Doctor of Engineering (DEng)


Electrical Engineering

Document Type



Power consumption has been an ever-present concern since the dawn of electronic computing. Every operation that a device performs consumes some amount of energy and as the demand for computation increases, both in scale and ubiquity, reducing this energy loss becomes more important. While modern devices are orders of magnitude more efficient than their ancestors on a per-operation basis, they are increasingly used in more resource constrained applications. Tiny, Internet of Things (IoT) machines are prevalent these days and demanded to perform data collection and analysis at all hours of the day for days at a time on small battery. Implantable sensors, such as a heart monitor, need to operate for years at a time with a heavily constrained power supply. Historically, gains in efficiency have been made by reducing the feature sizes of the transistors that make up our CMOS logic circuits. Smaller devices require a lower supply voltage and less charge for each operation, both reducing the energy needed. However, as the shrinking of transistors finds itself slowing, alternative techniques must be explored. Adiabatic logic, and more specifically, efficient charge recovery logic (ECRL), attempt to reduce power consumption through careful circuit design and power supply control. In this work, various methods are explored in the evaluation and improvement of ECRL, with new tools presented to further improve its power efficiency.



Committee Chair

Xu, Jian

Available for download on Tuesday, April 01, 2025