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Reducing the memory usage of structured grid solvers with wavelet compression
ESAIM. Proceedings, Tome 77 (2024), pp. 79-99 Cet article a éte moissonné depuis la source EDP Sciences

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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. 
@article{EP_2024_77_a4,
     author = {Cl\'ement Flint and Philippe Helluy},
     title = {Reducing the memory usage of structured grid solvers with wavelet compression},
     journal = {ESAIM. Proceedings},
     pages = {79--99},
     year = {2024},
     volume = {77},
     doi = {10.1051/proc/202477079},
     language = {en},
     url = {http://geodesic.mathdoc.fr/articles/10.1051/proc/202477079/}
}
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Clément Flint; Philippe Helluy. Reducing the memory usage of structured grid solvers with wavelet compression. ESAIM. Proceedings, Tome 77 (2024), pp. 79-99. doi: 10.1051/proc/202477079

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