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Approximation Opportunities in Edge Computing Hardware: A Systematic Literature Review.

Authors :
DAMSGAARD, HANS JAKOB
OMETOV, ALEKSANDR
NURMI, JARI
Source :
ACM Computing Surveys; Dec2023, Vol. 55 Issue 12, p1-49, 49p
Publication Year :
2023

Abstract

With the increasing popularity of the Internet of Things and massive Machine Type Communication technologies, the number of connected devices is rising. However, although enabling valuable effects to our lives, bandwidth and latency constraints challenge Cloud processing of their associated data amounts. A promising solution to these challenges is the combination of Edge and approximate computing techniques that allows for data processing nearer to the user. This article aims to survey the potential benefits of these paradigms’ intersection. We provide a state-of-the-art review of circuit-level and architecture-level hardware techniques and popular applications. We also outline essential future research directions. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03600300
Volume :
55
Issue :
12
Database :
Complementary Index
Journal :
ACM Computing Surveys
Publication Type :
Academic Journal
Accession number :
162710071
Full Text :
https://doi.org/10.1145/3572772