Implementation of Area Efficient Adders for Inexact Computing

This paper presents a novel approach to the design and implementation of area-efficient adders tailored for inexact computing paradigms. Inexact computing, driven by the demand for energy-efficient and high-performance computing solutions, embraces the idea that certain applications can tolerate errors in exchange for improved efficiency. The proposed adder designs leverage this concept by optimizing for reduced silicon area, making them particularly well-suited for applications where space and power constraints are critical.

The key contribution of this research lies in the development of area-efficient adder architectures that balance computational accuracy with resource utilization. We explore a range of design trade-offs, including approximate computing techniques and reduced bit-widths, to achieve substantial reductions in silicon footprint while maintaining acceptable levels of error resilience. These innovative adder designs are tailored to various inexact computing scenarios, offering adaptability and customization to suit specific application requirements.