Efficient GPGPU implementation of a lattice Boltzmann model for multiphase flows with high density ratios

Banari, Amir; Janßen, Christian F.; Grilli, Stéphan T.; Krafczyk, Manfred

doi:10.1016/j.compfluid.2014.01.004

Cited by 34 publications

(14 citation statements)

References 28 publications

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“…where F represents the absolute value of the force and w α the weights in Equations (17). The weights define how the force is distributed over the distributions.…”

Section: Evaluation Of the Force Termmentioning

confidence: 99%

“…In [16], the required time for processing a single lattice node is 3 orders of magnitude less than in one of a continuous shallow water models. Moreover, one of the most appealing features of the LBM is the straightforward implementation of the parallel computation thanks to the use of Cartesian lattices and due to the simplicity of the nodes interaction based on particles movement towards next nearest neighbors [17]. The aim of this work is to develop a simple and accurate representation of the source term to simulate realistic shallow water flows retaining the necessary stability and accuracy.…”

Section: Introductionmentioning

confidence: 99%

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Forcing for a Cascaded Lattice Boltzmann Shallow Water Model

Venturi

Francesco

Geier

et al. 2020

Water

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This work compares three forcing schemes for a recently introduced cascaded lattice Boltzmann shallow water model: a basic scheme, a second-order scheme, and a centred scheme. Although the force is applied in the streaming step of the lattice Boltzmann model, the acceleration is also considered in the transformation to central moments. The model performance is tested for one and two dimensional benchmarks.

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“…where F represents the absolute value of the force and w α the weights in Equations (17). The weights define how the force is distributed over the distributions.…”

Section: Evaluation Of the Force Termmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Forcing for a Cascaded Lattice Boltzmann Shallow Water Model

Venturi

Francesco

Geier

et al. 2020

Water

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“…Recently, Banari et al [12] implemented the Lattice Boltzmann method on massively parallel General Purpose Graphical Processing Units (GPGPU). The Smoothed Particle Hydrodynamics (SPH) method was also parallelized to investigate sloshing of a free surface.…”

Section: Introductionmentioning

confidence: 99%

A solver for massively parallel direct numerical simulation of three-dimensional multiphase flows

2017

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We present a new solver for massively parallel simulations of fully three-dimensional multiphase flows. The solver runs on a variety of computer architectures from laptops to supercomputers and on 65536 threads or more (limited only by the availability to us of more threads). The code is wholly written by the authors in Fortran 2003 and uses a domain decomposition strategy for parallelization with MPI. The fluid interface solver is based on a parallel implementation of the LCRM hybrid Front Tracking/Level Set method designed to handle highly deforming interfaces with complex topology changes. We discuss the implementation of this interface method and its particular suitability to distributed processing where all operations are carried out locally on distributed subdomains. We have developed parallel GMRES and Multigrid iterative solvers suited to the linear systems arising from the implicit solution of the fluid velocities and pressure in the presence of strong density and viscosity discontinuities across fluid phases. Particular attention is drawn to the details and performance of the parallel Multigrid solver. The code includes modules for flow interaction with immersed solid objects, contact line dynamics, species and thermal transport with phase change. Here, however, we focus on the simulation of the canonical problem of drop splash onto a liquid film and report on the parallel performance of the code on varying numbers of threads. The 3D simulations were run on mesh resolutions up to 1024 3 with results at the higher resolutions showing the fine details and features of droplet ejection, crown formation and rim instability observed under similar experimental conditions. Keywords: direct numerical simulation, multiphase flow, parallel or distributed processing, interface dynamics, front tracking communication communication communication communication 32 Fig. 4 distributed sub-domain buffer zone for sub-domain communication extended interface buffer zone for physical B.C.

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“…In order to make the most of the inherent parallelism of LBM, numerous efforts have been devoted to harness the calculation power of graphic processing units (GPU) [15][16][17][18]. A GPU is characterised by its highly parallel, manycore structure, which is especially suited for data intensive calculations.…”

Section: Introductionmentioning

confidence: 99%

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

Gong

Johannes

Kuznik

2015

Commun. Comput. Phys.

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A new solver is developed to numerically simulate the melting phase change with natural convection. This solver was implemented on a single Nvidia GPU based on the CUDA technology in order to simulate the melting phase change in a 2D rectangular enclosure. The Rayleigh number is of the order of magnitude of 10 8 and Prandlt is 50. The hybrid thermal lattice Boltzmann method (HTLBM) is employed to simulate the natural convection in the liquid phase, and the enthalpy formulation is used to simulate the phase change aspect. The model is validated by experimental data and published analytic results. The simulation results manifest a strong convection in the melted phase and a different flow pattern from the reference results with low Rayleigh number. In addition, the computational performance is estimated for single precision arithmetic, and this solver yields 703.31 MLUPS and 61.89 GB/s device to device data throughput on a Nvidia Tesla C2050 GPU. PACS: 44.35.+c

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Efficient GPGPU implementation of a lattice Boltzmann model for multiphase flows with high density ratios

Cited by 34 publications

References 28 publications

Forcing for a Cascaded Lattice Boltzmann Shallow Water Model

Forcing for a Cascaded Lattice Boltzmann Shallow Water Model

A solver for massively parallel direct numerical simulation of three-dimensional multiphase flows

Numerical Simulation of Melting with Natural Convection Based on Lattice Boltzmann Method and Performed with CUDA Enabled GPU

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