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Partitioning Embedded Real-Time Control Software based on Communication Dependencies
2015
ACM/IEEE International Conference on Model Driven Engineering Languages and Systems
Electronic Control Units (ECUs), such as for automotive engine control, execute highly interdependent software units. These software units and their interaction are optimized for single-cores and need to be parallelized for upcoming multi-core processors. In this paper we investigate how to leverage the parallelism of the physical environment for the parallelization of legacy control software. Key for efficient parallelization is the knowledge of the physically required data flow timing which
dblp:conf/models/LowinskiZG15
fatcat:msdpiqfls5bk5d2bhoc4srogfu