Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems – a Case Study

Lukas Sommer, Florian Stock, Leonardo Solis-Vasquez, Andreas Koch
Embedded Systems and Applications Group, TU Darmstadt, Germany
28th EUROMICRO International Conference on Parallel, Distributed and Network-Based Processing (PDP’20), 2020


   title={Using Parallel Programming Models for Automotive Workloads on Heterogeneous Systems-a Case Study},

   author={Sommer, Lukas and Stock, Florian and Solis-Vasquez, Leonardo and Koch, Andreas},



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Due to the ever-increasing computational demand of automotive applications, and in particular autonomous driving functionalities, the automotive industry and supply vendors are starting to adopt parallel and heterogeneous embedded platforms for their products. However, C and C++, the currently dominating programming languages in this industry, do not provide sufficient mechanisms to target such platforms. Established parallel programming models such as OpenMP and OpenCL on the other hand are tailored towards HPC systems. In this case study, we investigate the applicability of established parallel programming models to automotive workloads on heterogeneous platforms. We pursue a practical approach by re-enacting a typical development process for typical embedded platforms and representative benchmarks.
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