Buscar
Mostrando ítems 1-4 de 4
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 project involving sequential (CPU) and parallel (GPU) simulators for SN P systems. In this work, we ...
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
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 ...
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, ...