Duration: 2020 - 2023
Total funding volume: 29.6 million euros
University sponsors: 1.595 million euros
Funded by: Federal Ministry of Education and Research

For future tasks such as autonomous driving or Industry 4.0, ever larger amounts of data from an increasing number of sensors must be analysed in the shortest possible time with the help of complex algorithms and artificial intelligence (AI). However, the corresponding processors not only have to fulfil high requirements in terms of computing power, but also in terms of energy efficiency, reliability, robustness and security, which go far beyond current possibilities. The BMBF's ZuSE projects are intended to meet the urgent need of user industries for future-proof, trustworthy processors that are customised to their specific tasks and offer high performance.

The Scale4Edge project is researching how the development time and costs of application-specific edge processors can be significantly reduced. Such processors usually carry out crucial initial calculations while mobile and close to sensors, at the interface between the real and virtual world. They must therefore not only be particularly reliable, high-performance and robust, but also energy-efficient. They must also offer a high degree of trustworthiness. With the resulting scalable and flexibly expandable development platform based on the licence-free, open-source RISC-V instruction set architecture, individual processors with these characteristics can be developed efficiently and cost-effectively.

Project partners: Infineon Technologies AG, oncept engineering GmbH ASIC- und Softwaretechnologie, TU Kaiserslautern, AbsInt Angewandte Informatik GmbH, Robert Bosch GmbH, Eberhard-Karls-Universit?t Tübingen, OFFIS e.V., TU Munich, Albert-Ludwigs-Universit?t Freiburg, IHP GmbH, MINRES GmbH, TU Dresden, ARQUIMEA Deutschland, SYSGO GmbH, TU Darmstadt, EPOS GmbH, University of Bremen, FZI Research Centre for Information Technology