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Numerical Solutions of Heat and Mass Transfer in Capillary Porous Media Using Programmable Graphics Hardware

  • Hira Narang
  • Fan Wu
  • Miguel Cabral
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 126)

Abstract

Nowadays, a heat and mass transfer simulation plays an important role in various engineering and industrial fields. To analyze physical behaviors of a thermal environment, we have to simulate heat and mass transfer phenomena. However to obtain numerical solutions to heat and mass transfer equations is much time-consuming. In this paper, therefore, 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. Implementation of the simulation on GPU makes GPU computing power available for the most time-consuming part of the simulation and calculation. The nVidia CUDA programming model provides a straightforward means of describing inherently parallel computations. This paper improves the computational performance of solving heat and mass transfer equations numerically running on GPU. We implemented simulation of heat and mass transfer using the novel CUDA platform on nVidia Quadro FX 4800 and compared its performance with an optimized CPU implementation on a high-end Intel Xeon CPU. The experimental results clearly show that GPU can perform heat and mass transfer simulation accurately and significantly accelerate the numerical calculation with the maximum observed speedups 20 times. Therefore, the GPU implementation is a promising approach to acceleration of the heat and mass transfer simulation.

Keywords

Graphic Processing Unit Multigrid Method Graphic Hardware Mass Transfer Equation Graphic Processing Unit Implementation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Computer Science DepartmentTuskegee UniversityTuskegeeUSA

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