<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Francis Cabarle</style></author><author><style face="normal" font="default" size="100%">Henry Adorna</style></author><author><style face="normal" font="default" size="100%">Miguel A. Martínez-del-Amor</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Spiking Neural P system simulator based on CUDA</style></title><secondary-title><style face="normal" font="default" size="100%">12th International Conference on Membrane Computing (CMC12)</style></secondary-title><tertiary-title><style face="normal" font="default" size="100%">Proceedings of the 12th International Conference on Membrane Computing (CMC12)</style></tertiary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CUDA</style></keyword><keyword><style  face="normal" font="default" size="100%">GPU Computing</style></keyword><keyword><style  face="normal" font="default" size="100%">Membrane computing</style></keyword><keyword><style  face="normal" font="default" size="100%">parallel computing</style></keyword><keyword><style  face="normal" font="default" size="100%">spiking neural P systems</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2011</style></year><pub-dates><date><style  face="normal" font="default" size="100%">08/2011</style></date></pub-dates></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://cmc12.lacl.fr/cmc12proceedings.pdf</style></url></web-urls></urls><pub-location><style face="normal" font="default" size="100%">Fontainebleau, France</style></pub-location><pages><style face="normal" font="default" size="100%">77-92</style></pages><abstract><style face="normal" font="default" size="100%">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.</style></abstract></record></records></xml>