WaveRange: wavelet-based data compression for three-dimensional numerical simulations on regular grids

Dmitry Kolomenskiy, Ryo Onishi, Hitoshi Uehara

Research output: Contribution to journalArticlepeer-review

Abstract

Abstract: A wavelet-based method for compression of three-dimensional simulation data is presented and its software framework is described. It uses wavelet decomposition and subsequent range coding with quantization suitable for floating-point data. The effectiveness of this method is demonstrated by applying it to example numerical tests, ranging from idealized configurations to realistic global-scale simulations. The novelty of this study is in its focus on assessing the impact of compression on post-processing and restart of numerical simulations. Graphical abstract: [Figure not available: see fulltext.].

Original languageEnglish
JournalJournal of Visualization
DOIs
Publication statusPublished - 2022

Keywords

  • Data compression
  • High-performance computing
  • Wavelets

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