9655

Room acoustics modelling using GPU-accelerated finite difference and finite volume methods on a face-centered cubic grid

Brian Hamilton, Craig J. Webb
Acoustics and Audio Group, University of Edinburgh
16th Int. Conference on Digital Audio Effects (DAFx-13), 2013

@article{hamilton2013room,

   title={Room acoustics modelling using GPU-accelerated finite difference and finite volume methods on a face-centered cubic grid},

   author={Hamilton, Brian and Webb, Craig J},

   journal={Proc. Digital Audio Effects (DAFx), Maynooth, Ireland},

   year={2013}

}

Download Download (PDF)   View View   Source Source   

1786

views

In this paper, a room acoustics simulation using a finite difference approximation on a face-centered cubic (FCC) grid with finite volume impedance boundary conditions is presented. The finite difference scheme is accelerated on an Nvidia Tesla K20 graphics processing unit (GPU) using the CUDA programming language. A performance comparison is made between 27-point finite difference schemes on a cubic grid and the 13-point scheme on the FCC grid. It is shown that the FCC scheme runs faster on the Tesla K20 GPU and has less numerical dispersion than best 27-point schemes on the cubic grid. Implementation details are discussed.
Rating: 2.5/5. From 3 votes.
Please wait...

* * *

* * *

HGPU group © 2010-2024 hgpu.org

All rights belong to the respective authors

Contact us: