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 …

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 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 …

Current research in the area of Neural Networks (NN) has resulted in performance
advancements for a variety of complex problems. Especially, embedded system applications …

Approximate computing is an emerging paradigm for develo** highly energy-efficient
computing systems such as various accelerators. In the literature, many libraries of …

In this paper, we present our state-of-the-art approximate techniques that cover the main
pillars of approximate computing research. Our analysis considers both static and …

Leveraging the inherent error tolerance of a vast number of application domains that are
rapidly growing, approximate computing arises as a design alternative to improve the …

With the emergence of approximate computing as a design paradigm, many approximate
functional units have been proposed, particularly approximate adders and multipliers. These …

As modern applications demand an unprecedented level of computational resources,
traditional computing system design paradigms are no longer adequate to guarantee …

Printed electronics (PEs) promises on-demand fabrication, low nonrecurring engineering
costs, and subcent fabrication costs. It also allows for high customization that would be …