This technical article explores various approaches for optimizing Power, Performance, and Area (PPA) in digital design, addressing the critical balancing act required in modern semiconductor development. The discussion spans multiple dimensions of optimization, beginning with architectural techniques like multi-voltage design and clock gating, followed by effective methods including Design Space Research and technology mapping. Physical design considerations involving FinFET technology and strategic floorplanning are examined, alongside Dynamic Voltage and Frequency Scaling for real-time power management. Advanced techniques leveraging machine learning and approximate computing complete the exploration, demonstrating how emerging technologies are reshaping traditional optimization paradigms. Through each dimension, the article highlights the essential interplay between competing metrics and presents strategies for achieving optimal trade-offs in contemporary chip design.
Keywords: Asynchronous circuits, FinFET technology, Multi-voltage design, Power-performance trade-offs, machine learning optimization
