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Mostrando ítems 11-20 de 54
Ponencia
Probabilistic Guarded P Systems, A Formal Definition
(Fénix Editora, 2014)
In this paper, we extend the general framework of Multienvironment P systems, which is a formal framework for modelling the dynamics of population biology. The extension is made by a new variant within the probabilistic ...
Ponencia
Solving the feasibility problem in robotic motion planning by means of Enzymatic Numerical P systems
(IMCS: International Membrane Computing Society, 2019)
Solving the feasibility problem in robotic motion planning means to find feasible trajectories for specific mobile robots acting in environments with obstacles whose positions are known a priori. The Rapidly-exploring ...
Ponencia
Parallel Simulation of PDP Systems: Updates and Roadmap
(Fénix Editora, 2015)
PDP systems are a type of multienvironment P systems, which serve as a formal modeling framework for Population Dynamics. The accurate simulation of these probabilistic models entails large run times. Hence, parallel ...
Ponencia
Parallel Simulation of Probabilistic P Systems on Multicore Platforms
(Fénix Editora, 2012)
Ecologists need to model ecosystems to predict how they will evolve over time. Since ecosystems are non-deterministic phenomena, they must express the likelihood of events occurring, and measure the uncertainty of their ...
Ponencia
Simulation of Recognizer P Systems by Using Manycore GPUs
(Fénix Editora, 2009)
Software development for cellular computing is growing up yielding new applications. In this paper, we describe a simulator for the class of recognizer P systems with active membranes, which exploits the massively parallel ...
Ponencia
Sample-Parallel Execution of EBCOT in Fast Mode
(IEEE Computer Society, 2016)
JPEG 2000’s most computationally expensive building block is the Embedded Block Coder with Optimized Truncation (EBCOT). This paper evaluates how encoders targeting a parallel architecture such as a GPU can increase ...
Ponencia
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 ...
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
Movies Tags Extraction Using Deep Learning
(IEEE Computer Society, 2017)
Retrieving information from movies is becoming increasingly demanding due to the enormous amount of multimedia data generated each day. Not only it helps in efficient search, archiving and classification of movies, but ...
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 ...