Transactions of Nanjing University of Aeronautics & Astronautics
Compute Unified Device Architecture Implementation of Euler/Navier-Stokes Solver on Graphics Processing Unit Desktop Platform for 2-D Compressible Flows
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Abstract:
Personal desktop platform with teraflops peak performance of thousands of cores is realized at the price of conventional workstations using the programmable graphics processing units (GPUs). A GPU-based parallel Euler/Navier-Stokes solver is developed for 2-D compressible flows by using NVIDIA′s Compute Unified Device Architecture (CUDA) programming model in CUDA Fortran programming language. The techniques of implementation of CUDA kernels, doublelayered thread hierarchy and variety memory hierarchy are presented to form the GPU-based algorithm of Euler/Navier-Stokes equations. The resulting parallel solver is validated by a set of typical test flow cases. The numerical results show that dozens of times speedup relative to a serial CPU implementation can be achieved using a single GPU desktop platform, which demonstrates that a GPU desktop can serve as a cost-effective parallel computing platform to accelerate computational fluid dynamics(CFD) simulations substantially.
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