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  • 标题:Heterogeneous Computing (CPU–GPU) for Pollution Dispersion in an Urban Environment
  • 本地全文:下载
  • 作者:Gonzalo Fernandez ; Mariana Mendina ; Gabriel Usera
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2020
  • 卷号:8
  • 期号:1
  • DOI:10.3390/computation8010003
  • 出版社:MDPI Publishing
  • 摘要: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..
  • 关键词:Heterogeneous Computing; GPU; CFD; pollution dispersion Heterogeneous Computing ; GPU ; CFD ; pollution dispersion
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