Using STLs for Effective In-field Test of GPUs

Josie E.Rodriguez Condia; Felipe Augusto da Silva; Ahmet Cagri Bagbaba; Juan-David  Guerrero-Balaguera; Said Hamdioui; Christian Sauer; Matteo  Sonza Reorda

doi:10.1109/MDAT.2022.3188573

Using STLs for Effective In-field Test of GPUs

Josie E.Rodriguez Condia, Felipe Augusto da Silva, Ahmet Cagri Bagbaba, Juan-David Guerrero-Balaguera, Said Hamdioui, Christian Sauer, Matteo Sonza Reorda

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

37 Downloads (Pure)

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

Original language	English
Article number	9815288
Pages (from-to)	109-117
Number of pages	9
Journal	IEEE Design & Test
Volume	40
Issue number	2
DOIs	https://doi.org/10.1109/MDAT.2022.3188573
Publication status	Published - 2022

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.

Keywords

Software-based Self-test (SBST)
Graphics Processing Units (GPUs)
Functional-safety
Reliability

Access to Document

10.1109/MDAT.2022.3188573

Using_STLs_for_Effective_In-Field_Test_of_GPUsFinal published version, 642 KB

Cite this

@article{d94cf0a053664cd39ddab20bc53445a0,

title = "Using STLs for Effective In-field Test of GPUs",

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",

keywords = "Software-based Self-test (SBST), Graphics Processing Units (GPUs), Functional-safety, Reliability",

author = "Condia, {Josie E.Rodriguez} and {Augusto da Silva}, Felipe and Bagbaba, {Ahmet Cagri} and Juan-David Guerrero-Balaguera and Said Hamdioui and Christian Sauer and {Sonza Reorda}, Matteo",

note = "Green Open Access added to TU Delft Institutional Repository {\textquoteleft}You share, we take care!{\textquoteright} – 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. ",

year = "2022",

doi = "10.1109/MDAT.2022.3188573",

language = "English",

volume = "40",

pages = "109--117",

journal = "IEEE Design & Test",

issn = "2168-2356",

publisher = "IEEE",

number = "2",

}

TY - JOUR

T1 - Using STLs for Effective In-field Test of GPUs

AU - Condia, Josie E.Rodriguez

AU - Augusto da Silva, Felipe

AU - Bagbaba, Ahmet Cagri

AU - Guerrero-Balaguera, Juan-David

AU - Hamdioui, Said

AU - Sauer, Christian

AU - Sonza Reorda, Matteo

N1 - 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.

PY - 2022

Y1 - 2022

N2 - 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

AB - 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

KW - Software-based Self-test (SBST)

KW - Graphics Processing Units (GPUs)

KW - Functional-safety

KW - Reliability

UR - http://www.scopus.com/inward/record.url?scp=85134217319&partnerID=8YFLogxK

U2 - 10.1109/MDAT.2022.3188573

DO - 10.1109/MDAT.2022.3188573

M3 - Article

SN - 2168-2356

VL - 40

SP - 109

EP - 117

JO - IEEE Design & Test

JF - IEEE Design & Test

IS - 2

M1 - 9815288

ER -

Using STLs for Effective In-field Test of GPUs

Abstract

Bibliographical note

Keywords

Access to Document

Other files and links

Fingerprint

Cite this