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An Efficient Acceleration of Solving Heat and Mass Transfer Equations with the Second Kind of Boundary Conditions in Solid and Hollow Cylinder Using Programmable Graphics Hardware

机译:利用可编程图形硬件有效加速固体和空心圆柱体中具有第二种边界条件的传热和传质方程

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Recently, heat and mass transfer simulation is more and more important in various engineering fields. In order to analyse how heat and mass transfer in a thermal environment, heat and mass transfer simulation is needed. However, it is too much time-consuming to obtain numerical solutions to heat and mass transfer equations. Therefore, in this paper, one of acceleration techniques developed in the graphics community that exploits a graphics processing unit (GPU) is applied to the numerical solutions of heat and mass transfer equations. The nVidia Compute Unified Device Architecture (CUDA) programming model provides a straightforward means of describing inherently parallel computations. This paper improves the performance of solving heat and mass transfer equations over solid and hollow capillary porous cylinder with the second kind of boundary conditions numerically running on GPU. Heat and mass transfer simulation using the novel CUDA platform on nVidia Quadro FX 4800 is implemented. Our experimental results clearly show that GPU can accurately perform heat and mass transfer simulation. GPU can significantly accelerate the performance with the maximum observed speedups 10 times. Therefore, the GPU is a good approach to accelerate the heat and mass transfer simulation.<
机译:近来,在各个工程领域中,传热和传质模拟越来越重要。为了分析热环境中的传热和传质,需要进行传热和传质模拟。但是,要获得传热和传质方程的数值解太耗时。因此,在本文中,在图形界开发的一种利用图形处理单元(GPU)的加速技术被应用于传热和传质方程的数值解。 nVidia计算统一设备体系结构(CUDA)编程模型提供了一种描述固有并行计算的简单方法。本文通过第二种边界条件在GPU上运行,提高了求解固体和空心毛细管多孔圆柱体上的传热和传质方程的性能。在nVidia Quadro FX 4800上使用新颖的CUDA平台实现了传热和传质模拟。我们的实验结果清楚地表明GPU可以准确地执行传热和传质仿真。 GPU可以显着提高性能,最大可观察到10倍的加速。因此,GPU是加速传热和传质仿真的好方法。

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