The work involves the analysis of various hardware components of a System-on-Chip (SoC) from AMD’s Versal series in different mixed-criticality scenarios. Both the Network-on-Chip and the AI accelerator can be investigated.
Mixed-criticality systems are software applications in which individual tasks have different levels of importance and priority for the overall system. To develop models that accurately represent the behavior of the respective hardware components and enable reliable predictions, the timing behavior of individual tasks must be analyzed in detail.
- Research Project or Bachelor/Master Thesis
- Supervisor: M.Sc. Vincent Sprave
The student will work with the RatatoskrM3D simulation framework to investigate heterogeneous 3D network-on-chips (NoCs). In such systems, the layers may differ in terms of the number of routers and clock frequency, which affects traffic distribution, topology, and routing requirements. From these challenges, a specific topic should be selected and analyzed in detail to evaluate its impact on NoC performance.
- Research project or bachelor's/master's thesis
- Supervisor: M.Sc Max Tzschoppe
In this thesis, a linear program should be developed and implemented to map operator graphs onto FPGAs. The focus lies on the mathematical modelling of the problem. The thesis topic is aimed at master or motivated bachelor students.
- Bachelor/Master
- Supervisor: Dr.-Ing. Martin Wilhelm
In this work, various measures for the quality of a Network-on-Chip should be evaluated and compared. For this, meaningful examples as well as alternative measures should be derived using a NoC simulator. The topic is aimed at master or motivated bachelor students.
- Bachelor/Master
- Supervisor: Dr.-Ing. Martin Wilhelm
Development of embedded vision algorithms. Required knowledge: C, High-Level synthesis, Image Processing, FPGA programming helpful.