Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems

Francisco Peña-Cantillana, Daniel Díaz-Pernil, Hepzibah A. Christinal and Miguel A. Gutiérrez-Naranjo
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Francisco Peña-Cantillana: University of Sevilla, Spain
Daniel Díaz-Pernil: University of Sevilla, Spain
Hepzibah A. Christinal: University of Sevilla, Spain, and Karunya University, India
Miguel A. Gutiérrez-Naranjo: University of Sevilla, Spain

International Journal of Natural Computing Research (IJNCR), 2011, vol. 2, issue 3, 25-34

Abstract: Smoothing is often used in Digital Imagery for improving the quality of an image by reducing its level of noise. This paper presents a parallel implementation of an algorithm for smoothing 2D images in the framework of Membrane Computing. The chosen formal framework has been tissue-like P systems. The algorithm has been implemented by using a novel device architecture called CUDA (Compute Unified Device Architecture) which allows the parallel NVIDIA Graphics Processors Units (GPUs) to solve many complex computational problems. Some examples are presented and compared; research lines for the future are also discussed.

Date: 2011
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