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Using STLs for Effective In-field Test of GPUs

Journal Article (2022)
Author(s)

Josie E.Rodriguez Condia (Politecnico di Torino)

F. Silva (Cadence Design Systems, TU Delft - Computer Engineering)

Ahmet Cagri Bagbaba (Cadence Design Systems, Tallinn University of Technology)

Juan-David Guerrero-Balaguera (Politecnico di Torino)

Said Hamdioui (TU Delft - Quantum & Computer Engineering)

Christian Sauer (Cadence Design Systems)

Matteo Sonza Reorda (Politecnico di Torino)

Research Group
Computer Engineering
Copyright
© 2022 Josie E.Rodriguez Condia, F. Augusto da Silva, Ahmet Cagri Bagbaba, Juan-David Guerrero-Balaguera, S. Hamdioui, Christian Sauer, Matteo Sonza Reorda
DOI related publication
https://doi.org/10.1109/MDAT.2022.3188573
More Info
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Publication Year
2022
Language
English
Copyright
© 2022 Josie E.Rodriguez Condia, F. Augusto da Silva, Ahmet Cagri Bagbaba, Juan-David Guerrero-Balaguera, S. Hamdioui, Christian Sauer, Matteo Sonza Reorda
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
Issue number
2
Volume number
40
Pages (from-to)
109-117
Reuse Rights

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

Editor's notes: GPUs have seen an increased adoption in autonomous systems. This article assesses the fault coverage that can be attained through software self-test strategies for in-field test of GPUs. - Nicola Nicolici, McMaster University

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