Dependability of Future Edge-AI Processors

Pandora’s Box

Conference paper (2023)

Authors

Manil Dev Gomony Eindhoven University of Technology
A.B. Gebregiorgis Computer Engineering - EEMCS
M. Fieback Computer Engineering - EEMCS
M. Geilen Eindhoven University of Technology
Sander Stuijk Eindhoven University of Technology
Jan Richter-Brockmann Ruhr-Universität Bochum
R.K. Bishnoi Computer Engineering - EEMCS
M. Taouil Computer Engineering - EEMCS
S. Hamdioui Quantum & Computer Engineering
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Research Group
Computer Engineering (EEMCS) (TU Delft)
Copyright: © 2023 Manil Dev Gomony, A.B. Gebregiorgis, M. Fieback, Marc Geilen, Sander Stuijk, Jan Richter-Brockmann, R.K. Bishnoi, M. Taouil, S. Hamdioui, More Authors
DOI
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https://doi.org/10.1109/ETS56758.2023.10174180
Memristor SoC ULP Dynamic DL Edge-AI Approximate computing DSE Compiler stack
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Published Date

2023

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

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.