Parallelization of Automotive Control Software

Automotive control software is developed according to the AUTomotive Open System ARchitecture (AUTOSAR) standard. High development costs require the re-use of existing software when the hardware platform changes from a single-core to a multicore electronic control unit (ECU).

This Ph.D. thesis focuses on the migration of AUTOSAR legacy software to a multicore ECU. Different parallelization methods are proposed and evaluated; RunPar and Supertasks on runnable-level, timed implicit communication on task-level, and the parallel schedule quality metric for quantification of combinations. The methods respect data dependencies and still enable parallel execution, they exploit the energy-saving potential of the processor, they guarantee latency constraints, and they reproduce the reference data-flow.