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TTHRESH: Tensor Compression for Multidimensional Visual Data

15 June 2018

Papers citing "TTHRESH: Tensor Compression for Multidimensional Visual Data"

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Title
From Cluster to Desktop: A Cache-Accelerated INR framework for Interactive Visualization of Tera-Scale Data Daniel Zavorotny Qi Wu David Bauer Kwan-Liu Ma 170 0 0 25 Apr 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 138 2 0 03 Mar 2025
Error-controlled Progressive Retrieval of Scientific Data under Derivable Quantities of Interest Xuan Wu Qian Gong Jieyang Chen Qing Liu N. Podhorszki Xin Liang S. Klasky 55 5 0 08 Nov 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 52 1 0 17 Oct 2024
A framework for compressing unstructured scientific data via serialization Viktor Reshniak Qian Gong Rick Archibald S. Klasky N. Podhorszki AI4CE 77 0 0 10 Oct 2024
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression Yuxiao Li Xin Liang Xin Liang Bei Wang Hanqi Guo 60 0 0 25 Sep 2024
HoSZp: An Efficient Homomorphic 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 Franck Cappello 49 3 0 21 Aug 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 71 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 69 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 76 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 63 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 88 16 0 03 Apr 2024
Efficient Neural Representation of Volumetric Data using Coordinate-Based Networks Sudarshan Devkota S. Pattanaik MedIm 77 1 0 16 Jan 2024
MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring Qian Gong Jieyang Chen Ben Whitney Xin Liang Viktor Reshniak ... Ana Gainaru N. Podhorszki Rick Archibald Sanjay Ranka S. Klasky 67 20 0 11 Jan 2024
Scalable Volume Visualization for Big Scientific Data Modeled by Functional Approximation Jianxin Sun David Lenz Hongfeng Yu Tom Peterka 18 3 0 22 Dec 2023
A Prediction-Traversal Approach for Compressing Scientific Data on Unstructured Meshes with Bounded Error Congrong Ren Xin Liang Hanqi Guo 59 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 41 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 59 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 62 30 0 21 Oct 2023
ECNR: Efficient Compressive Neural Representation of Time-Varying Volumetric Datasets Kaiyuan Tang Chaoli Wang 72 8 0 02 Oct 2023
TensorCodec: Compact Lossy Compression of Tensors without Strong Data Assumptions Taehyung Kwon Jihoon Ko Jinhong Jung Kijung Shin 104 4 0 19 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 93 8 0 07 Sep 2023
A General Framework for Progressive Data Compression and Retrieval V. Magri P. Lindstrom 42 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 86 11 0 16 Jul 2023
Optimizing Scientific Data Transfer on Globus with Error-bounded Lossy Compression Yuanjian Liu Sheng Di Kyle Chard Ian Foster Franck Cappello 59 9 0 11 Jul 2023
Neural Fields for Interactive Visualization of Statistical Dependencies in 3D Simulation Ensembles Fatemeh Farokhmanesh Kevin Höhlein Christoph Neuhauser Tobias Necker Martin Weissmann Takemasa Miyoshi Rüdiger Westermann 3DV AI4CE 90 4 0 05 Jul 2023
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data Robert Underwood J. Bessac David Krasowska Jon C. Calhoun Sheng Di Franck Cappello 126 6 0 15 May 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 43 21 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 71 2 0 28 Mar 2023
Tensor Networks Meet Neural Networks: A Survey and Future Perspectives Maolin Wang Yu Pan Zenglin Xu Xiangli Yang Guangxi Li A. Cichocki Andrzej Cichocki 187 22 0 22 Jan 2023
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations Daoce Wang Jesus Pulido Pascal Grosset Sian Jin Jiannan Tian Kai Zhao James Arhens Dingwen Tao 53 5 0 05 Jan 2023
Compressing multidimensional weather and climate data into neural networks La-mei Huang Torsten Hoefler AI4CE 113 34 0 22 Oct 2022
TT-NF: Tensor Train Neural Fields Anton Obukhov Mikhail (Misha) Usvyatsov Daniel Gehrig Konrad Schindler Luc Van Gool 98 7 0 30 Sep 2022
T4DT: Tensorizing Time for Learning Temporal 3D Visual Data Mikhail (Misha) Usvyatsov Rafael Ballester-Rippoll Lina Bashaeva Konrad Schindler Gonzalo Ferrer Ivan Oseledets 3DGS 72 3 0 02 Aug 2022
Interactive Volume Visualization via Multi-Resolution Hash Encoding based Neural Representation Qi Wu David Bauer Michael J. Doyle Kwan-Liu Ma 3DH 122 20 0 23 Jul 2022
MFA-DVR: Direct Volume Rendering of MFA Models Jianxin Sun David Lenz Hongfeng Yu Tom Peterka 16 9 0 25 Apr 2022
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations Daoce Wang Jesus Pulido Pascal Grosset Sian Jin Jiannan Tian J. Ahrens Dingwen Tao 33 11 0 01 Apr 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 44 9 0 31 Jan 2022
Fast Neural Representations for Direct Volume Rendering S. Weiss Philipp Hermüller Rüdiger Westermann 90 42 0 02 Dec 2021
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors Xin Liang Kai Zhao Sheng Di Sihuan Li Robert Underwood ... Junjing Deng Jon C. Calhoun Dingwen Tao Zizhong Chen Franck Cappello 62 99 0 04 Nov 2021
Tensor Methods in Computer Vision and Deep Learning Yannis Panagakis Jean Kossaifi Grigorios G. Chrysos James Oldfield M. Nicolaou Anima Anandkumar Stefanos Zafeiriou 57 125 0 07 Jul 2021
Deep Hierarchical Super Resolution for Scientific Data Skylar W. Wurster Hanqi Guo Han-Wei Shen T. Peterka Jiayi Xu 75 13 0 30 May 2021
Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation Mikhail (Misha) Usvyatsov Anastasia Makarova R. Ballester-Ripoll M. Rakhuba Andreas Krause Konrad Schindler 65 5 0 29 May 2021
Compressive Neural Representations of Volumetric Scalar Fields Yuzhe Lu K. Jiang Joshua A. Levine M. Berger AI4CE 78 91 0 11 Apr 2021
Protecting Big Data Privacy Using Randomized Tensor Network Decomposition and Dispersed Tensor Computation Jenn-Bing Ong W. Ng Ivan Tjuawinata Chao Li Jielin Yang Sai None Myne Huaxiong Wang K. Lam C.-C. Jay Kuo FedML 65 3 0 04 Jan 2021
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs Baodi Shan Aabid Shamji Jiannan Tian Guanpeng Li Dingwen Tao 19 6 0 24 Oct 2020
A Visual Analytics Framework for Reviewing Multivariate Time-Series Data with Dimensionality Reduction Takanori Fujiwara Shilpika Shilpika Naohisa Sakamoto J. Nonaka Keiji Yamamoto K. Ma AI4TS 90 38 0 02 Aug 2020
AMM: Adaptive Multilinear Meshes H. Bhatia D. Hoang G. Morrison Valerio Pascucci P. Bremer Peter Lindstrom 29 13 0 30 Jul 2020
Compression challenges in large scale PDE solvers Sebastian Götschel M. Weiser AI4CE 40 4 0 01 Jul 2019
Low-Rank Tucker Approximation of a Tensor From Streaming Data Yiming Sun Yang Guo Charlene Luo J. Tropp Madeleine Udell 67 73 0 24 Apr 2019