Leveraging Approximate Computing Techniques in 5:2 Compressors for Enhanced Energy Efficiency

As the demand for energy-efficient computing con-tinues to grow, researchers and engineers are exploring novel ways to reduce power consumption without compromising performance. Approximate computing has emerged as a promising paradigm, leveraging the intrinsic error resilience of certain ap-plications to achieve substantial energy savings. In this paper, we delve into the integration of approximate computing techniques into the design of 5:2 compressors, fundamental components in digital systems. We present a comprehensive analysis, including the introduction of controlled approximations, error metrics, error-aware logic optimization, extensive experimental results, applications, and future directions. Our findings highlight the potential of approximate 5:2 compressors to significantly enhance energy efficiency across a range of applications.