täiskirje prindi

Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability

autor
vastutusandmed
Natalia Cherezova, Salvatore Pappalardo, Mahdi Taheri, Mohammad Hasan Ahmadilivani, Bastien Deveautour, Alberto Bosio, Jaan Raik, Maksim Jenihhin
allikas
2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC)
kirjastus/väljaandja
ilmumisaasta
leheküljed
4 p. : ill
konverentsi nimetus, aeg
IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC), 06-09 October 2024
konverentsi toimumispaik
Tanger, Morocco
leitav
ISSN
2324-8440
ISBN
979-8-3315-3967-2
märkused
Bibliogr.: 12 ref
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
märksõna
võtmesõna
deep neural networks
data-flow architecture
hardware accelerator
approximate computing
circuit design
HW Accelerators based on Channels Vulnerability
Cherezova, N., Pappalardo, S., Taheri, M., Ahmadilivani, M.H., Deveautour, B., Bosio, A., Raik, J., Jenihhin, M. Heterogeneous Approximation of DNN HW Accelerators based on Channels Vulnerability // 2024 IFIP/IEEE 32nd International Conference on Very Large Scale Integration (VLSI-SoC). : IEEE, 2024. 4 p. : ill. https://doi.org//10.1109/VLSI-SoC62099.2024.10767798