Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networks
autor
vastutusandmed
Bahram Parchekani, Samira Nazari, Mohammad Hasan Ahmadilivani, Ali Azarpeyvand, Jaan Raik, Tara Ghasempouri and Masoud Daneshtalab
allikas
37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 2024
ilmumiskoht
Piscataway, New Jersey
kirjastus/väljaandja
ilmumisaasta
leheküljed
4 p. : ill
konverentsi nimetus, aeg
37th IEEE Iternational Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, 8-10 October, 2024
konverentsi toimumispaik
Harwell, Oxfordshire, Didcot, UK
ISSN
2576-1501
ISBN
979-835036688-4
märkused
Bibliogr.: 18 ref
teaduspublikatsioon
teaduspublikatsioon
TTÜ struktuuriüksus
keel
inglise
võtmesõna
klassifikaator
Parchekani, B., Nazari, S., Ahmadilivani, M.H., Azarpeyvand, A., Raik, J., Ghasempouri, T., Daneshtalab, M. Zero-memory-overhead clipping-based fault tolerance for LSTM deep neural networks // 37th IEEE International Symposium on Defect and Fault Tolerancein VLSI and Nanotechnology Systems, Harwell, Oxfordshire, Didcot, UK, October 8th - 10th, 2024. Piscataway, New Jersey : IEEE, 2024. 4 p. : ill.