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DTSTAMP:20260114T163633Z
LOCATION:Darling Harbour Theatre\, Level 2 (Convention Centre)
DTSTART;TZID=Australia/Melbourne:20231212T093000
DTEND;TZID=Australia/Melbourne:20231212T124500
UID:siggraphasia_SIGGRAPH Asia 2023_sess209_papers_340@linklings.com
SUMMARY:High-Order Moment-Encoded Kinetic Simulation of Turbulent Flows
DESCRIPTION:Wei Li, Tongtong Wang, Zherong Pan, Xifeng Gao, and Kui Wu (Li
 ghtSpeed Studios) and Mathieu Desbrun (Inria/X)\n\nKinetic solvers for inc
 ompressible fluid simulation were designed to run efficiently on massively
  parallel architectures such as GPUs. While these lattice Boltzmann solver
 s have recently proven much faster and more accurate than common macroscop
 ic 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 pe
 r grid node than most fluid solvers in graphics. \nIn order to open up LBM
  simulation to gaming and simulation software packages on commodity hardwa
 re, 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 litt
 le to no loss of accuracy in the typical simulation scenarios encountered 
 in graphics. We show that our lightweight and lightspeed fluid solver requ
 ires three times less memory and runs ten times faster than state-of-the-a
 rt kinectic solvers, for a nearly-identical visual output.\n\nRegistration
  Category: Full Access, Enhanced Access, Trade Exhibitor, Experience Hall 
 Exhibitor\n\n
URL:https://asia.siggraph.org/2023/full-program?id=papers_340&sess=sess209
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