Ponencia
A Spiking Neural P System Simulator Based on CUDA
Autor/es | Cabarle, Francis George C.
Adorna, Henry N. Martínez del Amor, Miguel Ángel |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2011 |
Fecha de depósito | 2019-05-27 |
Publicado en |
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ISBN/ISSN | 978-3-642-28023-8 0302-9743 |
Resumen | 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 ... 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 architecture of current GPUs is very suitable for the maximally parallel computations of SNP systems. We simulate a wider variety of SNP systems, after presenting a previous work on SNP system matrix representation which led to their simulation in GPUs, and the simulation algorithm included here. Finally, we compare and present the performance speedups of the CPU-GPU based simulator over the CPU only simulator. |
Identificador del proyecto | TIN2009–13192
P08-TIC-04200 |
Cita | Cabarle, F.G.C., Adorna, H.N. y Martínez del Amor, M.Á. (2011). A Spiking Neural P System Simulator Based on CUDA. En CMC 2011: 12th International Conference on Membrane Computing (87-103), Fontainebleau, Francia: Springer. |
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