MetaFS: Model-driven Fault Simulation Framework

Endri Kaja, Nicolas Gerlin, Monideep Bora, Keerthikumara Devarajegowda, Dominik Stoffel, Wolfgang Kunz, Wolfgang Ecker

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

2 Zitate (Scopus)

Abstract

The adoption of new technologies by the automotive industry drives the need for electronic component suppliers to assess and scrutinize the risk of technologies that are being integrated into the safety-critical systems. To cope with these challenges, engineers are constantly looking for highly automated and efficient functional safety approaches to achieve the required certifications for their designs. In this paper, we propose MetaFS, a metamodel-based simulator-independent fault simulation framework that provides multi-purpose fault injection strategies such as statistical fault injection, direct fault injection, and exhaustive fault injection. The framework enables the injection of stuck-at faults, single-event transients, single-event upsets as well as timing faults. The proposed approach scales to a wide range of RISC-V based CPU subsystems with support for various RISC-V ISA standard extensions and, additional safety and security related custom instruction extensions. The subsystems were running the Dhrystone application and a specific in-house Fingerprint calculation application respectively. A minimal effort of 1 person-day was required to conduct 22 different fault simulation campaigns, providing significant data regarding subsystem failure rates.

OriginalspracheEnglisch
TitelProceedings - 35th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2022
Redakteure/-innenLuca Cassano, Sreejit Chakravarty, Alberto Bosio
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781665459389
DOIs
PublikationsstatusVeröffentlicht - 2022
Veranstaltung35th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2022 - Austin, USA/Vereinigte Staaten
Dauer: 19 Okt. 202221 Okt. 2022

Publikationsreihe

NameProceedings - IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT
Band2022-October
ISSN (Print)2576-1501
ISSN (elektronisch)2765-933X

Konferenz

Konferenz35th IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFT 2022
Land/GebietUSA/Vereinigte Staaten
OrtAustin
Zeitraum19/10/2221/10/22

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