Emerging Computing Devices: Challenges and Opportunities for Test and Reliability

Alberto Bosio, Ian O'Connor, Marcello Traiola, Jorge Echavarria, Jurgen Teich, Muhammad Abdullah Hanif, Muhammad Shafique, Said Hamdioui, Bastien Deveautour, Patrick Girard, Arnaud Virazel, Koen Bertels

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The paper addresses some of the opportunities and challenges related to test and reliability of three major emerging computing paradigms; i.e., Quantum Computing, Computing engines based on Deep Neural Networks for AI, and Approximate Computing (AxC). We present a quantum accelerator showing that it can be done even without the presence of very good qubits. Then, we present Dependability for Artificial Intelligence (AI) oriented Hardware. Indeed, AI applications shown relevant resilience properties to faults, meaning that the testing strongly depends on the application behavior rather than on the hardware structure. We will cover AI hardware design issues due to manufacturing defects, aging faults, and soft errors. Finally, We present the use of AxC to reduce the cost of hardening a digital circuit without impacting its reliability. In other words how to go beyond usual modular redundancy scheme.

Original languageEnglish (US)
Title of host publicationProceedings - 2021 IEEE European Test Symposium, ETS 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665418492
StatePublished - May 24 2021
Event26th IEEE European Test Symposium, ETS 2021 - Virtual, Bruges, Belgium
Duration: May 24 2021May 28 2021

Publication series

NameProceedings of the European Test Workshop
ISSN (Print)1530-1877
ISSN (Electronic)1558-1780


Conference26th IEEE European Test Symposium, ETS 2021
CityVirtual, Bruges


  • AI hardware
  • Approximate Computing
  • Emerging Computing Paradigm
  • Quantum Computing
  • Reliability
  • Testing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering
  • Software


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