Research Area: Edge Computing
The growing data-intensive applications that run on IoT edge devices require the circuit to be low-power consumption and energy-efficient for limited resources. As conventional Complementary Metal-Oxide-Semiconductor (CMOS) scales down to the nanometer technology node, it reaches its limits, such as leakage and power consumption. Adiabatic logic and approximate computing are emerging techniques for the low-power circuit. Adiabatic logic can recycle energy which is a promising solution for building energy-efficient circuits. However, the power clock scheme and dual-rail structure of adiabatic logic increase the overall area. Power consumption is further reduced by applying approximate computing while reducing the complexity and size of the circuit.
Further, we have proposed the True Sum Approximate Adder (TSAA) and the True Carry-out Approximate Adder (TCAA) that are energy-efficient and secured against DPA attacks. At 12.5 MHz operating frequency and 45 nm technology node, the DPA-resistant adiabatic TSAA and TCAA achieved power savings of 95.4% and 95.48%, energy savings of 90.80%, and 90.96% in comparison with the standard CMOS AMA.
Name of the Researcher: Wu Yang
Name of the Supervisor(s): Dr. Himanshu Thapliyal
Year of Completion: 2021
University: University of Kentucky
Thesis Link: Home Page Url
