One of the reaction- diffusion type differential equations is the formation of the Turing pattern. This paper describes the numerical simulation of the reaction-diffusion equations of FitzHugh-Nahumo model. This model is one of Turing systems, which can be used as a mathematical model of pattern formation in animal skin. The model is solved numerically using a finite difference method while the time evolution is discretized by using explicit Euler scheme. For reduction, the elapsed time, the parallel algorithm based on Graphical Processing Unit (GPU) with CUDA was used. This study compares the elapsed time of the CPU and GPU, numerical experiments were carried out using various mesh sizes. The results show that parallel implementation of GPU achieves acceleration up to 12 times faster than the serial CPU implementation. The greater the computing resources needed will make GPU use more optimal.
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