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A Survey on Error-Bounded Lossy Compression for Scientific Datasets

A Survey on Error-Bounded Lossy Compression for Scientific Datasets

3 April 2024
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
Bo Zhang
Jon C. Calhoun
Guanpeng Li
Kazutomo Yoshii
Khalid Ayed Alharthi
Franck Cappello
    AI4CE
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Papers citing "A Survey on Error-Bounded Lossy Compression for Scientific Datasets"

26 / 26 papers shown
Title
LCP: Enhancing Scientific Data Management with Lossy Compression for
  Particles
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
51
1
0
01 Nov 2024
High-performance Effective Scientific Error-bounded Lossy Compression
  with Auto-tuned Multi-component Interpolation
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
36
20
0
20 Nov 2023
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time
  Projection Chamber Data
Fast 2D Bicephalous Convolutional Autoencoder for Compressing 3D Time Projection Chamber Data
Yi Huang
Yihui Ren
Shinjae Yoo
Jin-zhi Huang
36
4
0
23 Oct 2023
Black-Box Statistical Prediction of Lossy Compression Ratios for
  Scientific Data
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data
Robert Underwood
J. Bessac
David Krasowska
Jon C. Calhoun
Sheng Di
Franck Cappello
121
6
0
15 May 2023
An Optimized Error-controlled MPI Collective Framework Integrated with
  Lossy Compression
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
Jiajun Huang
Sheng Di
Xiaodong Yu
Yujia Zhai
Zhaorui Zhang
...
Kai Zhao
Zizhong Chen
Franck Cappello
Yan-Hua Guo
R. Thakur
37
15
0
08 Apr 2023
TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations
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
36
5
0
05 Jan 2023
Compressing multidimensional weather and climate data into neural
  networks
Compressing multidimensional weather and climate data into neural networks
La-mei Huang
Torsten Hoefler
AI4CE
106
33
0
22 Oct 2022
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial
  Crystallography
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography
Robert Underwood
Chun Hong Yoon
A. M. Gok
Sheng Di
Franck Cappello
31
6
0
22 Jun 2022
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional
  Adaptive Mesh Refinement Simulations
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
27
11
0
01 Apr 2022
Efficient Data Compression for 3D Sparse TPC via Bicephalous
  Convolutional Autoencoder
Efficient Data Compression for 3D Sparse TPC via Bicephalous Convolutional Autoencoder
Yi Huang
Yihui Ren
Shinjae Yoo
Jin-zhi Huang
33
10
0
09 Nov 2021
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded
  Lossy Compressors
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
98
0
04 Nov 2021
Exploring Autoencoder-based Error-bounded Compression for Scientific
  Data
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
49
49
0
25 May 2021
Compressive Neural Representations of Volumetric Scalar Fields
Compressive Neural Representations of Volumetric Scalar Fields
Yuzhe Lu
K. Jiang
Joshua A. Levine
M. Berger
AI4CE
68
89
0
11 Apr 2021
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological
  Simulations
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
Sian Jin
Pascal Grosset
C. Biwer
Jesus Pulido
Jiannan Tian
Dingwen Tao
J. Ahrens
AI4CE
39
44
0
01 Apr 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
329
1,904
0
17 Sep 2019
PowerSGD: Practical Low-Rank Gradient Compression for Distributed
  Optimization
PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization
Thijs Vogels
Sai Praneeth Karimireddy
Martin Jaggi
90
323
0
31 May 2019
Implicit Self-Regularization in Deep Neural Networks: Evidence from
  Random Matrix Theory and Implications for Learning
Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning
Charles H. Martin
Michael W. Mahoney
AI4CE
101
201
0
02 Oct 2018
TTHRESH: Tensor Compression for Multidimensional Visual Data
TTHRESH: Tensor Compression for Multidimensional Visual Data
R. Ballester-Ripoll
Peter Lindstrom
R. Pajarola
45
142
0
15 Jun 2018
Sparse Binary Compression: Towards Distributed Deep Learning with
  minimal Communication
Sparse Binary Compression: Towards Distributed Deep Learning with minimal Communication
Felix Sattler
Simon Wiedemann
K. Müller
Wojciech Samek
MQ
58
214
0
22 May 2018
Deep Gradient Compression: Reducing the Communication Bandwidth for
  Distributed Training
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Chengyue Wu
Song Han
Huizi Mao
Yu Wang
W. Dally
133
1,407
0
05 Dec 2017
InfoVAE: Information Maximizing Variational Autoencoders
InfoVAE: Information Maximizing Variational Autoencoders
Shengjia Zhao
Jiaming Song
Stefano Ermon
DRL
83
446
0
07 Jun 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep
  Learning
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning
W. Wen
Cong Xu
Feng Yan
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
140
989
0
22 May 2017
Sparse Communication for Distributed Gradient Descent
Sparse Communication for Distributed Gradient Descent
Alham Fikri Aji
Kenneth Heafield
66
741
0
17 Apr 2017
qHiPSTER: The Quantum High Performance Software Testing Environment
qHiPSTER: The Quantum High Performance Software Testing Environment
M. Smelyanskiy
Nicolas P. D. Sawaya
Alán Aspuru-Guzik
30
167
0
26 Jan 2016
Compressing molecular dynamics trajectories: breaking the
  one-bit-per-sample barrier
Compressing molecular dynamics trajectories: breaking the one-bit-per-sample barrier
Jan Huwald
S. Richter
P. Dittrich
21
13
0
08 Jan 2016
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,386
0
04 Sep 2014
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