Approximate Computing offers enhanced energy efficiency by exploring quality relaxation
on applications. Application-agnostic hardware-level techniques can provide high benefits …

Approximate memories reduce power and increase energy efficiency, at the expense of
errors in stored data. These errors may be tolerated, up to a point, by many applications with …

Approximate memories provide energy savings or performance improvements at the cost of
occasional errors in stored data. Applications that tolerate errors on their data profit from this …

Representing the interaction between accurate and approximate hardware modules at the
architecture level is essential to understand the impact of Approximate Computing in a …

Approximate systems are designed to offer improved efficiency with potentially reduced
quality of results. Quality of output in these systems is typically quantified in comparison to a …

Approximate DRAM can reduce energy consumption by exposing application data to
probabilistic errors. However, not all data is amenable to approximation, and errors in …

In the modern computing era, characterized by saturated performance and high production
costs, Approximate Computing has been representing the most attractive breakthrough for …

Approximate Computing is a fairly new computing paradigm that aims at optimising
execution time, improving performance and energy efficiency by sacrificing accuracy of …