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This paper shows how to improve the efficiency and accuracy of Finite Difference Time Domain acoustic simulation by both calculating the differences using spectral methods and performing these calculations on a Graphics Processing Unit (GPU) rather than a CPU. These changes to the calculation method result in an increase in accuracy as well as a reduction in computational expense. The recent advances in the way that GPU’s are programmed (for example using CUDA on Nvidia`s GPU) now make them an ideal platform on which to perform scientific computations at very high speeds and very low power consumption.
Author (s): Angus, Jamie A. S.;
Caunce, Andrew;
Affiliation:
University of Salford, Salford, Greater Manchester, UK
(See document for exact affiliation information.)
AES Convention: 128
Paper Number:7963
Publication Date:
2010-05-06
Session subject:
High Performance Audio Processing
DOI:
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Angus, Jamie A. S.; Caunce, Andrew; 2010; A GPGPU Approach to Improved Acoustic Finite Difference Time Domain Calculations [PDF]; University of Salford, Salford, Greater Manchester, UK; Paper 7963; Available from: https://aes.org/publications/elibrary-page/?id=15260
Angus, Jamie A. S.; Caunce, Andrew; A GPGPU Approach to Improved Acoustic Finite Difference Time Domain Calculations [PDF]; University of Salford, Salford, Greater Manchester, UK; Paper 7963; 2010 Available: https://aes.org/publications/elibrary-page/?id=15260
@inproceedings{Angus2010a,
title={{A GPGPU Approach to Improved Acoustic Finite Difference Time Domain Calculations}},
author={Angus, Jamie A. S. and Caunce, Andrew},
year={2010},
month={may},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7963; AES Convention 128; May 2010},
number={7963},
organization={AES},
}
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