Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs
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Valero-Lara, P; Vetter, J; Gounley, J; Randles, A
Published in: ACM International Conference Proceeding Series
November 12, 2023
The lattice Boltzmann method is a highly scalable Navier-Stokes solver that has been applied to flow problems in a wide array of domains. However, the method is bandwidth-bound on modern GPU accelerators and has a large memory footprint. In this paper, we present new 2D and 3D GPU implementations of two different regularized lattice Boltzmann methods, which are not only able to achieve an acceleration of ~1.4 × w.r.t. reference lattice Boltzmann implementations but also reduce the memory requirements by up to 35% and 47% in 2D and 3D simulations respectively. These new approaches are evaluated on NVIDIA and AMD GPU architectures.
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ACM International Conference Proceeding Series
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Publication Date
November 12, 2023
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1697 / 1704
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Valero-Lara, P., Vetter, J., Gounley, J., & Randles, A. (2023). Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. In ACM International Conference Proceeding Series (pp. 1697–1704). https://doi.org/10.1145/3624062.3624250
Valero-Lara, P., J. Vetter, J. Gounley, and A. Randles. “Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs.” In ACM International Conference Proceeding Series, 1697–1704, 2023. https://doi.org/10.1145/3624062.3624250.
Valero-Lara P, Vetter J, Gounley J, Randles A. Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. In: ACM International Conference Proceeding Series. 2023. p. 1697–704.
Valero-Lara, P., et al. “Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs.” ACM International Conference Proceeding Series, 2023, pp. 1697–704. Scopus, doi:10.1145/3624062.3624250.
Valero-Lara P, Vetter J, Gounley J, Randles A. Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs. ACM International Conference Proceeding Series. 2023. p. 1697–1704.
Published In
ACM International Conference Proceeding Series
DOI
Publication Date
November 12, 2023
Start / End Page
1697 / 1704