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High-performance computer architectures for advanced driver assistance systems have become increasingly important in automotive research in the last several years. In order to achieve an optimal and robust perception of the vehicle's surroundings, current driver assistance applications typically rely on multiple sensor systems that deliver large amounts of incoming data from different sensor types. Such sensors include optical systems, which consist of a multi-camera setup combined with complex preprocessing algorithms. These algorithms exhibit high computation and data transport demands, as real-time image processing of multiple input streams is a mandatory requirement for these systems. At the same time, however, future driver assistance systems must adhere to strict power consumption requirements and automotive cost constraints in order to be considered for integration in series vehicles.