A Review of Approximate Multipliers and Its Applications

Abstract

Recently Low Power (LP) and High Speed (HS) of real-time computing is necessary for various application areas like image processing, neural network, internet of things and Digital Signal Processing (DSP). 86% of the data processing time in a real-time 3-D graphics system is due to DIVision (DIV) operation, and MULtiplier (MUL) OPeration (OP). Approximate MultiPlier (AMP) is the possible key for hardware efficient and fast MUL OP. In the last 10 years, the APP multiplier becomes a main arithmetic component for many applications. However, development in systematic approach along with the merits and demerits is not relived in the literature survey. Hence this paper not only presents about the development of the AMP architectures design and evolution but also presents research areas in AMP. This systematic study includes the new architectures used by researchers to improve the design of AMP and the advantages over other methods in respect of AMP are also highlighted.