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Emerging technologies and computing paradigms for the Internet of Everything applications

Aida Todri-Sanial 1 Xueqing Li 2 Juan Núñez 3
1 SmartIES - Smart Integrated Electronic Systems
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
Abstract : 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.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-02171974
Contributor : Aida Todri-Sanial <>
Submitted on : Wednesday, July 3, 2019 - 12:17:15 PM
Last modification on : Wednesday, December 11, 2019 - 1:32:02 AM

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Aida Todri-Sanial, Xueqing Li, Juan Núñez. Emerging technologies and computing paradigms for the Internet of Everything applications. International Journal of Circuit Theory and Applications, Wiley, 2019, ⟨10.1002/cta.2666⟩. ⟨lirmm-02171974⟩

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