Approximate computing has emerged as a new paradigm for high-performance and energy-
efficient design of circuits and systems. For the many approximate arithmetic circuits …

Approximate computing has recently emerged as a promising approach to energy-efficient
design of digital systems. Approximate computing relies on the ability of many systems and …

Computers have undergone tremendous improvements in performance over the last 60
years, but those improvements have significantly slowed down over the last decade, owing …

Approximate computing can decrease the design complexity with an increase in
performance and power efficiency for error resilient applications. This brief deals with a new …

Inexact (or approximate) computing is an attractive paradigm for digital processing at
nanometric scales. Inexact computing is particularly interesting for computer arithmetic …

Low power is an imperative requirement for portable multimedia devices employing various
signal processing algorithms and architectures. In most multimedia applications, human …

Many applications for signal processing, computer vision and machine learning show an
inherent tolerance to some computational error. This error resilience can be exploited to …

Approximate computing is an attractive design methodology to achieve low power, high
performance (low delay) and reduced circuit complexity by relaxing the requirement of …

Addition is a fundamental function in arithmetic operation; several adder designs have been
proposed for implementations in inexact computing. These adders show different …

Often as the most important arithmetic modules in a processor, adders, multipliers, and
dividers determine the performance and energy efficiency of many computing tasks. The …