Add to ORKGSoftware 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 nature of the P systems computations by using a massively parallel computer architecture, such as Compute Unified Device Architecture (CUDA) from Nvidia, to obtain better performance in the simulations. We illustrate it by giving a solution to the N-Queens problem as an example.Ministerio de Educación y Ciencia TIN2006–13425Junta de Andalucía P08–TIC0420
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator t...
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neur...
International audienceThe model of membrane computing, also known under the name of P systems, is a ...
Software development for Membrane Computing is growing up yielding new applications. Nowadays, the ...
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor t...
Membrane Computing is a discipline aiming to abstract formal computing models, called membrane syst...
Membrane Computing is an emergent research area studying the behaviour of living cells to de ne bio...
Abstract—Since CUDA programing model appeared on the general purpose computations, the developers ca...
Abstract—P systems or membrane systems provide a high level computational modeling framework that co...
In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics process...
In order to provide e cient software tools to deal with large membrane systems, high-throughput sim...
In order to validate P system models and to assist on their formal verification, simulators are ind...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
AbstractP systems are inherently parallel and non-deterministic theoretical computing devices define...
P systems are inherently parallel and non-deterministic theoretical computing devices defined inside...
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator t...
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neur...
International audienceThe model of membrane computing, also known under the name of P systems, is a ...
Software development for Membrane Computing is growing up yielding new applications. Nowadays, the ...
GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor t...
Membrane Computing is a discipline aiming to abstract formal computing models, called membrane syst...
Membrane Computing is an emergent research area studying the behaviour of living cells to de ne bio...
Abstract—Since CUDA programing model appeared on the general purpose computations, the developers ca...
Abstract—P systems or membrane systems provide a high level computational modeling framework that co...
In this paper we present a Spiking Neural P system (SNP system) simulator based on graphics process...
In order to provide e cient software tools to deal with large membrane systems, high-throughput sim...
In order to validate P system models and to assist on their formal verification, simulators are ind...
The acceleration of P system simulations is required increasingly, since they are at the core of mo...
AbstractP systems are inherently parallel and non-deterministic theoretical computing devices define...
P systems are inherently parallel and non-deterministic theoretical computing devices defined inside...
In this paper we present our results in adapting a Spiking Neural P system (SNP system) simulator t...
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neur...
International audienceThe model of membrane computing, also known under the name of P systems, is a ...