GPU-based cellular automata simulations of laser dynamics

We present a parallel implementation for Graphics Processing Units (GPUs) of a model based on cellular automata (CA) to simulate laser dynamics. A cellular automaton is an inherent parallel type of algorithm that is very suitable to simulate complex systems formed by many individual components which give rise to emergent behaviours. We exploit the parallel character of this kind of algorithms to develop a fine-grained parallel implementation of the CA laser model on GPUs. A good speedup of up to 14.5 over a sequential implementation running on a single core CPU has been obtained, showing the feasibility of this model to run efficient parallel simulations on GPUs