Guerrero, Ginés D.Cecilia, José M.García Carrasco, José M.Martínez del Amor, Miguel ÁngelPérez Hurtado de Mendoza, IgnacioPérez Jiménez, Mario de Jesús2018-01-082018-01-082009Guerrero, G.D., Cecilia, J.M., García Carrasco, J.M., Martínez del Amor, M.Á., Pérez Hurtado, I. y Pérez Jiménez, M.d.J. (2009). Analysis of P systems simulation on CUDA. En JP2009 : XX Jornadas de Paralelismo La Coruña: SARTECO: Sociedad de Arquitectura y Tecnología de Computadores.http://hdl.handle.net/11441/68353GPUs (Graphics Processing Unit) have been con- solidated as a massively data-parallel coprocessor to develop many general purpose computations, and en- able developers to utilize several levels of parallelism to obtain better performance of their applications. The massively parallel nature of certain computa- tions leads to use GPUs as an underlying architec- ture, becoming a good alternative to other paral- lel approaches. P systems or membrane systems are theoretical devices inspired in the way that liv- ing cells work, providing computational models and a high level computational modeling framework for biological systems. They are massively parallel dis- tributed, and non-deterministic systems. In this pa- per, we evaluate the GPU as the underlying archi- tecture to simulate the class of recognizer P systems with active membranes. We analyze the performance of three simulators implemented on CPU, CPU-GPU and GPU respectively. We compare them using a pre- sented P system as a benchmark, showing that the GPU is better suited than the CPU to simulate those P systems due to its massively parallel nature.application/pdfengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/CUDAP SystemMembrane Computinginfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess