A systematic literature review on hardware reliability assessment methods for deep neural networks
author
Ahmadilivani, Mohammad Hasan
Taheri, Mahdi
Raik, Jaan
Daneshtalab, Masoud
Jenihhin, Maksim
statement of authorship
Mohammad Hasan Ahmadilivani, Mahdi Taheri, Jaan Raik, Masoud Daneshtalab, Maksim Jenihhin
source
ACM Computing Surveys
publisher
ACM
journal volume number month
vol. 56, 6
year of publication
2024
pages
art. 141
url
https://doi.org/10.1145/3638242
subject term
tehisnärvivõrgud
riistvara
tehisintellekt
tehisõpe
analüütilised meetodid
veaavastus
keyword
deep neural networks
DNN hardware accelerator
fault injection
reliability assessment
ISSN
0360-0300
notes
Bibliogr.: 201
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/23038
https://www.scopus.com/record/display.uri?eid=2-s2.0-85188964919&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1145%2F3638242%29&relpos=0
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ACM%20COMPUT%20SURV&year=2023
https://www.webofscience.com/wos/woscc/full-record/WOS:001208566200007
category (general)
Mathematics
Matemaatika
Computer science
Arvutiteadus
category (sub)
Mathematics. Theoretical computer science
Matemaatika. Teoreetiline arvutiteadus
Computer science. General computer science
Arvutiteadus. Üldine arvutiteadus
TalTech department
arvutisüsteemide instituut
language
inglise