Perfil del autor: Cabarle, Francis George C.
Datos institucionales
Nombre | Cabarle, Francis George C. |
Departamento | Lenguajes y Sistemas Informáticos |
Área de conocimiento | No existe área para esta sección. |
Categoría profesional | PAIDI |
Correo electrónico | Solicitar |
Estadísticas
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Nº publicaciones
27
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Nº visitas
2634
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Nº descargas
4228
Publicaciones |
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Artículo
GPU implementation of evolving spiking neural P systems
(ScienceDirect, 2022)
Methods for optimizing and evolving spiking neural P systems (in short, SN P systems) have been previously developed with ... |
Artículo
Simulation of Spiking Neural P Systems with Sparse Matrix-Vector Operations
(MDPI, 2021)
To date, parallel simulation algorithms for spiking neural P (SNP) systems are based on a matrix representation. This way, ... |
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 ... |
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, ... |
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 ... |
Artículo
CuSNP: Spiking Neural P Systems Simulators in CUDA
(Romanian Academy, Section for Information Science and Technology, 2017)
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. CuSNP is a ... |
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 ... |
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 ... |
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, ... |
Artículo
Notes on spiking neural P systems and finite automata
(Springer, 2016)
Spiking neural P systems (in short, SN P systems) are membrane computing models inspired by the pulse coding of information ... |
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 ... |
Artículo
Sequential Spiking Neural P Systems with Structural Plasticity Based on Max/Min Spike Number
(Springer, 2016)
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic computing devices inspired ... |
Ponencia
Notes on Spiking Neural P Systems and Finite Automata
(Fénix Editora, 2015)
Spiking neural P systems (in short, SNP systems) are membrane computing models inspired by the pulse coding of information ... |
Ponencia
Asynchronous Spiking Neural P Systems with Structural Plasticity
(Fénix Editora, 2015)
Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we ... |
Capítulo de Libro
Asynchronous Spiking neural P systems with structural plasticity
(Springer, 2015)
Spiking neural P (in short, SNP) systems are computing devices inspired by biological spiking neurons. In this work we ... |
Ponencia
Spiking Neural P Systems with Structural Plasticity: Attacking the Subset Sum Problem
(Springer, 2015)
Spiking neural P systems with structural plasticity (in short, SNPSP systems) are models of computations inspired by the ... |
Artículo
Spiking Neural P Systems with Structural Plasticity
(Springer, 2015)
Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by the ... |
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 ... |
Artículo
Uncovering the social dynamics of online elections
(2012)
Past work analysing elections in online domains has largely ignored the underlying social networks present in such ... |
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 ... |
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 ... |
Ponencia
On The Delays In Spiking Neural P Systems
(2012)
In this work we extend and improve the results done in a previous work on simulating Spiking Neural P systems (SNP systems ... |
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) ... |
Ponencia
Spiking Neural P System Simulations on a High Performance GPU Platform
(Springer, 2011)
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator to a high performance ... |
Ponencia
A Spiking Neural P System Simulator Based on CUDA
(Springer, 2011)
In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics processing units (GPUs). In ... |
Ponencia
An Improved GPU Simulator For Spiking Neural P Systems
(IEEE Computer Society, 2011)
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that ... |
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 ... |