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Now showing items 1-7 of 7
Article
Simulating a P system based efficient solution to SAT by using GPUs
(Elsevier, 2010)
P systems are inherently parallel and non-deterministic theoretical computing devices defined inside the field of Membrane Computing. Many P system simulators have been presented in this area, but they are inefficient since ...
Article
Simulation of P systems with active membranes on CUDA
(Oxford University Press, 2010)
P systems or Membrane Systems provide a high-level computational modelling framework that combines the structure and dynamic aspects of biological systems in a relevant and understandable way. They are inherently parallel ...
Article
Adaptative parallel simulators for bioinspired computing models
(Elsevier, 2020)
In the Membrane Computing area, P systems are unconventional devices of computation inspired by the structure and processes taking place in living cells. Main successful P system applications lie in computability and ...
Presentation
11 years of P-Lingua: A backward glance
(Editura BIBLIOSTAR, 2019)
In 2008, P-Lingua was born. The Research Group on Natural Computing worked on the development of simulation tools since the beginning of Membrane Computing. However, back in 2007, researchers from the group set out to ...
Article
P–Lingua 2.0: A software framework for cell–like P systems
(Agora University of Oradea, Romania, 2009)
P-Lingua is a programming language for membrane computing. It was first presented in Edinburgh, during the Ninth Workshop on Membrane Computing (WMC9). In this paper, the models, simulators and formats included in P-Lingua ...
Article
A computational modeling for real ecosystems based on P systems
(Springer, 2011)
In this paper, a P systems based general framework for modeling ecosystems dynamics is presented. Particularly, ecosystems are specified by means of multienvironment P systems composed of a finite number of environments, ...
Presentation
Analysis of P systems simulation on CUDA
(SARTECO: Sociedad de Arquitectura y Tecnología de Computadores, 2009)
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor to develop many general purpose computations, and en- able developers to utilize several levels of parallelism to obtain ...