Using STLs for Effective In-field Test of GPUs

Journal article (2022)

Authors

Josie E.Rodriguez Condia Politecnico di Torino
F. Augusto da Silva Cadence Design Systems, Computer Engineering - EEMCS
Ahmet Cagri Bagbaba Cadence Design Systems, Tallinn University of Technology
Juan-David Guerrero-Balaguera Politecnico di Torino
S. Hamdioui Quantum & Computer Engineering
Christian Sauer Cadence Design Systems
Matteo Sonza Reorda Politecnico di Torino
Research Group
Computer Engineering (EEMCS) (TU Delft)
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: https://doi.org/10.1109/MDAT.2022.3188573
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Published Date

2022

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

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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