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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 graphics processing unit (GPU) platform. In particular, we extend our simulations to larger and ...
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 particular we implement the simulator using NVIDIA CUDA enabled GPUs. The massively parallel ...
Ponencia
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms
(Springer, 2015)
Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning ...
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 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 function and structure of biological neurons. In SNPSP systems, neurons can create or delete ...