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Mostrando ítems 11-20 de 20
Ponencia
Optimizations in CuSNP Simulator for Spiking Neural P Systems on CUDA GPUs
(IEEE Computer Society, 2019)
Spiking Neural P systems (in short, SNP systems) are computing models based on living neurons. SNP systems are non-deterministic and parallel, hence making use of a parallel processor such as a graphics processing unit ...
Artículo
Improving GPU Simulations of Spiking Neural P Systems
(Romanian Academy, 2012)
In this work we present further extensions and improvements of a Spiking Neural P system (for short, SNP systems) simulator on graphics processing units (for short, GPUs). Using previous results on representing SNP system ...
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
Sparse-matrix Representation of Spiking Neural P Systems for GPUs
(Fenix Editora, 2017)
Current parallel simulation algorithms for Spiking Neural P (SNP) systems are based on a matrix representation. This helps to harness the inherent parallelism in algebraic operations, such as vector-matrix multiplication. ...
Ponencia
Spiking Neural P system without delay simulator implementation using GPGPUs
(Ateneo de Naga University, 2011)
This paper presents a parallel simulator for a type of P sys- tem known as spiking neural P system (SNP system) us- ing general purpose graphics processing units (GPGPUs). GPGPUs, unlike the more conventional and general ...
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 ...
Ponencia
A GPU Simulation for Evolution-Communication P Systems with Energy Having no Antiport Rules
(Fénix Editora, 2013)
Evolution-Communication P system with energy (ECPe systems) is a cell- like variant P system which establishes a dependence between evolution and communi- cation through special objects, called `energy,' produced during ...
Ponencia
When Matrices Meet Brains
(Fénix Editora, 2010)
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, a discrete structure representation of ...
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 ...