@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}
}
