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

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

19 July 2020
Jiannan Tian
Sheng Di
Kai Zhao
Cody Rivera
Megan Hickman Fulp
Robert Underwood
Sian Jin
Xin Liang
Jon C. Calhoun
Dingwen Tao
Franck Cappello
ArXivPDFHTML

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

13 / 13 papers shown
Title
What Operations can be Performed Directly on Compressed Arrays, and with
  What Error?
What Operations can be Performed Directly on Compressed Arrays, and with What Error?
Tripti Agarwal
Harvey Dam
Dorra Ben Khalifa
Matthieu Martel
P. Sadayappan
Ganesh Gopalakrishnan
AI4CE
23
6
0
17 Jun 2024
Machine Learning Techniques for Data Reduction of Climate Applications
Machine Learning Techniques for Data Reduction of Climate Applications
Xiao Li
Qian Gong
Jaemoon Lee
S. Klasky
Anand Rangarajan
Sanjay Ranka
20
1
0
01 May 2024
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression
  with Super-resolution Neural Networks
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
35
8
0
07 Sep 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing
  Applications on GPUs
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
17
20
0
25 Apr 2023
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on
  Modern GPUs
GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs
Bo Zhang
Jiannan Tian
Sheng Di
Xiaodong Yu
M. Swany
Dingwen Tao
Franck Cappello
23
12
0
14 Apr 2023
Planetary computing for data-driven environmental policy-making
Planetary computing for data-driven environmental policy-making
Patrick Ferris
Michael Dales
S. Jaffer
Amelia Holcomb
Eleanor Toye Scott
...
A. Eyres
A. Balmford
David A. Coomes
Srinivasan Keshav
Anil Madhavapeddy
30
0
0
08 Mar 2023
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU
  Heterogeneous Systems
Improving Energy Saving of One-sided Matrix Decompositions on CPU-GPU Heterogeneous Systems
Jieyang Chen
Xin Liang
Kai Zhao
H. Sabzi
L. Bhuyan
Zizhong Chen
24
4
0
09 Jan 2023
SZx: an Ultra-fast Error-bounded Lossy Compressor for Scientific
  Datasets
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
16
9
0
31 Jan 2022
COMET: A Novel Memory-Efficient Deep Learning Training Framework by
  Using Error-Bounded Lossy Compression
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression
Sian Jin
Chengming Zhang
Xintong Jiang
Yunhe Feng
Hui Guan
Guanpeng Li
Shuaiwen Leon Song
Dingwen Tao
30
23
0
18 Nov 2021
Lossy compression of statistical data using quantum annealer
Lossy compression of statistical data using quantum annealer
B. Yoon
N. T. Nguyen
Chia-Cheng Chang
E. Rrapaj
19
8
0
05 Oct 2021
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly
  Compression
Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly Compression
Jingcheng Shen
Yifan Wu
M. Okita
Fumihiko Ino
13
4
0
12 Sep 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
22
49
0
25 May 2021
A Novel Memory-Efficient Deep Learning Training Framework via
  Error-Bounded Lossy Compression
A Novel Memory-Efficient Deep Learning Training Framework via Error-Bounded Lossy Compression
Sian Jin
Guanpeng Li
Shuaiwen Leon Song
Dingwen Tao
AI4CE
29
12
0
18 Nov 2020
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