A prototype of a three-dimensional (3-D) radiation model is developed using the lattice Boltzmann method (LBM) and implemented on a graphical processing unit (GPU) to accelerate the model’s computational speed. This radiative transfer-lattice Boltzmann model (RT-LBM) results from a discretization of the radiative transfer equation in time, space, and solid angle. The collision and streaming computation algorithm, widely used in LBM for fluid flow modeling, is applied to speed up the RT-LBM computation on the GPU platform. The isotropic scattering is assumed in this study. The accuracy is evaluated using Monte Carlo method (MCM) simulations, showing RT-LBM is quite accurate when typical atmospheric coefficients of scattering and absorption a...
Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key adva...
Lattice Boltzmann Methods (LBM) are a class of computational fluid dynamics (CFD) algorithms for sim...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
Lattice Boltzmann method (LBM) has been developed as a powerful numerical approach to simulate the c...
Usage of the lattice Boltzmann method (LBM) has been extended to analyze radiative transport problem...
The Lattice Boltzmann Method (LBM) is widely used to simulate different types of flow, such as water...
Many-core processors, such as graphic processing units (GPUs), are promising platforms for intrinsic...
Lattice-Boltzmann methods are versatile numerical modeling techniques capable of reproducing a wide ...
Lattice-Boltzmann method (LBM) is a new generation numerical technique used to solve fluid flow and ...
Abstract. Lattice Boltzmann Method (LBM) is a computational technique used to solve transport proble...
The advent of cheap massively parallel computer architectures in accelerators such as GPUs provides ...
A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with...
The advent of cheap massively parallel computer architectures in accelerators such as Graphical Proc...
In this paper, we propose the implementation of a parallel lattice Boltzmann method (LBM) algorithm ...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key adva...
Lattice Boltzmann Methods (LBM) are a class of computational fluid dynamics (CFD) algorithms for sim...
Today, we are living a growing demand of larger and more efficient computational resources from the ...
Lattice Boltzmann method (LBM) has been developed as a powerful numerical approach to simulate the c...
Usage of the lattice Boltzmann method (LBM) has been extended to analyze radiative transport problem...
The Lattice Boltzmann Method (LBM) is widely used to simulate different types of flow, such as water...
Many-core processors, such as graphic processing units (GPUs), are promising platforms for intrinsic...
Lattice-Boltzmann methods are versatile numerical modeling techniques capable of reproducing a wide ...
Lattice-Boltzmann method (LBM) is a new generation numerical technique used to solve fluid flow and ...
Abstract. Lattice Boltzmann Method (LBM) is a computational technique used to solve transport proble...
The advent of cheap massively parallel computer architectures in accelerators such as GPUs provides ...
A graphic processing unit (GPU) implementation of the multicomponent lattice Boltzmann equation with...
The advent of cheap massively parallel computer architectures in accelerators such as Graphical Proc...
In this paper, we propose the implementation of a parallel lattice Boltzmann method (LBM) algorithm ...
With computer simulations real world phenomena can be analyzed in great detail. Computational fluid ...
Lattice Boltzmann (LB) methods are widely used today to describe the dynamics of fluids. Key adva...
Lattice Boltzmann Methods (LBM) are a class of computational fluid dynamics (CFD) algorithms for sim...
Today, we are living a growing demand of larger and more efficient computational resources from the ...