Abstract:
This study is to predict two-dimensional
brain tumors growth through parallel algorithm
using the High Performance Computing System.
The numerical finite-difference method is
highlighted as a platform for discretization of twodimensional
parabolic equations. The consequence
of a type of finite difference approximation namely
explicit method will be presented in this paper. The
numerical solution is applied in the medical field by
solving a mathematical model for the diffusion of
brain tumors which is a new technique to predict
brain tumor growth. A parabolic mathematical
model used to describe and predict the evolution of
tumor from the avascular stage to the vascular,
through the angiogenic process. The parallel
algorithm based on High Performance Computing
(HPC) System is used to capture the growth of
brain tumors cells in two-dimensional visualization.
PVM (Parallel Virtual Machine) software is used as
communication platform in the HPC System. The
performance of the algorithm evaluated in terms of
speedup, efficiency, effectiveness and temporal
performance.
