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 …

In this article, a reliable static random access memory (SRAM) circuit design is proposed for
improved thermal and electrical performance at 5-nm technology nodes. The proposed …

When a computational task tolerates a relaxation of its specification or when an algorithm
tolerates the effects of noise in its execution, hardware, system software, and programming …

Recent interest in approximate computation is driven by its potential to achieve large energy
savings. This paper formally demonstrates an optimal way to reduce energy via voltage over …

Well over a decade ago, many believed that an engine of growth driving the semiconductor
and computing industries---captured nicely by Gordon Moore's remarkable prophecy …

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 …

Approximate computing has emerged as a promising design alternative for delivering power-
efficient systems and circuits by exploiting the inherent error resiliency of numerous …

This paper aims to take stock of recent advances in the field of energy-quality (EQ) scalable
circuits and systems, as promising direction to continue the historical exponential energy …

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 …