Abstract: Recently, heat and mass transfer simulation is more and more important in various engineering fields. In order to analyze 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 capillary porous cylinder with the first boundary and initial 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

Hira Narang, Fan Wu and Abisoye Ogunniyan, “Numerical Solutions of Heat and Mass Transfer with the First Kind Boundary and Initial Conditions in Capillary Porous Cylinder Using Programmable Graphics Hardware” International Journal of Advanced Computer Science and Applications(IJACSA), 7(6), 2016. http://dx.doi.org/10.14569/IJACSA.2016.070607

@article{Narang2016,
title = {Numerical Solutions of Heat and Mass Transfer with the First Kind Boundary and Initial Conditions in Capillary Porous Cylinder Using Programmable Graphics Hardware},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.070607},
url = {http://dx.doi.org/10.14569/IJACSA.2016.070607},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {6},
author = {Hira Narang and Fan Wu and Abisoye Ogunniyan}
}