Machine Learning Application Benchmark

Andreas Koch, Michael Petry, Max Ghiglione, Amir Raoofy, Gabriel Dax, Gianluca Furano, Martin Werner, Carsten Trinitis, Martin Langer

Abstract: This paper presents the MLAB project, a research and development activity funded by ESA General Support Technology Programme under the lead of Airbus Defence and Space GmbH, with the goal of developing a machine learning application benchmark for space applications. First, the need for a benchmark dedicated to machine learning applications in spacecraft is explained, and examples of applications are described including their design challenges. Then the benchmark design is presented, including the rules of the metrics, guidelines and scenarios for references. These scenarios include a description of the reference workloads that have been selected during the activity as representative for spacecraft applications. Lastly, the submission concept is introduced.