Abstract

Originating from the lattice fuel automata principle, the lattice Boltzmann approach (LBM) is an interesting opportunity to the fixing of Navier-Stokes equations. In assessment to isothermal simulations, for a while, thermal glide simulations were challenging for LBM. Thermal float simulations are a vital mission in diverse fields of research. no matter a large amount of labor and studies the dynamics of thermally brought on flows are nevertheless relatively demanded. the motivation of this work is the improvement of a computational tool for simulation of the dynamics of thermal flows. To this purpose, we developed a LES-LBM solver multiplied with the aid of the pix Processing Unit (GPU) at the CUDA computational platform, integrating LBM with Large Eddy Simulation (LES). The simplicity of coding is typically an appealing function of the LBM. conventional implementations of LBM be afflicted by high memory consumption and bad computational performance. the main advantage of the solvers based on GPU is their potential to carry out notably extra floating factor operations per unit time (FLOPS) than a significant Processing Unit (CPU) and the right scalability of specific parallel algorithms. LES-LBM code changed into examined at the NVIDIA GeForce GTX 1050 ti and NVIDIA TESLA K80 GPUs