Parallel Large-scale Geometric Data Processing and Meshing
We study partitioning algorithms for large-scale geometric data to support their distributed and parallel processing.
We study high-quality structured (quadrilateral) mesh generation for large-scale geometric data.
The applications of this research are in large-scale scientific computing.
High-quality structured meshes can result in more stable numerical simulations and analysis. Effective data partitioning allows more efficient problem solving on meshes (such as solving complicated partial differential equations) in high-performance computing (HPC) or other parallel environment.
We collaborated with coastal modelers from LSU Civil and Environmental Engineering Department and research scientists from LSU Center for Computation and Technology in processing coastal data for hurricane and storm surge simulation.