Artículo
Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems
Autor/es | Peña Cantillana, Francisco
Díaz Pernil, Daniel Christinal, Hepzibah Anandharaj Gutiérrez Naranjo, Miguel Ángel |
Fecha de publicación | 2011 |
Fecha de depósito | 2024-04-22 |
Publicado en |
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Resumen | 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 ... 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. |
Cita | Peña Cantillana, F., Díaz Pernil, D., Christinal, H.A. y Gutiérrez Naranjo, M.Á. (2011). Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems. International Journal of Natural Computing Research, 2 (3), 25-34. https://doi.org/10.4018/jncr.2011070103. |
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