A graphic processing unit implementation for the moment representation of the lattice Boltzmann method

Author:

Ferrari Marco A.1ORCID,de Oliveira Waine B.1ORCID,Lugarini Alan1ORCID,Franco Admilson T.1ORCID,Hegele Luiz A.2ORCID

Affiliation:

1. Research Center for Rheology and Non‐Newtonian Fluids (CERNN), Postgraduate Program in Mechanical and Materials Engineering Federal University of Technology – Paraná (UTFPR) Curitiba Brazil

2. Department of Petroleum Engineering Santa Catarina State University – UDESC Balneário Camboriú Brazil

Abstract

AbstractWe implement the moment representation of the lattice Boltzmann method in a graphic processing unit (GPU) environment to study the computational performance of three‐dimensional fluid flows. The moment representation of the lattice Boltzmann method (MRLBM) uses up to second‐order moments of the particle distribution function to regularize and reconstruct it. By adopting this method, there is a reduction in memory usage and global memory transfer and, therefore, increased performance. The results show an increase of up to 40% in speed compared to population schemes. The validation results show there was no loss of accuracy when using single precision for turbulent flows. The adoption of single‐precision also enables higher processing speed for GPUs with low double‐precision capability and reduces the memory footprint, which can further increase performance. The implementation here presented provides a fast and straightforward environment for fluid simulation by combining single‐precision and the MRLBM.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa e Inovação do Estado de Santa Catarina

Publisher

Wiley

Subject

Applied Mathematics,Computer Science Applications,Mechanical Engineering,Mechanics of Materials,Computational Mechanics

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Turbulent flow inside a cubic lid-driven cavity using moment representation lattice Boltzmann method;Physics of Fluids;2024-07-01

2. A highly-efficient locally encoded boundary scheme for lattice Boltzmann method on GPU;Computer Physics Communications;2024-05

3. High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows;ACM Transactions on Graphics;2023-12-05

4. Moment Representation of Regularized Lattice Boltzmann Methods on NVIDIA and AMD GPUs;Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis;2023-11-12

5. Exploring the periodic behavior of the lid-driven cavity flow filled with a Bingham fluid;Journal of Non-Newtonian Fluid Mechanics;2023-06

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