OPTIMIZING PERFORMANCE AND POWER: MAJORITY LOGIC TECHNIQUES FOR APPROXIMATE ADDERS AND MULTIPLIERS

Abstract

In the era of energy-efficient and high-speed computing, approximate arithmetic circuits have emerged as promising solutions to reduce power consumption and improve performance at the cost of acceptable accuracy loss. This paper presents the design and analysis of novel majority logic-based approximate adders and multipliers aimed at optimizing the trade-off between computational accuracy, power efficiency, and speed. By leveraging majority logic gates, the proposed architectures simplify complex arithmetic operations, enabling reduced hardware complexity and lower power dissipation. Comprehensive simulations and evaluations demonstrate that these approximate circuits achieve significant improvements in delay, power consumption, and area compared to conventional exact arithmetic units, while maintaining error rates within tolerable limits for multimedia, machine learning, and signal processing applications. The results validate the efficacy of majority logic techniques as a robust approach for designing nextgeneration approximate arithmetic units suitable for energy-constrained and real-time systems