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

Diminishing benefits from technology scaling have pushed designers to look for new
sources of computing efficiency. Multicores and heterogeneous accelerator-based …

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

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 …

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 …

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 …

Approximate computing is an advanced computational technique that trades the accuracy of
computation results for better utilization of system resources. It has emerged as a new …

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