Embedded System Design with Reliability-Centric Optimization

Embedded systems are becoming increasingly popular due to their widespread applications. Hardware/software partitioning with reliability in consideration is becoming one of the most crucial steps in the design of complex embedded systems, especially for safety critical applications. In this paper, a reliability-centric approach is proposed to increase the reliability and decrease the potential errors of the embedded system during the partition stage. We use task graph to model the system function blocks, and treat reliability as the first-class metric during the mathematical formalization and optimization procedure. Experimental evaluations demonstrate that the proposed approach obtains a better solution with the trade off of time, cost and reliability compared to existing partitioning methods, with higher and more accurate reliability characterization for safety-critical systems.