A GPU-accelerated Meshless Method For
Two-phase Incompressible Fluid Flows
Author(s)
J. M. Kelly, E. A. Divo & A. J. Kassab
Abstract
This paper presents the development and implementation of a Meshless twophase
incompressible fluid flow solver and its acceleration using the graphics
processing unit (GPU). The solver is formulated as a Localized Radial-basis
Function Collocation (LRC) Meshless method and the interface of the two-phase
flow is captured using an implementation of the Level-Set method. The Compute
Unified Device Architecture (CUDA) language for general-purpose computing
on the GPU is used to accelerate the solver. Through the combined use of the
LRC Meshless method and GPU acceleration this paper seeks to address the
issue of robustness and speed in computational fluid dynamics. The LRC
Meshless method seeks to mitigate the issue of extensive and time-consuming
user input of mesh-based methods by representing the field variables on a set of
scattered points that need not meet stringent geometric requirements such as
connectivity and poligonalization. The method is shown to render very accurate
and stable solutions and the implementation of the solver on the GPU is shown
to accelerate the solution process significantly.
Keywords: two-phase flow, meshless methods, RBF, GPU, parallelization.
Keywords
two-phase flow, meshless methods, RBF, GPU, parallelization
Related Book
Other papers in this volume
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