Platform-based Mixed-Signal System Design
Xuening Sun, Chang-Ching Wu and Alberto L. Sangiovanni-Vincentelli
Gigascale Systems Research Center
The increasing complexity of mixed-signal design due to extreme design constraints, increasing process unpredictability, and time-to-market demands requires a new look into design methods. Traditional top-down design requires many design iterations and incremental changes to churn out suboptimal designs that may or may not meet design requirements. This task focuses on adapting the platform-based design paradigm to mixed-signal systems to facilitate IP reuse, high-level system design with guaranteed feasibility, and shortened time-to-market of innovative applications.
Specifically, we focus on providing a set of tools and methods to support:
(1) Efficient and accurate modeling of circuit (RF, analog, digital, and mixed-signal) performance space to create a comprehensive component library to serve as a platform for high-level system design;
(2) Automatic physical architecture synthesis (component composition) of mixed-signal systems given application-specific signal processing algorithms and the component library to generate the set of all feasible architectures; and
(3) Global (architecture and circuit configuration) system optimization to determine optimal system design for the given application.
Figure 1: Architecture synthesis flow
Figure 2: Analog-PBD approach