Approximate computing trades off computation quality with effort expended, and as rising
performance demands confront plateauing resource budgets, approximate computing has …

The rapid growth of demanding applications in domains applying multimedia processing
and machine learning has marked a new era for edge and cloud computing. These …

As one of the most promising energy-efficient computing paradigms, approximate computing
has gained a lot of research attention in the past few years. This paper presents a survey of …

This paper presents different approximate designs for computing the FFT. The tradeoff
between accuracy and performance is achieved by adjusting the word length in each …

The challenging deployment of compute-intensive applications from domains such as
Artificial Intelligence (AI) and Digital Signal Processing (DSP), forces the community of …

Approximate computing has gained research attention recently as a way to increase energy
efficiency and/or performance by exploiting some applications' intrinsic error resiliency …

Approximate computing has emerged as a new paradigm that provides power-efficient and
high-performance arithmetic designs by relaxing the stringent requirement of accuracy …

This work is a survey on approximate computing and its impact on fault tolerance, especially
for safety-critical applications. It presents a multitude of approximation methodologies, which …

This article presents an overview of circuit-level techniques used for approximate computing
(AC), including both computation and data storage units. After providing some background …

In recent years approximate computing has been extensively explored as a paradigm to
design hardware and software solutions that save energy by trading off on the quality of the …