SAFFIRA: a Framework for Assessing the Reliability of Systolic-Array-Based DNN Accelerators
author
Taheri, Mahdi
Daneshtalab, Masoud
Raik, Jaan
Jenihhin, Maksim
Pappalardo, Salvatore
Jimenez, Paul
Deveautour, Bastien
Bosio, Alberto
statement of authorship
Mahdi Taheri, Masoud Daneshtalab, Jaan Raik, Maksim Jenihhin, Salvatore Pappalardo, Paul Jimenez, Bastien Deveautour, Alberto Bosio
source
2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024, Kielce, Poland
publisher
IEEE
year of publication
2024
pages
p. 19–24 : ill
conference name, date
2024 27th International Symposium on Design & Diagnostics of Electronic Circuits & Systems (DDECS) : 03-05 April 2024
conference location
Kielce, Poland
url
https://doi.org//10.1109/DDECS60919.2024.10508925
subject term
tehisnärvivõrgud
kompuutersimulatsioon
tõrketaluvus
kiirendid
keyword
hardware accelerator
systolic array
deep neural networks
fault simulation
reliability
resilience assessment
ISSN
2473-2117
ISBN
979-8-3503-5934-3
notes
Bibliogr.: 32 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise