Enhanced computational performance of the lattice Boltzmann model for simulating micron- and submicron-size particle flows and non-Newtonian fluid flows

TL;DR

This paper demonstrates a 21-fold performance enhancement of the lattice Boltzmann model through various optimization techniques, enabling more efficient simulations of micron- and submicron-scale particle and non-Newtonian fluid flows.

Contribution

The paper introduces specific optimization strategies for the lattice Boltzmann model, significantly improving computational efficiency for complex particle and non-Newtonian fluid flow simulations.

Findings

Average 21 performance improvement across benchmarks

Enhanced simulation capabilities for nano- and micron-scale particles

Improved modeling of non-Newtonian fluid flows

Abstract

Significant improvements in the computational performance of the lattice-Boltzmann (LB) model, coded in FORTRAN90, were achieved through application of enhancement techniques. Applied techniques include optimization of array memory layouts, data structure simplification, random number generation outside the simulation thread(s), code parallelization via OpenMP, and intra- and inter-timestep task pipelining. Effectiveness of these optimization techniques was measured on three benchmark problems: (i) transient flow of multiple particles in a Newtonian fluid in a heterogeneous fractured porous domain, (ii) thermal fluctuation of the fluid at the sub-micron scale and the resultant Brownian motion of a particle, and (iii) non-Newtonian fluid flow in a smooth-walled channel. Application of the aforementioned optimization techniques resulted in an average 21 performance improvement, which could significantly enhance practical uses of the LB models in diverse applications, focusing on the fate and transport of nano-size or micron-size particles in non-Newtonian fluids.