Multi-thread implementations of the lattice Boltzmann method on non-uniform grids for CPUs and GPUs

Two multi-thread based parallel implementations of the lattice Boltzmann method for non-uniform grids on different hardware platforms are compared in this paper: a multi-core CPU implementation and an implementation on General Purpose Graphics Processing Units (GPGPU). Both codes employ second order...

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Published inComputers & mathematics with applications (1987) Vol. 61; no. 12; pp. 3730 - 3743
Main Authors Schönherr, M., Kucher, K., Geier, M., Stiebler, M., Freudiger, S., Krafczyk, M.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.06.2011
Subjects
Central processing units
Computation
GPU
Hardware
Interpolation
Joining
Lattice Boltzmann
Lattices
Mathematical analysis
Multi-core
Multi-scale
Platforms
Lattice Boltzmann
Multi-scale
GPU
Multi-core
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Summary:Two multi-thread based parallel implementations of the lattice Boltzmann method for non-uniform grids on different hardware platforms are compared in this paper: a multi-core CPU implementation and an implementation on General Purpose Graphics Processing Units (GPGPU). Both codes employ second order accurate compact interpolation at the interfaces, coupling grids of different resolutions. Since the compact interpolation technique is both simple and accurate, it produces almost no computational overhead as compared to the lattice Boltzmann method for uniform grids in terms of node updates per second. To the best of our knowledge, the current paper presents the first study on multi-core parallelization of the lattice Boltzmann method with inhomogeneous grid spacing and nested time stepping for both CPUs and GPUs.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0898-1221
1873-7668
DOI:10.1016/j.camwa.2011.04.012