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

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

Francisco Peña-Cantillana, Daniel Díaz-Pernil, Hepzibah A. Christinal, Miguel A. Gutiérrez-Naranjo
Copyright: © 2011 |Volume: 2 |Issue: 3 |Pages: 10
ISSN: 1947-928X|EISSN: 1947-9298|EISBN13: 9781613508619|DOI: 10.4018/jncr.2011070103
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MLA

Peña-Cantillana, Francisco, et al. "Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems." IJNCR vol.2, no.3 2011: pp.25-34. http://doi.org/10.4018/jncr.2011070103

APA

Peña-Cantillana, F., Díaz-Pernil, D., Christinal, H. A., & Gutiérrez-Naranjo, M. A. (2011). Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems. International Journal of Natural Computing Research (IJNCR), 2(3), 25-34. http://doi.org/10.4018/jncr.2011070103

Chicago

Peña-Cantillana, Francisco, et al. "Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems," International Journal of Natural Computing Research (IJNCR) 2, no.3: 25-34. http://doi.org/10.4018/jncr.2011070103

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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.

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