Refine your search�ソスF     
Report No.
 - 

Reducing memory usage towards ensemble simulation of local urban wind analysis using locally mesh-refined lattice Boltzmann method

Hasegawa, Yuta   ; Onodera, Naoyuki   ; Idomura, Yasuhiro   

Towards the plume dissipation prediction simulation in urban area with dense buildings, we are developing the urban wind simulation code CityLBM based on a lattice Boltzmann method with GPU computing. In this work, we develop memory reduction implementations for CityLBM code by optimizing the size of MPI buffer, and by removing calculation grids inside the buildings or the underground of undulating terrain. We also implement an ensemble simulation based on MPI communicator splitting, which manages all ensemble members by single mpirun execution. The ensemble simulation for the field tracer dissipation experiment in Oklahoma-city was performed, and it is confirmed that the results of ensemble simulation agreed with the experimental result, while a single simulation could not reproduce the experiment. These results showed that the ensemble simulation improves the reliability of plume dissipation prediction simulations.

Accesses

:

- Accesses

InCites™

:

Altmetrics

:

[CLARIVATE ANALYTICS], [WEB OF SCIENCE], [HIGHLY CITED PAPER & CUP LOGO] and [HOT PAPER & FIRE LOGO] are trademarks of Clarivate Analytics, and/or its affiliated company or companies, and used herein by permission and/or license.