Title
GraphComp: Extreme Error-bounded Compression of Scientific Data via Temporal Graph Autoencoders Guozhong Li Muhannad Alhumaidi Spiros Skiadopoulos Ibrahim Hoteit Panos Kalnis AI4CE 29 0 0 08 May 2025
Transforming Weather Data from Pixel to Latent Space Sijie Zhao Feng Liu Xueliang Zhang Hao Chen Tao Han Junchao Gong R. Tao Pengfeng Xiao Lei Bai Wanli Ouyang 42 0 0 09 Mar 2025
Lossy Neural Compression for Geospatial Analytics: A Review Carlos Gomes Isabelle Wittmann Damien Robert Johannes Jakubik Tim Reichelt ... Romeo Kienzler Rania Briq Sabrina Benassou Michele Lazzarini C. Albrecht 93 2 0 03 Mar 2025
Guaranteed Conditional Diffusion: 3D Block-based Models for Scientific Data Compression Jaemoon Lee Xiao Li Liangji Zhu Sanjay Ranka Anand Rangarajan DiffM 85 1 0 18 Feb 2025
Foundation Model for Lossy Compression of Spatiotemporal Scientific Data Xiao Li Jaemoon Lee Anand Rangarajan Sanjay Ranka 46 0 0 22 Dec 2024
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles Longtao Zhang Ruoyu Li Congrong Ren Sheng Di Jinyang Liu ... Dingwen Tao Xin Liang Hanqi Guo Franck Capello Kai Zhao 29 1 0 01 Nov 2024
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O Grant Wilkins Sheng Di Jon C. Calhoun Robert Underwood Franck Cappello 32 0 0 30 Oct 2024
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework Boyuan Zhang Bo Fang Fanjiang Ye Yida Gu Nathan Tallent Guangming Tan Dingwen Tao 29 1 0 17 Oct 2024
Enhancing Lossy Compression Through Cross-Field Information for Scientific Applications Youyuan Liu Wenqi Jia Taolue Yang Miao Yin Sian Jin 41 1 0 26 Sep 2024
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression Yuxiao Li Xin Liang Xin Liang Bei Wang Hanqi Guo 23 0 0 25 Sep 2024
Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework Zilinghan Li Shilan He Ze Yang Minseok Ryu Kibaek Kim Ravi K. Madduri FedML 60 6 0 17 Sep 2024
Lessons Learned on the Path to Guaranteeing the Error Bound in Lossy Quantizers Alex Fallin Martin Burtscher 13 1 0 21 Jul 2024
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 ... Summer Deng Yuchen Hao Pavan Balaji Tong Geng Dingwen Tao AI4CE 31 2 0 05 Jul 2024
A High-Quality Workflow for Multi-Resolution Scientific Data Reduction and Visualization Daoce Wang Pascal Grosset Jesus Pulido Tushar M. Athawale Jiannan Tian ... Z. Lukić A. Huebl Zhe Wang James Ahrens Dingwen Tao 38 3 0 05 Jul 2024
Machine Learning Techniques for Data Reduction of CFD Applications Jaemoon Lee Ki Sung Jung Qian Gong Xiao Li S. Klasky Jacqueline H. Chen Anand Rangarajan Sanjay Ranka 34 3 0 28 Apr 2024
MSz: An Efficient Parallel Algorithm for Correcting Morse-Smale Segmentations in Error-Bounded Lossy Compressors Yuxiao Li Xin Liang Bei Wang Yongfeng Qiu Lin Yan Hanqi Guo 39 4 0 05 Apr 2024
A Survey on Error-Bounded Lossy Compression for Scientific Datasets Sheng Di Jinyang Liu Kai Zhao Xin Liang Robert Underwood ... Jon C. Calhoun Guanpeng Li Kazutomo Yoshii Khalid Ayed Alharthi Franck Cappello AI4CE 32 13 0 03 Apr 2024
Hybrid Neural Representations for Spherical Data Hyomin Kim Yunhui Jang Jaeho Lee Sungsoo Ahn 38 3 0 05 Feb 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications Grant Wilkins Sheng Di Jon C. Calhoun Zilinghan Li Kibaek Kim Robert Underwood Richard Mortier Franck Cappello FedML 45 2 0 20 Dec 2023
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error Congrong Ren Xin Liang Hanqi Guo 17 3 0 11 Dec 2023
cuSZ- $i$ : High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation Jinyang Liu Jiannan Tian Shixun Wu Sheng Di Bo Zhang ... Kai Zhao Guanpeng Li Dingwen Tao Zizhong Chen Franck Cappello 16 2 0 09 Dec 2023
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 Franck Cappello 16 20 0 20 Nov 2023
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets Jinyang Liu Sheng Di Kai Zhao Xin Liang Zizhong Chen Franck Cappello 21 30 0 21 Oct 2023
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets Kaiyuan Tang Chaoli Wang 18 6 0 02 Oct 2023
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework Daoce Wang Jesus Pulido Guang-Zheng Zheng Yanjun Du James P. Ahrens Dingwen Tao 11 7 0 29 Sep 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks Jinyang Liu Sheng Di Sian Jin Kai Zhao Xin Liang Zizhong Chen Franck Cappello 32 8 0 07 Sep 2023
A General Framework for Progressive Data Compression and Retrieval V. Magri P. Lindstrom 16 5 0 07 Aug 2023
Adaptively Placed Multi-Grid Scene Representation Networks for Large-Scale Data Visualization Skylar W. Wurster Tianyu Xiong H. Shen Hanqi Guo Tom Peterka 22 9 0 16 Jul 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 ... Kai Zhao Bo Fang Franck Cappello J. Ahrens Dingwen Tao 17 14 0 13 Jul 2023
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression Yuanjian Liu Sheng Di Kyle Chard Ian Foster Franck Cappello 29 9 0 11 Jul 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs Bo Zhang Jiannan Tian Sheng Di Xiaodong Yu Yunhe Feng Xin Liang Dingwen Tao Franck Cappello 13 20 0 25 Apr 2023
Distributed Neural Representation for Reactive in situ Visualization Qi Wu J. Insley V. Mateevitsi S. Rizzi M. Papka Kwan-Liu Ma 26 1 0 28 Mar 2023
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 49 30 0 22 Oct 2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5 Sian Jin Dingwen Tao Houjun Tang Sheng Di S. Byna Z. Lukić Franck Cappello 28 18 0 29 Jun 2022
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific Datasets Xiaodong Yu Sheng Di Kai Zhao Jiannan Tian Dingwen Tao Xin Liang Franck Cappello 12 9 0 31 Jan 2022