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

Francisco Peña-Cantillana, D. Díaz-Pernil, H. Christinal, M. A. Gutiérrez-Naranjo
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引用次数: 28

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.
类组织P系统平滑问题的CUDA实现
平滑通常用于数字图像,通过降低其噪声水平来提高图像质量。本文提出了一种在膜计算框架下的二维图像平滑算法的并行实现。所选择的形式框架是类似于组织的P系统。该算法通过使用一种称为CUDA(计算统一设备架构)的新型设备架构来实现,该架构允许并行的NVIDIA图形处理器单元(gpu)解决许多复杂的计算问题。给出了一些实例并进行了比较;并对今后的研究方向进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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