CA_GPU
Cellular Automata (CA) simulations present an important model to develop, multiple systems can be represented by a CA, in fields like biology, physics and mathematics. In this context, the creation of a framework to execute CA in hybrid CPU and GPUs (Graphic Processing Units) environments present an interest subject to address. The inherently parallel nature of the CA and the parallelism offered by the GPUs makes them good candidates to combine.