AI applications embedded in a critical system face significant real-time scheduling challenges due to several factors.
One of them is that classic task models are not directly able to model accurately such systems. Another factor is that the
variability of execution time can be influenced by various factors that exceed the variability factors considered in real-
time. Finally, new benchmarks are needed in order to evaluate the performances of real-time models and scheduling algorithms dedicated to embedded AI. In this presentation, we specify research directions in order to be able to deploy real-time CNN inference over NVIDIA GPU.
Localisation
Salle de séminaire 4B125 (bâtiment Copernic)
5 Boulevard Descartes 77420 Champs-sur-Marne