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Mostrando ítems 1-9 de 9
Artículo
Simulation of P systems with active membranes on CUDA
(Oxford University Press, 2010)
P systems or Membrane Systems provide a high-level computational modelling framework that combines the structure and dynamic aspects of biological systems in a relevant and understandable way. They are inherently parallel ...
Artículo
An Overview of Hardware Implementations of P Systems
(ACM Digital Library, 2020)
Implementing the P systems on parallel hardware is a research highlight in bio-inspired computing since the membrane computing is a large-scale parallel computing paradigm which have a potential to tremendously speed ...
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
A Survey of Parallel Simulation of P Systems with GPUs
(IMCS: International Membrane Computing Society, 2017)
P system simulators become essential for model verification and validation, since they reproduce the semantics of the models in an automatic way. For this reason, in the literature, many authors have proposed several ...
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
Parallel simulation of Population Dynamics P systems: updates and roadmap
(Springer, 2016)
Population Dynamics P systems are a type of multienvironment P systems that serve as a formal modeling framework for real ecosystems. The accurate simulation of these probabilisticmodels, e.g. with Direct distribution ...
Artículo
A membrane parallel rapidly-exploring random tree algorithm for robotic motion planning
(IOS Press, 2020)
In recent years, incremental sampling-based motion planning algorithms have been widely used to solve robot motion planning problems in high-dimensional configuration spaces. In particular, the Rapidly-exploring Random ...
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, ...
Artículo
Sparse Spiking Neural-Like Membrane Systems on Graphics Processing Units
(World Scientific, 2024)
The parallel simulation of Spiking Neural P systems is mainly based on a matrix representation, where the graph inherent to the neural model is encoded in an adjacency matrix. The simulation algorithm is based on a ...