Nazari, S., Taheri, M., Azarpeyvand, A., Afsharchi, M., Ghasempouri, T., Herglotz, C., Daneshtalab, M., Jenihhin, M.

full record print

FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs

author

Nazari, Samira

Taheri, Mahdi

Azarpeyvand, Ali

Afsharchi, Mohsen

Ghasempouri, Tara

Herglotz, Christian

Daneshtalab, Masoud

Jenihhin, Maksim

statement of authorship

Samira Nazari, Mahdi Taheri, Ali Azarpeyvand, Mohsen Afsharchi, Tara Ghasempouri, Christian Herglotz, Masoud Daneshtalab, and Maksim Jenihhin

source

2024 IEEE 33rd Asian Test Symposium (ATS)

publisher

IEEE

year of publication

2024

pages

p. 1-6 : ill

conference name, date

2024 IEEE 33rd Asian Test Symposium (ATS), 17-20 December 2024

conference location

Ahmedabad, India

url

https://doi.org//10.1109/ATS64447.2024.10915463

ISSN

2377-5386

ISBN

979-8-3315-2916-1

notes

Bibliogr.: 20 ref

scientific publication

teaduspublikatsioon

TalTech department

arvutisüsteemide instituut

language

inglise

Märksõnad ja võtmesõnad

subject term

tehisnärvivõrgud

kiirendid

usaldusväärsus

tõrketaluvus

keyword

deep neural networks

parallel processing

memory overhead

reliability

DNN accelerator

Teaduspublikatsiooni meetrika

classifier

3.1

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Nazari, S., Taheri, M., Azarpeyvand, A., Afsharchi, M., Ghasempouri, T., Herglotz, C., Daneshtalab, M., Jenihhin, M. FORTUNE: A Negative Memory Overhead Hardware-Agnostic Fault TOleRance TechniqUe in DNNs // 2024 IEEE 33rd Asian Test Symposium (ATS). : IEEE, 2024. p. 1-6 : ill. https://doi.org//10.1109/ATS64447.2024.10915463