USA, July 13-16, 2026.

OPAL: On-demand Progressive Accelerated Scientific Lossy Compression

Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao

Proceedings of the 35th ACM International Symposium on High-Performance Parallel and Distributed Computing, Cleveland, OH, USA, July 13-16, 2026.

Bridging Information Theory and Practice for Scientific Lossy Compression

Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello

Proceedings of the 35th ACM International Symposium on High-Performance Parallel and Distributed Computing, Cleveland, OH, USA, July 13-16, 2026.

GPZ: GPU-Accelerated Lossy Compressor for Particle Data

Ruoyu Li, Yafan Huang, Longtao Zhang, Zhuoxun Yang, Sheng Di, Boyuan Zhang, Jiajun Huang, Jinyang Liu, Jiannan Tian, Guanpeng Li, Fengguang Song, Hanqi Guo, Franck Cappello, Kai Zhao

40th ACM International Conference on Supercomputing, Belfast, United Kingdom, 6-9 July, 2026.

Enabling Homomorphic Analytical Operations on Compressed Scientific Data with Multi-stage Decompression

Xuan Wu, Sheng Di, Tripti Agarwal, Kai Zhao, Xin Liang, Franck Cappello

Proceedings of the 42nd IEEE International Conference on Data Engineering, Montreal, QC, Canada, May 4 - 8, 2026.

Boosting Scientific Error-Bounded Lossy Compression through Optimized Synergistic Lossy-Lossless Orchestration

Shixun Wu, Jinwen Pan, Jinyang Liu, Jiannan Tian, Ziwei Qiu, Jiajun Huang, Kai Zhao, Xin Liang, Sheng Di, Zizhong Chen, Franck Cappello

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, Nov 16-21, 2025.

STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data

Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James Ahrens, Fengguang Song

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, Nov 16-21, 2025.

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 Bozdağ, 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 Lukić, 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

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, Nov 16-21, 2025.

IPComp: Interpolation Based Progressive Lossy Compression for Scientific Applications

Zhuoxun Yang, Sheng Di, Longtao Zhang, Ruoyu Li, Ximiao Li, Jiajun Huang, Jinyang Liu, Franck Cappello, Kai Zhao

Proceedings of the 34th ACM International Symposium on High-Performance Parallel and Distributed Computing, Notre Dame, IN, USA, July 20-23, 2025.

QPET: A Versatile and Portable Quantity-of-Interest-preservation Framework for Error-Bounded Lossy Compression

Jinyang Liu, Pu Jiao, Kai Zhao, Xin Liang, Sheng Di, and Franck Cappello

Proceedings of the 51st International Conference on Very Large Data Bases, London, UK, Sept 1 - 5, 2025.

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles

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

Proceedings of the ACM SIGMOD International Conference on Management of Data, Berlin, Germany, June 22-27, 2025.

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 Lukić, Axel Huebl, Zhe Wang, James Ahrens, Dingwen Tao

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, Nov 17-22, 2024.

hZCCL: Accelerating Collective Communication with Co-Designed Homomorphic Compression

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

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, Nov 17-22, 2024.

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

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, Atlanta, GA, USA, Nov 17-22, 2024.

gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Jinyang Liu, Yafan Huang, Ken Raffenetti, Hui Zhou, Kai Zhao, Xiaoyi Lu, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

38th ACM International Conference on Supercomputing (ACM ICS2024), Kyoto, Japan, 2024.

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction

Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello

Proceedings of the 38th IEEE International Parallel and Distributed Processing Symposium, San Francisco, CA, USA, 2024.

An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression

Jiajun Huang, Sheng Di, Xiaodong Yu, Yujia Zhai, Zhaorui Zhang, Jinyang Liu, Xiaoyi Lu, Ken Raffenetti, Hui Zhou, Kai Zhao, Zizhong Chen, Franck Cappello, Yanfei Guo, Rajeev Thakur

Proceedings of the 38th IEEE International Parallel and Distributed Processing Symposium, San Francisco, CA, USA, 2024.

Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points

Mingze Xia, Sheng Di, Franck Cappello, Pu Jiao, Kai Zhao, Jinyang Liu, Xuan Wu, Xin Liang, Hanqi Guo

Proceedings of the 40th IEEE International Conference on Data Engineering, Utrecht, Netherlands, May 13 - 16, 2024.

High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Sian Jin, Zizhe Jian, Jiajun Huang, Shixun Wu, Zizhong Chen, and Franck Cappello

Proceedings of the 2024 International Conference on Management of Data, Santiago, Chile, June 9 - 15, 2024.

SECRE: Surrogate-based Error-controlled Lossy Compression Ratio Estimation Framework

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian Foster, and Franck Cappello

Proceedings of the IEEE 30th International Conference on High Performance Computing, Data, and Analytics, Goa, India, Dec 18 - 21, 2023.

Exploring Wavelet Transform Usages for Error-bounded Scientific Data Compression

Jiajun Huang, Jinyang Liu, Sheng Di, Yujia Zhai, Zizhe Jian, Shixun Wu, Kai Zhao, Zizhong Chen, Yanfei Guo, and Franck Cappello

Proceedings of 2023 IEEE International Conference on Big Data, Sorrento, Italy, Dec 15 - 18, 2023.

Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks

Jinyang Liu, Sheng Di, Sian Jin, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello

Proceedings of 2023 IEEE International Conference on Big Data, Sorrento, Italy, Dec 15 - 18, 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 Sexton, Sheng Di, Kai Zhao, Bo Fang, Zarija Lukić, Franck Cappello, James Ahrens, and Dingwen Tao

Proceedings of the 35th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 12 - 17, 2023.

Toward Quantity-of-Interest Preserving Lossy Compression for Scientific Data

Pu Jiao, Sheng Di, Hanqi Guo, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, and Franck Cappello

Proceedings of the 49th International Conference on Very Large Data Bases, Vancouver, Canada, Aug 28 - Sep 1, 2023.

FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello

Proceedings of the 37th ACM International Conference on Supercomputing, Orlando, FL, USA, June 21 - 23, 2023.

Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression

Yafan Huang, Kai Zhao, Sheng Di, Guanpeng Li, Maxim Dmitriev, Thierry-Laurent D. Tonellot, and Franck Cappello

Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, Bangalore, India, May 1 - May 4, 2023.

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets

Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, and Franck Cappello

Proceedings of the 39th IEEE International Conference on Data Engineering, Anaheim, CA, USA, April 3 - 7, 2023.

Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems

Jieyang Chen, Xin Liang, Kai Zhao, Hadi Zamani Sabzi, Laxmi Bhuyan, and Zizhong Chen

Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, Montreal, QC, Canada, Feb 25 - Mar 1, 2023.

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 Foster, and Franck Cappello

Proceedings of the IEEE 28th International Conference on High Performance Computing, Data, and Analytics, Bengaluru, India, Dec 17-20, 2022.

Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets

Jinyang Liu, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello

Proceedings of the 34th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, Nov 13 - 18, 2022. Acceptance Rate: 25.3% (81/320)

Ultrafast Error-bounded Lossy Compression for Scientific Datasets

Xiaodong Yu, Sheng Di, Kai Zhao, Jiannan Tian, Dingwen Tao, Xin Liang, and Franck Cappello

Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, June 27 - July 1, 2022. Acceptance Rate: 19% (21/108)

MDZ: An Efficient Error-bounded Lossy Compressor for Molecular Dynamics

Kai Zhao, Sheng Di, Danny Perez, Xin Liang, Zizhong Chen, and Franck Cappello

Proceedings of the 38th IEEE International Conference on Data Engineering, Kuala Lumpur, Malaysia, May 9 - 12, 2022.

Resilient Error-bounded Lossy Compressor for Data Transfer

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, Franck Cappello

Proceedings of the 33rd ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, St. Louis, MO, USA, Nov 14 - 19, 2021. Acceptance Rate: 23.6% (86/365)

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

Proceedings of the 23rd IEEE International Conference on Cluster Computing, Portland, OR, USA, Sep 7 - 10, 2021. Acceptance Rate: 29% (48/163)

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

Proceedings of the 23rd IEEE International Conference on Cluster Computing, Portland, OR, USA, Sep 7 - 10, 2021. Acceptance Rate: 29% (48/163)

FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance

Yujia Zhai, Elisabeth Giem, Quan Fan, Kai Zhao, Jinyang Liu, and Zizhong Chen

Proceedings of the 35th ACM International Conference on Supercomputing, Virtual Event, USA, June 14 - 17, 2021. Acceptance Rate: 24% (38/157)

Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation

Kai Zhao, Sheng Di, Maxim Dmitriev, Thierry-Laurent D. Tonellot, Zizhong Chen, and Franck Cappello

Proceedings of the 37th IEEE International Conference on Data Engineering, Chania, Greece, Apr 19 - 22, 2021. Acceptance Rate: 27% (151/549)

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data

Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, and Franck Cappello

Proceedings of the 29th International Conference on Parallel Architectures and Compilation Techniques, Virtual Event, GA, USA, Oct 3 - 7, 2020. Acceptance Rate: 25% (35/137)

Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression

Sihuan Li, Sheng Di, Kai Zhao, Xin Liang, Zizhong Chen, and Franck Cappello

Proceedings of the 22nd IEEE International Conference on Cluster Computing, Kobe, Japan, Sep 14 - 17, 2020. Acceptance Rate: 24% (32/132)

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, and Franck Cappello

Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, Stockholm, Sweden, June 23 - 26, 2020. Acceptance Rate: 22% (16/71)

FT-iSort: Efficient Fault Tolerance for Introsort

Sihuan Li, Hongbo Li, Xin Liang, Jieyang Chen, Elisabeth Giem, Kaiming Ouyang, Kai Zhao, Sheng Di, Franck Cappello, and Zizhong Chen

Proceedings of the 31st ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Denver, CO, USA, Nov 17 - 22, 2019. Acceptance Rate: 20% (72/344)

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, and Zizhong Chen

Proceedings of the 33rd ACM International Conference on Supercomputing, Phoenix, AZ, USA, June 26 - 28, 2019. Acceptance Rate: 23% (45/193)

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, and Zizhong Chen

Proceedings of the 30th ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, Dallas, TX, USA, Nov 11 - 16, 2018. Acceptance Rate: 19% (55/288)

SLyCE: An Efficient Surrogate-based Lossy Compression Quality Estimation Framework

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian Foster, and Franck Cappello

IEEE Transactions on Big Data, 2026.

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

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 C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayed Alharthi, and Franck Cappello

ACM Computing Surveys, 2025.

FedCSpc: A Cross-Silo Federated Learning System with Error-Bounded Lossy Parameter Compression

Zhaorui Zhang, Sheng Di, Kai Zhao, Sian Jin, Dingwen Tao, Zhuoran Ji, Benben Liu, Khalid Alharthi, Jiannong Cao, and Franck Cappello

IEEE Transactions on Parallel and Distributed Systems, 2025.

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

Daoce Wang, Jesus Pulido, Pascal Grosset, Sian Jin, Jiannan Tian, Kai Zhao, James Ahrens, and Dingwen Tao

IEEE Transactions on Parallel and Distributed Systems, Volume 35, Issue 3, pp. 421-438, March 2024.

FT-BLAS: A Fault Tolerant High Performance BLAS Implementation on x86 CPUs

Yujia Zhai, Elisabeth Giem, Kai Zhao, Jinyang Liu, Jiajun Huang, Bryan Wong, Christian Shelton, and Zizhong Chen

IEEE Transactions on Parallel and Distributed Systems, 2023.

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors

Xin Liang*, Kai Zhao*, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, and Franck Cappello

IEEE Transactions on Big Data. August 2022. *Authors contributed equally.

Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian Foster, and Franck Cappello

IEEE Transactions on Parallel and Distributed Systems, July 2022.

Algorithm-Based Fault Tolerance for Convolutional Neural Networks

Kai Zhao, Sheng Di, Sihuan Li, Xin Liang, Yujia Zhai, Jieyang Chen, Kaiming Ouyang, Franck Cappello and Zizhong Chen

IEEE Transactions on Parallel and Distributed Systems, Volume 32, Issue 7, July 2021.

Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion

Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, and Sheng Di

Proceedings of the 11th International Workshop on Data Analysis and Reduction for Big Scientific Data @SC'25, St. Louis, MO, USA, Nov 17, 2025.

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data

Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, and Franck Cappello

Proceedings of the 10th International Workshop on Data Analysis and Reduction for Big Scientific Data @SC'24, Atlanta, GA, USA, Nov 18, 2024.

An Efficient and Accurate Compression Ratio Estimation Model for SZx

Arham Khan, Sheng Di, Kai Zhao, Jinyang Liu, Kyle Chard, Ian Foster, and Franck Cappello

Proceedings of the 2023 IEEE International Conference on Cluster Computing Workshops, Santa Fe, NM, USA, Oct 31 - Nov 3, 2023.

Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques

Jinyang Liu, Sihuan Li, Sheng Di, Xin Liang, Kai Zhao, Dingwen Tao, Zizhong Chen, and Franck Cappello

Proceedings of the 2nd International Workshop on Big Data Reduction @BigData'21, Orlando, FL, USA, Dec 15 - 18, 2021.

SDRBench: Scientific Data Reduction Benchmark for Lossy Compressors

Kai Zhao, Sheng Di, Xin Liang, Sihuan Li, Dingwen Tao, Julie Bessac, Zizhong Chen, and Franck Cappello

Proceedings of the 1st International Workshop on Big Data Reduction @BigData'20, Atlanta, GA, USA, Dec 10 - 13, 2020.

Understanding Effectiveness of Multi-error-bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis

Yuanjian Liu, Sheng Di, Kai Zhao, Sian Jin, Cheng Wang, Kyle Chard, Dingwen Tao, Ian Foster, and Franck Cappello

Proceedings of the 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, St. Louis, MO, USA, Nov 14th, 2021.