Design and analysis of Adders for Next Gen Processors Using AI

Abstract—Optimizing the arithmetic operators is extremely important when designing a fast-processing architecture.Carry Look-Ahead (CLA) adders are commonly used while designing Arithmetic Logic Units (ALUs) because of theirfast-processing capability. This paper introduces a new optimized design of CLA using the Gate Diffusion Input (GDI)concept combined with XOR function which uses fewer power in comparison to the conventional static CMOS design.Furthermore, the paper also proposes an AI/ML predictive model using the Python programming language for theprediction of power characteristics of CLA for higher order CLA designs.

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Publication Details

Journal
Degrés
Published
2026-10-05
DOI
https://doi.org/10.5281/zenodo.23154745
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
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article

Design and analysis of Adders for Next Gen Processors Using AI

G. Divya Praneetha S. Mohammed Abdulla
Degrés
Low-power high-performance VLSI design
article

Design and analysis of Adders for Next Gen Processors Using AI

G. Divya Praneetha S. Mohammed Abdulla
article en

Abstract

Abstract—Optimizing the arithmetic operators is extremely important when designing a fast-processing architecture.Carry Look-Ahead (CLA) adders are commonly used while designing Arithmetic Logic Units (ALUs) because of theirfast-processing capability. This paper introduces a new optimized design of CLA using the Gate Diffusion Input (GDI)concept combined with XOR function which uses fewer power in comparison to the conventional static CMOS design.Furthermore, the paper also proposes an AI/ML predictive model using the Python programming language for theprediction of power characteristics of CLA for higher order CLA designs.

Degrés
G Pulla Reddy Dental College & Hospital (IN)
Openalex Percentile: Top 22%
Low-power high-performance VLSI design
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