Jens Froemmer

"An Automotive CGRA and its Model-Based Configuration"

Domain specific coarse-grained reconfigurable architectures offer a performance and efficiency close to hardwired implementations when accelerating multiple selected data intensive algorithms. However, existing solutions to increase the performance of a microcontroller are either not automotive grade, not suitable for a subset of the expected algorithms, or too expensive in terms of area. Hence, we introduce the novel Data Flow Architecture (DFA) for embedded hardware accelerators. The DFA targets not only automotive microcontrollers, but also microprocessors, smart sensors and similar applications. In order to achieve an as high as possible utilization of the DFA, a modeling framework enables algorithm experts and hardware experts to collaboratively and efficiently transfer algorithms onto the DFA.

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