Dependability of Future Edge-AI Processors
Pandora’s Box
Manil Dev Gomony (Eindhoven University of Technology)
Anteneh Gebregiorgis (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Moritz Fieback (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Marc Geilen (Eindhoven University of Technology)
Sander Stuijk (Eindhoven University of Technology)
Jan Richter-Brockmann (Ruhr-Universität Bochum)
Rajendra Bishnoi (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Mottaqiallah Taouil (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Said Hamdioui (TU Delft - Electrical Engineering, Mathematics and Computer Science)
undefined More Authors (External organisation)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
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.