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Ponencia
Simulating Spiking Neural P Systems Without Delays Using GPUs
(Fénix Editora, 2011)
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for ...
Ponencia
Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems
(IMCS: International Membrane Computing Society, 2019)
Solving the feasibility problem in robotic motion planning means to find feasible trajectories for specific mobile robots acting in environments with obstacles whose positions are known a priori. The Rapidly-exploring ...
Ponencia
A Framework for Evolving Spiking Neural P Systems with Rules on Synapses
(IMCS: International Membrane Computing Society, 2019)
In this paper, we present a genetic algorithm framework for evolving Spiking Neural P Systems with rules on synapses (RSSNP systems, for short). Starting with an initial RSSNP system, we use the genetic algorithm framework ...
Ponencia
A Framework for Evolving Spiking Neural P Systems
(IMCS: International Membrane Computing Society, 2019)
In current literature, there is a lack of research on the optimization of spiking neural P systems (SN P systems) and, consequently, also a lack of automation to do this process of optimization. We address this gap by ...
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 ...
Ponencia
Improving Simulations of Spiking Neural P Systems in NVIDIA CUDA GPUs: CuSNP
(Fénix, 2016)
Spiking neural P systems (in short, SN P systems) are parallel models of computations inspired by the spiking ( ring) of biological neurons. In SN P systems, neurons function as spike processors and are placed on nodes ...
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 ...
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 ...
Ponencia
On the Simulations of Evolution-Communication P Systems with Energy without Antiport Rules for GPUs
(Fénix Editora, 2012)
In this report, we present our initial proposal on simulating computations on a restricted variant of Evolution-Communication P system with energy (ECPe system) which will then be implemented in Graphics Processing Units ...