This paper proposes a new design methodology to explore the state-of-the-art approximate
adders for accelerator architectures conceived in the realm of multiplier-less multiple …

Approximate computing (AC) is an emerging computing paradigm for energy efficiency. AC
is most suitable for error-tolerant applications, eg, image processing. The Sobel filter is an …

This paper presents MAxPy, a framework for bridging approximate computing (AxC) circuit
design to its applications. MAxPy is an application-agnostic framework able to automatically …

In recent years, many approximate arithmetic circuits have been proposed to exploit
available error resiliency in a wide set of applications. Approximate adders, multipliers, and …

Parallel prefix adder topologies suffer from carry chains forming critical paths, limiting the
performance and therefore the efficiency. We study approximation methods that offload the …

The Gaussian image filter is a compute-intensive approach to reduce undesirable artifacts
and generally serves as a pre-processing technique for emerging applications related to …

In this study, a Sobel filter with approximate computing was used to detect the edge of an
image and compare the quality of the output images and error metrics of various …

The approximate computing has gained wide popularity to achieve low power and high-
performance designs for portable devices employing multimedia applications. This paper …

Asynchronous quasi-delay-insensitive (QDI) implementation of approximate addition is
described in this article. The objective is to provide an insight into the optimization in design …

Approximate Computing trades off computation accuracy against performance or energy
efficiency. It is a design paradigm that arose in the last decade as an answer to diminishing …