Data Flow and Control Optimizations for Hardware and Software Co-synthesis in Embedded Systems

Current co-design methodologies of control dominated hardware software systems su er from ine cient hardware (HW) and software (SW) synthesis of the various reactive system tasks. In order to improve synthesis quality, we propose a methodology that incorporates data ow in addition to control optimizations performed on a suitable task representation in a hardware and software co-design environment. We introduce our approach here, and report initial results of our investigation which show that performing such optimizations can lead to size and performance improvements in both the synthesized hardware and software.