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Presentation
Simulating Spiking Neural P Systems Without Delays Using GPUs
(Fénix Editora, 2011)
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neural P system (SNP system) using graphics processing units (GPUs). GPUs, because of their architectural optimization for ...
Presentation
A Framework for Evolving Spiking Neural P Systems with Rules on Synapses
(IMCS: International Membrane Computing Society, 2019)
In this paper, we present a genetic algorithm framework for evolving Spiking Neural P Systems with rules on synapses (RSSNP systems, for short). Starting with an initial RSSNP system, we use the genetic algorithm framework ...
Presentation
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 ...
Presentation
A Framework for Evolving Spiking Neural P Systems
(IMCS: International Membrane Computing Society, 2019)
In current literature, there is a lack of research on the optimization of spiking neural P systems (SN P systems) and, consequently, also a lack of automation to do this process of optimization. We address this gap by ...
Presentation
CuSNP: Spiking Neural P Systems Simulators in CUDA
(IMCS: International Membrane Computing Society, 2016)
Spiking neural P systems (in short, SN P systems) are models of computation inspired by biological neurons. In this work, we report our ongoing e orts to improve simulators for SN P systems. CuSNP is a project involving ...
Article
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 ...
Presentation
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 ...
Presentation
An Improved GPU Simulator For Spiking Neural P Systems
(IEEE Computer Society, 2011)
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that acquire abstraction and inspiration from the way neurons 'compute' or process information. Similar to ...
Article
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 ...
Presentation
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 ...