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Ponencia
Population Dynamics P Systems on CUDA
(Springer, 2012)
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling framework, which has been successfully used by ecologists. These models are validated using software tools against actual ...
Ponencia
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 ...
Ponencia
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 ...
Ponencia
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 ...
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 ...
Ponencia
Analysis of P systems simulation on CUDA
(SARTECO: Sociedad de Arquitectura y Tecnología de Computadores, 2009)
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor to develop many general purpose computations, and en- able developers to utilize several levels of parallelism to obtain ...
Ponencia
Simulating FRSN P Systems with Real Numbers in P-Lingua on sequential and CUDA platforms
(Springer, 2015)
Fuzzy Reasoning Spiking Neural P systems (FRSN P systems, for short) is a variant of Spiking Neural P systems incorporating fuzzy logic elements that make it suitable to model fuzzy diagnosis knowledge and reasoning ...
Ponencia
Nondeterminism in Spiking Neural P Systems: Algorithms and Simulations
(Xihua University, 2017)
Spiking Neural P system (or SN P system) is a computing model based on the neurons in a living being. It is composed of neurons containing spikes interconnected by synapses. Each neuron contain a set of rules which will ...
Ponencia
Sparse-matrix Representation of Spiking Neural P Systems for GPUs
(Fenix Editora, 2017)
Current parallel simulation algorithms for Spiking Neural P (SNP) systems are based on a matrix representation. This helps to harness the inherent parallelism in algebraic operations, such as vector-matrix multiplication. ...
Ponencia
An Overview of Hardware Implementations of P Systems
(Xihua University, 2017)
Implementing the P systems on parallel hardware is a re- search highlight in bio-inspired computing since the membrane comput- ing is a large-scale parallel computing paradigm which have a potential to tremendously speed ...