Convergence Acceleration of Fluid-Flow Computation with Special Emphasis on Multigrid Technique
No Thumbnail Available
Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This thesis is concerned with the study and analysis of various convergence-acceleration strategies that can help CFD practitioners to obtain their simulation results quickly. Convergence-acceleration can be achieved either by choosing a fast algorithm or by parallelizing the solution strategy. The multigrid method lies in the former category and is considered as one of the most powerful convergence-acceleration strategies. CUDA, which is a relatively new method for parallelizing CFD codes falls under the second category and as a part of the convergence-acceleration efforts embodied in this thesis, CUDA is used to parallelize LBM-based computations
Description
Supervisor: Dass, Anoop K
Keywords
Multigrid, Lattice Boltzmann Method, GPU,CUDA, Streamfunction-velocity, Convergence Acceleration