Parallel communication optimization based on least square method for LBM

Abstract

Efficient communication is important to every parallel algorithm. A parallel communication optimization is introduced into lattice Boltzmann method (LBM). It relies on a simplified communication strategy which is implemented by least square method. After testing the improved algorithm on parallel platform, the experimental results show that compared with normal parallel lattice Boltzmann algorithm, it provides better stability, higher performance while maintaining the same accuracy.