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基于GPU的内流高精度湍流模拟

Development of A GPU Based Unstructured Solver for High Fidelity Turbomachinery Simulation
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摘要 计算流体力学中,速度和精度是衡量求解器性能的重要因素,对于高精度湍流问题,求解时间普遍较长,本文致力于开发基于GPU的并行计算求解器,以加快求解速度。本文首先介绍了课题组已有的流动方程求解器,然后根据CUDA编程结构的特点进行优化对组内求解器进行GPU实现及优化。最后本文将优化后的并行计算求解器应用于压气机叶片的三维计算,对其转捩过程及机理进行分析,并获得了53的加速比。 Speed and accuracy are the key points to the evaluation of solver for steady and unsteady flows in computational fluid dynamics (CFD), and much time is needed for high precision turbulence flow generally. The aim of this paper is to develop a GPU-enabled parallel solver to speed up the solution. The flow solver developed by our groups is introduced, then the implemen- tation and optimization of original solver is conducted according to the features of CUDA model. Finally, the GPU-enabled solver after optimization is applied to the unsteady flow simulation in com- pressor cascade and the transition process and mechanism is analyzed with the speed-up of 53 reported.
出处 《工程热物理学报》 EI CAS CSCD 北大核心 2017年第11期2341-2347,共7页 Journal of Engineering Thermophysics
基金 国家自然科学基金重点项目(No.51136003) 国家自然科学基金青年项目(No.51506107) 国家自然科学基金面上项目(No.51476082)
关键词 计算流体力学 GPU 非定常流动 层流-湍流转捩 CFD GPU unsteady flow laminar-turbulent transition
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