The capabilities of small satellites have improved significantly in recent years. Specifically multi-satellite systems become increasingly popular, since they allow the support of new applications. The development and testing of these multi-satellite systems is a new challenge for engineers and requires the implementation of appropriate development and testing environments. In this paper, a modular network simulation framework for space–terrestrial systems is presented. It enables discrete event simulations for the development and testing of communication protocols, as well as mission-based analysis of other satellite system aspects, such as power supply and attitude control. ESTNeT is based on the discrete event simulator OMNeT++ and will be released under an open source license.

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Within the European Processor Initiative (EPI) an objective is build an embedded High-Performance processing platform for future automotive applications such as autonomous driving. An embedded Field-Programmable-Gate-Array (eF-PGA) enables the platform to be extended for future needs and requirements by various stakeholders. In this paper we give an overview about the project and our contributions to define the architecture of the eFPGA, which is suitable for the automotive market. Therefore, we describe our concept to explore the eFPGA architecture. It is motivated by a sound use case that deals with face recognition based on current neural networks. During the scope of the work we describe how the application is carefully mapped on the different domains of the EPI platform to make it more safe and secure as well as performant. As a result, we will find an apt eFPGA configuration, which can host common but also future neural network applications and a mapping of common image processing tasks.

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