Design and analysis of Approximate 4:2 Compressors for high performance multiplier

Abstract The quest for high-speed computing with optimal power usage has spurred the rise of approximate computing, a methodology that sacrifices precision for improved power efficiency. This paper delves into the realm of approximate computing by exploring the power consumption aspects of both existing and novel architectures of approximate 4:2 compressors. Employing Intel Quartus Prime, the study seeks to elevate the performance metrics of multipliers. By scrutinizing the power consumption characteristics, the research aims to shed light on the efficacy of approximate computing in real-world scenarios. Through meticulous analysis, it intends to uncover the trade-offs between accuracy and energy consumption, elucidating the potential benefits and drawbacks of adopting approximate computing methodologies in practical applications. The investigation into 4:2 compressors serve as a microcosm for broader discussions surrounding approximate computing's role in contemporary computing paradigms. It endeavors to provide insights into how approximate computing techniques can be harnessed to bolster the efficiency and performance of computational systems, particularly in scenarios where stringent power constraints coexist with the demand for high computational throughput.