A Detailed Account of An Efficient Acceleration of Solving Heat and Mass Transfer Equations in Capillary Porous Radially Composite Cylinder with Different Kinds of Boundary Conditions Using Programmable Graphics Hardware

With the latest advances in computing technology, elevated efforts have gone into simulation of a range of
scientific phenomena in engineering fields. One such case is the simulation of heat and mass transfer in capillary
porous media, which is becoming more and more necessary in analysing a number of applications in science and
engineering applications. However, this procedure of numerical solution of heat and mass transfer equations for
capillary porous media is very time consuming. Therefore, this paper pursues making use of one of the
acceleration methods developed in the graphics community that exploits a graphical processing unit (GPU)
which is applied to the numerical options of such heat and mass transfer Equations. The navaid Compute
Unified Device Architecture (CUDA) programming model offers a correct approach of applying parallel
computing to application of the graphical processing unit. This paper suggests a true improvement in the
performance whilst solving the heat and mass transfer equations for capillary porous radically composite
cylinders with several types of boundary conditions, numerically running on GPU. This heat and mass transfer
simulation, in a capillary porous cylinder is carried out with the usage of CUDA platform on nVidia Quadro FX
4800 graphics card.
We implemented numerical solutions utilizing the highly parallel computations capability of GPGPU on nVidia
CUDA. We have demonstrated GPU can perform significantly faster than CPU in the field of numerical solution
to heat and mass transfer. Experimental results for capillary porous radially composite cylinder indicate that our
GPU-based implementation shows a significant performance improvement over CPU-based implementation and
the maximum observed speedups are about 7 times.