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Main Title: Computing in the Blink of an Eye: Current Possibilities for Edge Computing and Hardware-Agnostic Programming
Author(s): Ghasemi, Mohammad Hossein
Lucía, Oscar
Lucia, Sergio
Type: Article
Language Code: en
Abstract: With the rapid advancements of the internet of things, systems including sensing, communication, and computation become ubiquitous. The systems that are built with these technologies are increasingly complex and therefore require more automation and intelligent decision-making, while often including contact with humans. It is thus critical that such interactions run smoothly in real time, and that the automation strategies do not introduce important delays, usually not larger than 100 milliseconds, as the blink of a human eye. Pushing the deployment of the algorithms on embedded devices closer to where data is collected to avoid delays is one of the main motivations of edge computing. Further advantages of edge computing include improved reliability and data privacy management. This work showcases the possibilities of different embedded platforms that are often used as edge computing nodes: embedded microcontrollers, embedded microprocessors, FPGAs and embedded GPUs. The embedded solutions are compared with respect to their cost, complexity, energy consumption and computing speed establishing valuable guidelines for designers of complex systems that need to make use of edge computing. Furthermore, this paper shows the possibilities of hardware-agnostic programming using OpenCL, illustrating the price to pay in efficiency when software can be easily deployed on different hardware platforms.
Issue Date: 28-Feb-2020
Date Available: 11-Sep-2020
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): Internet of Things
edge computing
system on chip
neural network
Sponsor/Funder: DFG, 414044773, Open Access Publizieren 2019 - 2020 / Technische Universität Berlin
Journal Title: IEEE Access
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publisher Place: New York, NY
Volume: 8
Publisher DOI: 10.1109/ACCESS.2020.2977087
Page Start: 41626
Page End: 41636
EISSN: 2169-3536
Appears in Collections:FG Internet of Things for Smart Buildings » Publications

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