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Mostrando ítems 1-10 de 14
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
A New Strategy to Improve the Performance of PDP-Systems Simulators
(Springer, 2015)
One of the major challenges that current P systems simulators have to deal with is to be as efficient as possible. A P system is syntactically described as a membrane structure delimiting regions where multisets of ...
Ponencia
Accelerated Simulation of P Systems on the GPU: A Survey
(Springer, 2014)
The acceleration of P system simulations is required increasingly, since they are at the core of model verification and validation processes. For this purpose, GPU computing is an alternative to more classic approaches ...
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
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
Restricted Polarizationless P Systems with Active Membranes: Minimal Cooperation Only Inwards
(Fenix Editora, 2017)
Membrane computing is a computing paradigm providing a class of distributed parallel computing devices of a biochemical type whose process units represent biological membranes. In the cell-like basic model, a hierarchical ...
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
DCBA: Simulating Population Dynamics P Systems with Proportional Object Distribution
(Fénix Editora, 2012)
Population Dynamics P systems refer to a formal framework for ecological modelling. The semantics of the model associates probabilities to rules, but at the same time, the model is based on P systems, so the rules are ...
Ponencia
Simulating a Family of Tissue P Systems Solving SAT on the GPU
(Fénix Editora, 2013)
In order to provide e cient software tools to deal with large membrane systems, high-throughput simulators are required. Parallel computing platforms are good candidates, since they are capable of partially implementing ...