Dependability of Future Edge-AI Processors: Pandora's Box

Manil Dev Gomony, Anteneh Gebregiorgis, Moritz Fieback, Marc Geilen, Sander Stuijk, Jan Richter-Brockmann, Rajendra Bishnoi, Lara Arche Andradas, Sven Argo, Tim Güneysu, Mottaqiallah Taouil, Henk Corporaal, Said Hamdioui

Research output: Contribution to conferencePaperAcademic

Abstract

This paper addresses one of the directions of the HORIZON EU CONVOLVE project being dependability of smart edge processors based on computation-in-memory and emerging memristor devices such as RRAM. It discusses how how this alternative computing paradigm will change the way we used to do manufacturing test. In addition, it describes how these emerging devices inherently suffering from many non-idealities are calling for new solutions in order to ensure accurate and reliable edge computing. Moreover, the paper also covers the security aspects for future edge processors and shows the challenges and the future directions.
Original languageEnglish
Pages1-6
DOIs
Publication statusPublished - 12 Jul 2023
EventIEEE European Test Symposium (ETS) -
Duration: 22 May 202326 May 2023

Conference

ConferenceIEEE European Test Symposium (ETS)
Period22/05/2326/05/23

Funding

This work is funded by EU’s Horizon Europe research and innovation programme under grant agreement No. 101070374.

FundersFunder number
European Union 's Horizon 2020 - Research and Innovation Framework Programme101070374

    Keywords

    • DSE
    • SoC
    • ULP
    • approximate computing
    • compiler stack
    • dynamic DL
    • edge-AI
    • memristor

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