@article {854,
	title = {Simulating large-scale ENPS models by means of GPU},
	journal = {Tenth Brainstorming Week on Membrane Computing},
	volume = {I},
	year = {2012},
	month = {02/2012},
	pages = {137-152},
	publisher = {F{\'e}nix Editora},
	address = {Seville, Spain},
	abstract = {Enzymatic 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.},
	keywords = {Enzymatic Numerical P Systems, GPU, simulation},
	url = {http://www.gcn.us.es/10BWMC/10BWMCvolI/papers/Simulating_complex_ENPS_models_by_means_of_GPU_complete.pdf},
	author = {Manuel Garc{\'\i}a-Quismondo and Ana B. Pavel and Mario J. P{\'e}rez-Jim{\'e}nez}
}
