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Ponencia
CuSNP: Spiking Neural P Systems Simulators in CUDA
(IMCS: International Membrane Computing Society, 2016)
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. In this work, we report our ongoing e orts to improve simulators for SN P systems. CuSNP is a project involving ...
Artículo
A Survey of Parallel Simulation of P Systems with GPUs
(IMCS: International Membrane Computing Society, 2017)
P system simulators become essential for model verification and validation, since they reproduce the semantics of the models in an automatic way. For this reason, in the literature, many authors have proposed several ...
Ponencia
Nondeterminism in Spiking Neural P Systems: Algorithms and Simulations
(Xihua University, 2017)
Spiking Neural P system (or SN P system) is a computing model based on the neurons in a living being. It is composed of neurons containing spikes interconnected by synapses. Each neuron contain a set of rules which will ...
Artículo
GPU implementation of evolving spiking neural P systems
(ScienceDirect, 2022-09)
Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have been previously developed with the use of a genetic algorithm framework. So far, these computations, both evolving and simulating, ...
Ponencia
An Overview of Hardware Implementations of P Systems
(Xihua University, 2017)
Implementing the P systems on parallel hardware is a re- search highlight in bio-inspired computing since the membrane comput- ing is a large-scale parallel computing paradigm which have a potential to tremendously speed ...