Approximate Computing: A Survey

By Qiang Xu, Todd Mytkowicz, Nam Sung Kim. IEEE design & test, 2016

497 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Electrical and Electronic Engineering, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/700e9568b46fe9922dc0b8037a05e06f6b3f141e

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pan Hui

In Electrical and Electronic Engineering

1. Pan Hui

Citations in the corpus

• Mobile Augmented Reality Survey: From Where We Are to Where We Go (2017, background): “[283], Mittal [284], and Han and Orshansky [285] describe the reasons behind approximate computing and explore the current approximation techniques in hardware and software.”