The overall goal of the project is a novel method for the development, modeling and control of powertrain control  systems based on AI technology. In this context, OFFIS is developing a compiler for novel data flow processor architectures.

For these processors, a compiler should translate control algorithms from a mathematical-algorithmic domain-specific language (DSL) into a configuration for this processor, which corresponds to a program for classical processors. In contrast to other processors, the data flow architecture does not process sequential instructions, but can process data streams in a highly parallelized manner. As a result, completely new data flow-based optimization methods can be explored.

The technologies used here focus on compiler design and high level synthesis. Application areas are artificial intelligence and conventional signal processing algorithms.