Browsing Artículos (Ciencias de la Computación e Inteligencia Artificial) by Subject "CUDA"
Now showing items 1-9 of 9
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...