High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows
DescriptionKinetic solvers for incompressible fluid simulation were designed to run efficiently on massively parallel architectures such as GPUs. While these lattice Boltzmann solvers have recently proven much faster and more accurate than common macroscopic Navier-Stokes-based solvers in graphics, it is always at the price of a very large memory requirement: a mesoscopic discretization of statistical mechanics typically requires over an order of magnitude more variables per grid node than most fluid solvers in graphics.
In order to open up LBM simulation to gaming and simulation software packages on commodity hardware, we propose a High-Order Moment-Encoded LBM solver which we coined HOME-LBM, requiring only the storage of a few moments per grid node, with little to no loss of accuracy in the typical simulation scenarios encountered in graphics. We show that our lightweight and lightspeed fluid solver requires three times less memory and runs ten times faster than state-of-the-art kinectic solvers, for a nearly-identical visual output.
In order to open up LBM simulation to gaming and simulation software packages on commodity hardware, we propose a High-Order Moment-Encoded LBM solver which we coined HOME-LBM, requiring only the storage of a few moments per grid node, with little to no loss of accuracy in the typical simulation scenarios encountered in graphics. We show that our lightweight and lightspeed fluid solver requires three times less memory and runs ten times faster than state-of-the-art kinectic solvers, for a nearly-identical visual output.
Event Type
Technical Papers
TimeTuesday, 12 December 20239:30am - 12:45pm 
LocationDarling Harbour Theatre, Level 2 (Convention Centre)
Trade Exhibitor
Experience Hall Exhibitor
