Smoke simulation for fire engineering using a multigrid method on graphics hardware

TY - GEN

T1 - Smoke simulation for fire engineering using a multigrid method on graphics hardware

AU - Glimberg, Stefan

AU - Erleben, Kenny

AU - Bennetsen, Jens

N1 - Conference code: 6

PY - 2009

Y1 - 2009

N2 - We present a GPU-based Computational Fluid Dynamics solver for the purpose of fire engineering. We apply a multigrid method to the Jacobi solver when solving the Poisson pressure equation, supporting internal boundaries. Boundaries are handled on the coarse levels, ensuring that boundaries will never vanish after restriction. We demonstrate cases where the multigrid solver computes results up to three times more accurate than the standard Jacobi method within the same time. Providing rich visual details and flows closer to widely accepted standards in fire engineering. Making accurate interactive physical simulation for engineering purposes, has the benefit of reducing production turn-around time. We have measured speed-up improvements by a factor of up to 350, compared to existing CPU-based solvers. The present CUDA-based solver promises huge potential in economical benefits, as well as constructions of safer and more complex buildings. In this paper, the multigrid method is applied to fire engineering. However, this is not a limitation, since improvements are possible for other fields as well. Traditional Jacobi solvers are particulary suitable for the methods presented.

AB - We present a GPU-based Computational Fluid Dynamics solver for the purpose of fire engineering. We apply a multigrid method to the Jacobi solver when solving the Poisson pressure equation, supporting internal boundaries. Boundaries are handled on the coarse levels, ensuring that boundaries will never vanish after restriction. We demonstrate cases where the multigrid solver computes results up to three times more accurate than the standard Jacobi method within the same time. Providing rich visual details and flows closer to widely accepted standards in fire engineering. Making accurate interactive physical simulation for engineering purposes, has the benefit of reducing production turn-around time. We have measured speed-up improvements by a factor of up to 350, compared to existing CPU-based solvers. The present CUDA-based solver promises huge potential in economical benefits, as well as constructions of safer and more complex buildings. In this paper, the multigrid method is applied to fire engineering. However, this is not a limitation, since improvements are possible for other fields as well. Traditional Jacobi solvers are particulary suitable for the methods presented.

U2 - 10.2312/PE/vriphys/vriphys09/011-020

DO - 10.2312/PE/vriphys/vriphys09/011-020

M3 - Article in proceedings

SN - 978-3-905673-73-9

SP - 11

EP - 20

BT - VRIPHYS 09

PB - European Association for Computer Graphics

T2 - Virtual Reality Interaction and Physical Simulation (VRIPHYS)

Y2 - 5 November 2009 through 6 November 2009

ER -