The ensemble data assimilation of computational fluid dynamics simulations based on the
lattice Boltzmann method (LBM) and the local ensemble transform Kalman filter (LETKF) is …

We investigate the applicability of the data assimilation (DA) to large eddy simulations based
on the lattice Boltzmann method (LBM). We carry out the observing system simulation …

As a novel approach for fluid simulations, the lattice boltzmann method (LBM) is essentially
more suitable for large scale parallel computing compared to the traditional macroscopic …

The Lattice Boltzmann Method (LBM) is a relatively new class of Computational Fluid
Dynamics methods. In this paper, we report our work on SunwayLB, which enables LBM …

Kentaro Sano a*, Oskar Mencer b and Wayne Luk ba Department of Computer and
Mathematical Sciences Graduate School of Information Sciences, Tohoku University 6-6-01 …

We evaluated the performance of the Lattice Boltzmann Method (LBM) algorithm by focusing
on the recently proposed LBMTau1 modification with a fixed relaxation time. We assessed …

Lattice Boltzmann methods (LBM) are well suited to highly parallel computational fluid
dynamics simulations due to their separability into a perfectly parallel collision step and a …

Lattice Boltzmann method (LBM) is an important computational fluid dynamics (CFD)
approach to solving the Naiver-Stokes equations and simulating complex fluid flows. LBM is …

We present an implementation of the Lattice Boltzmann Method (LBM) with Locally
Recursive non-Locally Asynchronous (LRnLA) algorithms on GPU and CPU. The algorithm …

The Lattice Boltzmann Method (LBM) has gained widespread popularity due to its
applicability in fluid dynamics, chemical engineering, material science, and other domains …