Abstract
We present strategies to use GPU as efficient compute engines for AO, both for high performance numerical simulations through end-to-end and analytical models and for real-time control through the use of dedicated hardware to feed the GPU with sensors data. Challenges for ELTs are outlined.
© 2015 Optical Society of America
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