Add to ORKGEnzymatic Numerical P Systems (ENPS), an extension of Numerical P Systems, have been successfully applied to model robot controllers. GPGPU is an innovative technological paradigm which applies the parallel architecture of graphic cards to solve parallel, general{purpose problems. In previous work, a GPU simulator for ENPS was introduced. In this paper, a performance analysis on the simulator is performed in order to experimentally measure the speed-up factors resulting from the simulations.Ministerio de Ciencia e Innovación TIN2009-13192Junta de Andalucía P08-TIC-0420
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling fr...
Abstract—P systems or membrane systems provide a high level computational modeling framework that co...
In order to provide e cient software tools to deal with large membrane systems, high-throughput sim...
A P system represents a distributed and parallel computing model in which basic data structures are...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
In this work we present further extensions and improvements of a Spiking Neural P system (for short...
Software development for Membrane Computing is growing up yielding new applications. Nowadays, the ...
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are com...
In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics process...
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator t...
Motivation: Mathematical modelling is central to systems and synthetic biology. Using simulations to...
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor t...
This document is structured in three parts, whose content is briefly outlined below. Part I: Preli...
In order to validate P system models and to assist on their formal verification, simulators are ind...
It is a long-cherished wish to implement numerical P systems (NPS) on a parallel architecture so th...
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling fr...
Abstract—P systems or membrane systems provide a high level computational modeling framework that co...
In order to provide e cient software tools to deal with large membrane systems, high-throughput sim...
A P system represents a distributed and parallel computing model in which basic data structures are...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
In this work we present further extensions and improvements of a Spiking Neural P system (for short...
Software development for Membrane Computing is growing up yielding new applications. Nowadays, the ...
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are com...
In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics process...
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator t...
Motivation: Mathematical modelling is central to systems and synthetic biology. Using simulations to...
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor t...
This document is structured in three parts, whose content is briefly outlined below. Part I: Preli...
In order to validate P system models and to assist on their formal verification, simulators are ind...
It is a long-cherished wish to implement numerical P systems (NPS) on a parallel architecture so th...
Population Dynamics P systems (PDP systems, in short) provide a new formal bio-inspired modeling fr...
Abstract—P systems or membrane systems provide a high level computational modeling framework that co...
In order to provide e cient software tools to deal with large membrane systems, high-throughput sim...