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MGARD: A multigrid framework for high-performance, error-controlled data
  compression and refactoring

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

11 January 2024
Qian Gong
Jieyang Chen
Ben Whitney
Xin Liang
Viktor Reshniak
Tania Banerjee-Mishra
Jaemoon Lee
Anand Rangarajan
Lipeng Wan
Nicolas Vidal
Qing Liu
Ana Gainaru
N. Podhorszki
Rick Archibald
Sanjay Ranka
S. Klasky
ArXivPDFHTML

Papers citing "MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring"

3 / 3 papers shown
Title
A framework for compressing unstructured scientific data via
  serialization
A framework for compressing unstructured scientific data via serialization
Viktor Reshniak
Qian Gong
Rick Archibald
S. Klasky
N. Podhorszki
AI4CE
25
0
0
10 Oct 2024
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression
Multi-Tier Preservation of Discrete Morse Smale Complexes in Error-Bounded Lossy Compression
Yuxiao Li
Xin Liang
Xin Liang
Bei Wang
Hanqi Guo
21
0
0
25 Sep 2024
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
14
5
0
05 Jan 2023
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