Addition units are widely used in many computational kernels of several error-tolerant
applications such as machine learning and signal, image, and video processing. Besides …

In this paper, the approximate parallel prefix adders with minimizing hardware and timing
complexities are proposed. Moreover, an approximate multiplier based on these adders is …

This paper proposes a new design methodology to explore the state-of-the-art approximate
adders for accelerator architectures conceived in the realm of multiplier-less multiple …

Approximate computing maximizes area and energy savings for a trade-off between quality
and efficiency. Approximate arithmetic operators have emerged as an efficient alternative to …

With the rise of Internet of Things (IoT), low-cost resource-constrained devices have to be
more capable than traditional embedded systems, which operate on stringent power …

Today, the concept of approximation in computing is becoming more and more a “hot topic”
to investigate how computing systems can be more energy efficient, faster, and less …

This work proposes an accuracy-driven evaluation model of an approximate adder (AxA)
called an approximate parallel prefix adder (AxPPA). It explores the significance of …

This work proposes an integrated framework for accuracy and logic synthesis (LS)
estimation of approximate adders (FALSAx). It represents a versatile and robust framework …

The Newcomb-Benford law, also known as Benford's law, is the law of anomalous numbers
stating that in many real-life numerical datasets, including physical and statistical ones …

The Gaussian image filter is a compute-intensive approach to reduce undesirable artifacts
and generally serves as a pre-processing technique for emerging applications related to …