Composing graph theory and deep neural networks to evaluate seutype soft error effects

vastutusandmed
Aneesh Balakrishnan, Thomas Lange, Maximilien Glorieux, Dan Alexandrescu, Maksim Jenihhin
allikas
9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020
ilmumiskoht
Danvers
kirjastus/väljaandja
ilmumisaasta
konverentsi nimetus, aeg
9th Mediterranean Conference on Embedded Computing (MECO'2020), 8-11 June 2020
konverentsi toimumispaik
Budva, Montenegro
võtmesõna
GraphSAGE (Graph Based Neural Network)
gate-level circuit abstraction
Functional Failure Rate (FFR)
Single Event Transient (SET) and Soft Errors
märkused
Bibliogr.: 10 ref
TTÜ struktuuriüksus
keel
inglise
Balakrishnan, A., Lange, T., Glorieux, M., Alexandrescu, D., Jenihhin, M. Composing graph theory and deep neural networks to evaluate seutype soft error effects // 9th Mediterranean Conference on Embedded Computing (MECO'2020), Budva, Montenegro, 8-11 June 2020. Danvers : IEEE, 2020.