System Performance Modelling of Heterogeneous HW Platforms: An Automated Driving Case Study
Falk Wurst, Dakshina Dasari, Arne Hamann, Dirk Ziegenbein, Ignacio Sanudo Olmedo, Nicola Capodieci, Marko Bertogna, Paolo Burgio · 2019
The push towards automated and connected driving functionalities mandates the use of heterogeneous HW platforms in order to provide the required computational resources. For these platforms, the established methods for performance modelling in industry are no longer effective. In this paper, we propose an initial modelling concept for heterogeneous platforms which can then be fed into appropriate tools to derive effective performance predictions. The approach is demonstrated for a prototypical automated driving application on the Nvidia Tegra X2 platform.