SAIF-Guided In-Design IR Analysis with PnR: A Unified Flow for Power-Aware SoC Implementation

As new System-on-Chip (SoC) architectures continue to emerge at an accelerated rate, the need for efficient power management strategies has become imperative. The high functionality requirements combined with strict power consumption controls are essential in modern applications such as mobile computing, automotive electronics, and Internet-of-Things (IoT) systems. This paper reviews the implementation of SAIF-guided in-design IR analysis as part of the physical design process, serving as a logical extension of power-aware SoC implementation in Place-and-Route (PnR). By incorporating Switching Activity Interchange Format (SAIF) data earlier in the design cycle, designers can resolve IR drop problems more efficiently, leading to improved power integrity and enhanced chip reliability. The paper presents findings from recent work on dynamic mapping heuristics, voltage/frequency scaling, RTL-level optimization, and hybrid prediction models. It therefore provides a comprehensive discussion of power optimization techniques that leverage integrated modeling, validation methods, and predictive techniques. The combination of traditional and intelligent solutions in integrating power concerns into advanced SoC-based systems is demonstrated through UVM-based verification, machine learning-based power estimation, and clock-gating technology integration.