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

With the increasing popularity of the Internet of Things and massive Machine Type
Communication technologies, the number of connected devices is rising. However, although …

Energy consumption limits battery life in mobile devices and increases costs for servers and
data centers. Approximate computing addresses energy concerns by allowing applications …

It is projected that, within the coming decade, there will be more than 50 billion smart objects
connected to the Internet of Things (IoT). These smart objects, which connect the physical …

An apparatus and method are provided to perform constrained optimization of a constrained
property of an apparatus, which is complex due to having several components, and these …

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 …

Approximate computing trades off accuracy of results for resources such as energy or
computing time. There is a large and rapidly growing literature on approximate computing …

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

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 …

The intrinsic error resilience exhibited by emerging application domains enables a new
dimension for energy optimization of computing systems, namely the introduction of a …