AxEnMULT: design of an efficient and reliable approximate encoding-based multiplier
author
Rafiq, Ahsan
Bosio, Alberto
Pappalardo, Salvatore
Jenihhin, Maksim
statement of authorship
Ahsan Rafiq, Alberto Bosio, Salvatore Pappalardo, Maksim Jenihhin
source
2025 IEEE Computer Society Annual Symposium on VLSI (ISVLSI)
location of publication
Piscataway
publisher
IEEE
year of publication
2025
pages
p. 1-6
conference name, date
28th IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2025, 6-9 July 2025
conference location
Kalamata
url
https://doi.org/10.1109/ISVLSI65124.2025.11130248
subject term
tehisintellekt
riistvara
elektriahelad
kiirendid
Scopus
https://www.scopus.com/sourceid/21100286357
https://www.scopus.com/pages/publications/105016129920?origin=resultslist
WOS
https://www.webofscience.com/wos/woscc/full-record/WOS:001575951700047
keyword
approximate computing
approximate multipliers
DNN hardware accelerators
edge AI
low-power circuits and systems
signed multiplication
ISSN
2159-3469
ISBN
979-8-3315-3477-6
notes
Bibliogr.: 26 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise