A parallel implementation of the thresholding problem by using tissue-like P systems

Authors:
Francisco Peña-Cantillana;Daniel Díaz-Pernil;Ainhoa Berciano;Miguel Angel Gutiérrez-Naranjo
Affiliations:
Research Group on Natural Computing - Dept. of Computer Science and AI, University of Seville, Spain;CATAM Research Group - Dept. of Applied Mathematics I, University of Seville, Spain;CATAM Research Group - Dept. of Applied Mathematics I, University of Seville, Spain and Departament of Didactic of Mathematics and Experimental Sciences, University of the Basque Country, Spain;Research Group on Natural Computing - Dept. of Computer Science and AI, University of Seville, Spain
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Year:
2011

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Abstract

In this paper we present a parallel algorithm to solve the thresholding problem by using Membrane Computing techniques. This bio-inspired algorithm has been implemented in a novel device architecture called CUDA™, (Compute Unified Device Architecture). We present some examples, compare the obtained time and present some research lines for the future.