Online Detection of Unique Faults in RRAMs

Conference Paper (2024)
Author(s)

Hanzhi Xun (TU Delft - Computer Engineering)

M. Fieback (TU Delft - Computer Engineering)

Mohammad Amin Yaldagard (TU Delft - Computer Engineering)

Sicong Yuan (TU Delft - Computer Engineering)

H. Aziza (Aix Marseille Université)

M. Taouil (TU Delft - Computer Engineering)

Said Hamdioui (TU Delft - Computer Engineering)

Research Group
Computer Engineering
DOI related publication
https://doi.org/10.1109/ets61313.2024.10567352
More Info
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Publication Year
2024
Language
English
Research Group
Computer Engineering
Bibliographical Note
Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public. @en
ISBN (electronic)
979-8-3503-4932-0
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Abstract

Due to the immature manufacturing process, Resistive Random Access Memories (RRAMs) are prone to exhibit new failure mechanisms and faults, which should be efficiently detected for high-volume production. Those unique faults are hard to detect but require specific Design-for-Test (DfT) circuit design. This paper proposes a DfT based on a parallel-reference write circuit that can detect all RRAM array faults during diagnosis, production testing, and its application in the field.

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