Issue |
ESAIM: ProcS
Volume 77, 2024
CEMRACS 2022 - Transport in physics, biology and urban traffic
|
|
---|---|---|
Page(s) | 79 - 99 | |
DOI | https://doi.org/10.1051/proc/202477079 | |
Published online | 18 November 2024 |
Reducing the memory usage of structured grid solvers with wavelet compression
* e-mail: clement.flint@inria.fr
** e-mail: philippe.helluy@unistra.fr
This paper presents a new solution to address the challenge of increasing memory usage in high-performance computing simulations on structured grids. Our approach utilizes 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 a finite volume scheme demonstrates that the approach can reduce memory usage by several orders of magnitude.
Résumé
Ce papier présente une nouvelle solution pour faire face à l’augmentation de l’utilisation de la mémoire dans les simulations haute performance sur des grilles structurées. Notre approche utilise un schéma de compression avec perte basé sur la transformée par ondelettes discrète pour obtenir des taux de compression élevés tout en préservant la précision de la simulation. Notre évaluation sur un schéma de volumes finis démontre que l’approche peut réduire l’utilisation de la mémoire de plusieurs ordres de grandeur.
© EDP Sciences, SMAI 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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