<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francisco Peña-Cantillana</style></author><author><style face="normal" font="default" size="100%">Daniel Díaz-Pernil</style></author><author><style face="normal" font="default" size="100%">Hepzibah A. Christinal</style></author><author><style face="normal" font="default" size="100%">Miguel A. Gutiérrez-Naranjo</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems</style></title><secondary-title><style face="normal" font="default" size="100%">International Journal of Natural Computing Research</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2011</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://www.igi-global.com/bookstore/article.aspx?titleid=58064</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">IGI Global</style></publisher><pub-location><style face="normal" font="default" size="100%">Hershey, Pennsylvania (USA)</style></pub-location><volume><style face="normal" font="default" size="100%">2</style></volume><pages><style face="normal" font="default" size="100%">25-34</style></pages><abstract><style face="normal" font="default" size="100%">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.</style></abstract><issue><style face="normal" font="default" size="100%">3</style></issue></record></records></xml>