Buscar
Mostrando ítems 21-30 de 54
Ponencia
Implementing P Systems Parallelism by Means of GPUs
(Springer, 2010)
Software development for Membrane Computing is growing up yielding new applications. Nowadays, the efficiency of P systems simulators have become a critical point when working with instances of large size. The newest ...
Ponencia
A Framework for Evolving Spiking Neural P Systems
(IMCS: International Membrane Computing Society, 2019)
In current literature, there is a lack of research on the optimization of spiking neural P systems (SN P systems) and, consequently, also a lack of automation to do this process of optimization. We address this gap by ...
Ponencia
11 years of P-Lingua: A backward glance
(Editura BIBLIOSTAR, 2019)
In 2008, P-Lingua was born. The Research Group on Natural Computing worked on the development of simulation tools since the beginning of Membrane Computing. However, back in 2007, researchers from the group set out to ...
Ponencia
Enhancing the simulation of P systems for the SAT problem on GPUs
(National Center for Supercomputing Applications, 2010)
GPUs constitute nowadays a solid alternative for high performance computing, and the advent of CUDA/OpenCL allow programmers a friendly model to accelerate a broad range of applications. The way GPUs exploit parallelism ...
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
P systems simulations on massively parallel architectures
(Universidad Complutense de Madrid, 2010)
Membrane Computing is an emergent research area studying the behaviour of living cells to de ne bio-inspired computing devices, also called P systems. Such devices provide polynomial time solutions to NP-complete problems ...
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
An Improved GPU Simulator For Spiking Neural P Systems
(IEEE Computer Society, 2011)
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are computing models that acquire abstraction and inspiration from the way neurons 'compute' or process information. Similar to ...
Ponencia
On GPU-Oriented P Systems
(IEEE Computer Society, 2018)
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 ...