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 …

Approximate computing has received significant attention as a promising strategy to
decrease power consumption of inherently error tolerant applications. In this paper, we focus …

Graphics Processing Units (GPUs) can accelerate diverse classes of applications, such as
recognition, gaming, data analytics, weather prediction, and multimedia. Many of these …

In recent years, inexact computing has been increasingly regarded as one of the most
promising approaches for reducing energy consumption in many applications that can …

As technology scaling is reaching its limits, new approaches have been proposed for
computional efficiency. Approximate computing is a promising technique for high …

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 …

This article aims to tackle two fundamental memory bottlenecks: limited off-chip bandwidth
(bandwidth wall) and long access latency (memory wall). To achieve this goal, our approach …

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 …

Recent advances in computing algorithms and hardware have rekindled interest in
developing high-accuracy, low-cost surrogate models for simulating physical systems. The …

Approximate computing appears as an emerging and promising solution for energy-efficient
system designs, exploiting the inherent error-tolerant nature of various applications. In this …