Ponencia
Extracting Parallelism in Simulation Algorithms for PDP systems
Autor/es | Martínez del Amor, Miguel Ángel
Doncel Ramírez, Andrés Orellana Martín, David Pérez Hurtado de Mendoza, Ignacio |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2020 |
Fecha de depósito | 2021-01-21 |
Publicado en |
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Resumen | Population Dynamics P systems is a modelling framework that have
been used successfully for some important real ecosystems. This model is inherently
probabilistic, and the scheme of rules is very
exible, allowing even ... Population Dynamics P systems is a modelling framework that have been used successfully for some important real ecosystems. This model is inherently probabilistic, and the scheme of rules is very exible, allowing even cooperation between membranes. Thus, its simulation has been a challenge in the past years, leading to several simulation algorithms. The latest one, which has been proved to be the most accurate so far, is DCBA. The main drawback of DCBA is its complexity, requiring a very large table to handle all competitions. In this paper, we discuss two strategies to decrease this table, allowing a more lightweight version of DCBA that can be used in parallel implementations. |
Agencias financiadoras | Ministerio de Economia, Industria y Competitividad (MINECO). España |
Identificador del proyecto | TIN2017-89842-P (MABICAP) |
Cita | Martínez del Amor, M.Á., Doncel Ramírez, A., Orellana Martín, D. y Pérez Hurtado de Mendoza, I. (2020). Extracting Parallelism in Simulation Algorithms for PDP systems. En BWMC 2020: Eighteenth Brainstorming Week on Membrane Computing (79-90), Sevilla, España: Escuela Técnica Superior de Ingeniería Informática, Universidad de Sevilla. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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