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Emerging technologies and computing paradigms for the Internet of Everything applications. International Journal of Circuit, Theory, and Applications
Author(s) -
TodriSanial Aida,
Li Xueqing,
Núñez Juan
Publication year - 2019
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2666
Subject(s) - computer science , reliability (semiconductor) , the internet , efficient energy use , moore's law , task (project management) , cmos , energy (signal processing) , emerging technologies , data science , power (physics) , world wide web , electrical engineering , systems engineering , engineering , artificial intelligence , statistics , physics , mathematics , quantum mechanics , operating system
Emerging Internet of Everything (IoE) applications and Artificial Intelligence (AI) require computing platforms to extract task‐relevant information from increasingly large amounts of data. But these requirements place stringent constraints on energy efficiency, performance, cost, and reliability. Traditionally, silicon CMOS scaling has been relied upon to meet these energy and delay constraints. However, the energy and delay benefits achievable via scaling are diminishing. Therefore, there is an urge to explore new energy‐efficient devices and interconnects as the building blocks for energy efficient systems. Moreover, we need to rethink how architectures and systems are designed to optimize power, performance, and reliability. This will require to investigate novel devices beyond CMOS and novel computing paradigms beyond Von‐Neumman to achieve a remarkable improvement in performance, cost, reliability, and energy efficiency.