Approximate computing has emerged as a new design paradigm that exploits the inherent
error resilience of a wide range of application domains by allowing hardware …

Approximate computing, which refers to a class of techniques that relax the requirement of
exact equivalence between the specification and implementation of a computing system …

Approximate computing is an emerging paradigm where design accuracy can be traded off
for benefits in design metrics such as design area, power consumption or circuit complexity …

Many applications are inherently resilient to inexactness or approximations in their
underlying computations. Approximate circuit design is an emerging paradigm that exploits …

Approximate computing is an emerging paradigm that, by relaxing the requirement for full
accuracy, offers benefits in terms of design area and power consumption. This paradigm is …

Numerous application domains (eg, signal and image processing, computer graphics,
computer vision, and machine learning) are inherently error tolerant, which can be exploited …

Recent interest in approximate circuit design is driven by its potential for large energy
savings. In this paper, we address the problem of approximate logic synthesis (ALS). ALS is …

We present a survey of approximate techniques and discuss concepts for building power-
/energy-efficient computing components reaching from approximate accelerators to …

Approximate computing has been recognized as an effective low power technique for
applications with intrinsic error tolerance, such as image processing and machine learning …

Relaxing the traditional abstraction of “near-perfect” accuracy in hardware design can lead
to significant gains in energy efficiency, area, and performance. To exploit this opportunity …