Parallelized CCHE2D flow model with CUDA Fortran on graphics processing units. This paper presents the CCHE2D implicit flow model parallelized using CUDA Fortran programming technique on Graphics Processing Units (GPUs). A parallelized implicit Alternating Direction Implicit (ADI) solver using Parallel Cyclic Reduction (PCR) algorithm on GPU is developed and tested. This solver outperforms the Strong Implicit Procedure (SIP) solver and its parallel alternatives. Computing accuracy and efficiency of both CPU and GPU versions of models were compared with one experimental case and one field case. It has been demonstrated that the parallelized CCHE2D flow model with CUDA Fortran is capable of accurately predicting steady flow or unsteady flow with a much higher computing efficiency on the GPU.
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- Zhang, Yaoxin; Jia, Yafei: Parallelized CCHE2D flow model with CUDA Fortran on graphics processing units (2013)