Implementation on CUDA of the Smoothing Problem with Tissue-Like P Systems-Reference-Cited by-同舟云学术

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

Published:2014 Issue: Volume: Page:184-193
ISSN:
Container-title:Natural Computing for Simulation and Knowledge Discovery
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Author:

Peña-Cantillana Francisco¹,Díaz-Pernil Daniel¹,Christinal Hepzibah A.²,Gutiérrez-Naranjo Miguel A.¹

Affiliation:

1. University of Sevilla, Spain

2. University of Sevilla, Spain & Karunya University, India

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.

Publisher

IGI Global

Reference16 articles.

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