@article {501, title = {Analysis of P systems simulation on CUDA}, journal = {XX Jornadas de Paralelismo}, year = {2009}, note = {Webpage of the conference: http://jornadas2009.gac.des.udc.es/}, month = {September 2009}, pages = {289-294}, publisher = {Servizo de Publicaci{\'o}ns, Universidade da Coru{\~n}a}, address = {A coru{\~n}a, Spain}, abstract = {GPUs (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.}, isbn = {84-9749-346-8}, url = {http://www.p-lingua.org/~miguel/papers/2009/psystem_jornadas09.pdf}, author = {Gin{\'e}s D. Guerrero and Jos{\'e} M. Cecilia and Jos{\'e} M. Garc{\'\i}a and Miguel A. Mart{\'\i}nez-del-Amor and Ignacio P{\'e}rez-Hurtado and Mario J. P{\'e}rez-Jim{\'e}nez} }