Quantum mechanics

Adder

Voltage

Engineering

Efficient energy use

MATLAB

Image quality

Carry-save adder

Operating system

Power (physics)

Computer science

Electronic circuit

Serial binary adder

Capacitor

Transistor

Physics

Transistor count

Image (mathematics)

Electronic engineering

Artificial intelligence

CMOS

Electrical engineering

Sustainable Computing Informatics and Systems

In this article, a low power, area-efficient full adder cell designed with approximate outputs is presented. The static Complementary Metal Oxide Semiconductor (CMOS) structure is applied to design this approximate full adder energy efficient (up to 72% improvement). The proposed cell simulated in HSPICE with 32nm CMOS technology in four different scenarios. First, the proposed cell was assessed as a 1-bit full adder cell; second, the proposed cell applied in a 4-bit carry ripple adder structure. In the third and fourth scenarios, the proposed cell's power consumption and performance were assessed in different power supply voltages, temperatures, and a larger load capacitor. Approximate computing is a design paradigm that is applicable in image processing as an error-resilient application. MATLAB exploited to assess the proposed approximate full adder in image addition application in three different scenarios. The outputs evaluated by different image quality metrics (such as peak signal to noise ratio (PSNR)) and the final outputs of approximation are acceptable in this application due to image quality metrics.

LAHAF: Low-power, area-efficient, and high-performance approximate full adder based on static CMOS