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Mostrando ítems 51-60 de 97
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, the simulation is implemented with linear algebra operations, which can be easily parallelized ...
Artículo
Reaching efficiency through collaboration in membrane systems: Dissolution, polarization and cooperation
(Elsevier, 2017)
From a computational complexity point of view, some syntactical ingredients play differentroles depending on the kind of combination considered. Inspired by the fact that the passing of a chemical substance through a ...
Ponencia
Design of Specific P Systems Simulators on GPUs
(Springer, 2018)
In order to validate P system models and to assist on their formal verification, simulators are indispensable. Moreover, having effi-cient simulation tools is crucial, and for this purpose, parallel platforms should be ...
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
The Reduction Problem in CUDA and Its Simulation with P Systems
(Fénix Editora, 2014)
We introduce P systems with dynamic communication graphs which simu- late the functioning of the CUDA architecture when solving the parallel reduction prob- lem.
Ponencia
Solving the N-Queens Puzzle with P Systems
(Fénix Editora, 2009)
The N-queens puzzle consists on placing N queens on an N x Ngrid in such way that no two queens are on the same row, column or diagonal line. In this paper we present a family of P systems with active membranes (one P ...
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
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
(World Scientific, 2021)
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software ...
Libro
Artículo
Hybrid agent-based methodology for testing response protocols
(Elsevier, 2021)
In recent years we have seen multiple incidents with a large number of people injured and killed by one or more armed attackers. Since this type of violence is difficult to predict, detecting threats as early as possible ...