Cuda Parallelization of a 2-d Non-hydrostatic Compressible Atmospheric Model
نویسنده
چکیده
Computational fluid dynamics in general require large computational resources. The same is true for an atmospheric model which simulates non-hydrostatic density-stratified flow with a gravity source term. There have been many applications of CUDA to CFD problems as can be seen by the many papers on . In fact, a full-scale global atmospheric model has been parallelized for CUDA. For my graduate research, I am developing methods for integrating the 2-D non-hydrostatic atmospheric Partial Differential Equations (PDEs) that require very low communication when parallelized via domain decomposition. I already have a code in Fortran 90 implementing this in serial demonstrating certain positive traits of the scheme numerically. Because computation and communication is highly local, I believe this model would be an ideal candidate for parallelization with CUDA. The equations of motion being approximated numerically are four conservation laws conserving mass, momentum, and entropy with a gravity source term (given below):
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تاریخ انتشار 2009