English

Reducing the memory usage of Lattice-Boltzmann schemes with a DWT-based compression

Hardware Architecture 2023-02-21 v1 Distributed, Parallel, and Cluster Computing

Abstract

This paper presents a new solution to address the challenge of increasing memory usage in high-performance computing simulations of Lattice-Bolzmann or Finite-Volume schemes.Our approach utilises a lossy compression scheme based on the Discrete Wavelet Transform (DWT) to achieve high compression ratios while preserving the accuracy of the simulation.Our evaluation on two different FV/LBM schemes demonstrates that the approach can reduce memory usage by several orders of magnitude.

Keywords

Cite

@article{arxiv.2302.09883,
  title  = {Reducing the memory usage of Lattice-Boltzmann schemes with a DWT-based compression},
  author = {Clément Flint and Philippe Helluy},
  journal= {arXiv preprint arXiv:2302.09883},
  year   = {2023}
}
R2 v1 2026-06-28T08:44:20.518Z