individual
What campus are you from?
Daytona Beach
Authors' Class Standing
Carter Groezinger, Senior
Lead Presenter's Name
Carter Groezinger
Faculty Mentor Name
Leitao Chen
Abstract
The goal of this research is to develop an accelerated Lattice Boltzmann Method (LBM) solver capable of efficiently simulating high-Reynolds-number fluid flows. Typical MATLAB-based LBM codes are computationally intense and poorly suited for large-scale problems. This project investigates a sequence of performance enhancements, including vectorization, parallel computing, and High-Performance Computing (HPC) implementation, to reduce computation time by several orders of magnitude. The overarching goal is to provide a scalable and efficient solver capable of handling complex flow dynamics without compromising stability or accuracy.
Did this research project receive funding support from the Office of Undergraduate Research.
No
Accelerated Lattice Boltzmann Solver for High-Reynolds Flows
The goal of this research is to develop an accelerated Lattice Boltzmann Method (LBM) solver capable of efficiently simulating high-Reynolds-number fluid flows. Typical MATLAB-based LBM codes are computationally intense and poorly suited for large-scale problems. This project investigates a sequence of performance enhancements, including vectorization, parallel computing, and High-Performance Computing (HPC) implementation, to reduce computation time by several orders of magnitude. The overarching goal is to provide a scalable and efficient solver capable of handling complex flow dynamics without compromising stability or accuracy.