Sailfish: a flexible multi-GPU implementation of the lattice Boltzmann method
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Publication:308964
DOI10.1016/j.cpc.2014.04.018zbMath1344.76004arXiv1311.2404OpenAlexW1976346389MaRDI QIDQ308964
Publication date: 6 September 2016
Published in: Computer Physics Communications (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1311.2404
Particle methods and lattice-gas methods (76M28) Software, source code, etc. for problems pertaining to fluid mechanics (76-04) Numerical algorithms for specific classes of architectures (65Y10)
Related Items (13)
Adaptive kinetic-fluid solvers for heterogeneous computing architectures ⋮ Finite difference numerical method for the superlattice Boltzmann transport equation and case comparison of CPU(C) and GPU(CUDA) implementations ⋮ Detailed analysis of the lattice Boltzmann method on unstructured grids ⋮ Memory-efficient lattice Boltzmann method for low Reynolds number flows ⋮ TLBfind: a thermal lattice Boltzmann code for concentrated emulsions with finite-size droplets ⋮ GPU-accelerated algorithms for many-particle continuous-time quantum walks ⋮ Influence of Finite Size Effects on the Fulde-Ferrell-Larkin-Ovchinnikov State ⋮ Efficient computations for high density ratio rising bubble flows using a diffused interface, coupled lattice Boltzmann-level set scheme ⋮ Leveling out interface temperature for conjugate heat transfer problems ⋮ Performance portability of lattice Boltzmann methods for two-phase flows with phase change ⋮ Single relaxation time entropic lattice Boltzmann methods: a developer's perspective for stable and accurate simulations ⋮ Sailfish ⋮ Total energy thermal lattice Boltzmann simulation of mixed convection in a square cavity
Uses Software
Cites Work
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