Publication Details
Juliette Pardue and Andrey Chernikov.
Published in 45th International Conference on Parallel Processing, Best Paper Award, acceptance rate 21.1, August, 2016
Abstract
In this paper, we present a bottom-up approach to parallel anisotropic mesh generation by building a mesh generator from principles. Applications focusing on high-lift design or dynamic stall, or numerical methods and modeling test cases still focus on the two-dimensions. Our push-button parallel mesh generation approach can generate high-fidelity unstructured meshes with anisotropic boundary layers for use in the computational fluid dynamics field. The anisotropy requirement adds a level of complexity to a parallel meshing algorithm by making computation depend on the local alignment of elements, which in turn is dictated by geometric boundaries and the density functions. Our experimental results show 70% parallel efficiency over the fastest sequential isotropic mesh generator on 256 distributed memory nodes.