Resumen de Using GPUs to Speed up a Tomographic Reconstructor Based on Machine Learning

Carlos González Gutiérrez, Jesús Daniel Santos Rodríguez, Ramón Ángel Fernández Díaz, José Luis Calvo Rolle, Nieves Roqueñí Gutiérrez, Francisco Javier de Cos Juez

• The next generation of adaptive optics (AO) systems require tomographic techniques in order to correct for atmospheric turbulence along lines of sight separated from the guide stars. Multi-object adaptive optics(MOAO) is one such technique. Here we present an improved version of CARMEN, a tomographic reconstructor based on machine learning, using a dedicated neural network framework as Torch. We can observe a significant improvement on the training an execution times of the neural network, thanks to the use of the GPU.