Abstract
The work presents the developed microscale model of turbulent air movement and the transfer of passive gaseous pollutant in street canyons and city blocks. To parallelize this model, using the example of solving one transport equation, various parallel programming technologies were considered: MPI, OpenMP, OpenACC and CUDA. For each parallel implementation, the acceleration, efficiency and labor intensity of using the technology in question were assessed. Based on the results of computational experiments, the most suitable parallel programming technology – OpenMP for parallelizing the entire model was chosen. The results of using OpenMP in parallel implementation of a microscale model of turbulent air movement and pollutant transfer are presented.
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