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Article

Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment

IMFIA, Faculty of Engineering, UDELAR Montevideo, Montevideo 11300, Uruguay
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Computation 2020, 8(1), 3; https://doi.org/10.3390/computation8010003
Received: 20 October 2019 / Revised: 10 December 2019 / Accepted: 19 December 2019 / Published: 7 January 2020
(This article belongs to the Special Issue Computational Heat, Mass, and Momentum Transfer—II)
The use of Computational Fluid Dynamics (CFD) to assist in air quality studies in urban environments can provide accurate results for the dispersion of pollutants. However, due to the computational resources needed, simulation domain sizes tend to be limited. This study aims to improve the computational efficiency of an emission and dispersion model implemented in a CPU-based solver by migrating it to a CPU–GPU-based one. The migration of the functions that handle boundary conditions and source terms for the pollutants is explained, as well as the main differences present in the solvers used. Once implemented, the model was used to run simulations with both engines on different platforms, enabling the comparison between them and reaching promising time improvements in favor of the use of GPUs. View Full-Text
Keywords: Heterogeneous Computing; GPU; CFD; pollution dispersion Heterogeneous Computing; GPU; CFD; pollution dispersion
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MDPI and ACS Style

Fernandez, G.; Mendina, M.; Usera, G. Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment. Computation 2020, 8, 3. https://doi.org/10.3390/computation8010003

AMA Style

Fernandez G, Mendina M, Usera G. Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment. Computation. 2020; 8(1):3. https://doi.org/10.3390/computation8010003

Chicago/Turabian Style

Fernandez, Gonzalo, Mariana Mendina, and Gabriel Usera. 2020. "Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment" Computation 8, no. 1: 3. https://doi.org/10.3390/computation8010003

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