Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability
author
Cherezova, Natalia
Pappalardo, Salvatore
Taheri, Mahdi
Ahmadilivani, Mohammad Hasan
Deveautour, Bastien
Bosio, Alberto
Raik, Jaan
Jenihhin, Maksim
statement of authorship
Natalia Cherezova, Salvatore Pappalardo, Mahdi Taheri, Mohammad Hasan Ahmadilivani, Bastien Deveautour, Alberto Bosio, Jaan Raik, Maksim Jenihhin
source
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)
publisher
IEEE
year of publication
2024
pages
4 p. : ill
conference name, date
IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), 06-09 October 2024
conference location
Tanger, Morocco
url
https://doi.org//10.1109/VLSI-SoC62099.2024.10767798
subject term
riistvara
kiirendid
tehisnärvivõrgud
tõrketaluvus
keyword
deep neural networks
data-flow architecture
hardware accelerator
approximate computing
circuit design
HW Accelerators based on Channels Vulnerability
ISSN
2324-8440
ISBN
979-8-3315-3967-2
notes
Bibliogr.: 12 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
arvutisüsteemide instituut
language
inglise