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DTSTAMP:20240214T070242Z
LOCATION:Meeting Room C4.11\, Level 4 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T154500
DTEND;TZID=Australia/Melbourne:20231212T160000
UID:siggraphasia_SIGGRAPH Asia 2023_sess121_papers_340@linklings.com
SUMMARY:High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows
DESCRIPTION:Technical Papers\n\nWei Li, Tongtong Wang, Zherong Pan, Xifeng
  Gao, and Kui Wu (LightSpeed Studios) and Mathieu Desbrun (Inria/X)\n\nKin
 etic solvers for incompressible fluid simulation were designed to run effi
 ciently on massively parallel architectures such as GPUs. While these latt
 ice Boltzmann solvers have recently proven much faster and more accurate t
 han common macroscopic Navier-Stokes-based solvers in graphics, it is alwa
 ys at the price of a very large memory requirement: a mesoscopic discretiz
 ation of statistical mechanics typically requires over an order of magnitu
 de more variables per grid node than most fluid solvers in graphics. \nIn 
 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 sc
 enarios encountered in graphics. We show that our lightweight and lightspe
 ed fluid solver requires three times less memory and runs ten times faster
  than state-of-the-art kinectic solvers, for a nearly-identical visual out
 put.\n\nRegistration Category: Full Access\n\nSession Chair: Christopher B
 atty (University of Waterloo)
URL:https://asia.siggraph.org/2023/full-program?id=papers_340&sess=sess121
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