EDEN: Enabling energy-efficient, high-performance deep neural network inference using approximate DRAM

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Author
Koppula, Skanda
Orosa, Lois
Giray Yağlıkçı, A.
Azizi, Roknoddin
Shahroodi, Tahacc
Kanellopoulos, Konstantinos
Mutlu, Onur
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Date
2019
Type
    Conference Paper
Publication status
published
External links
Book title
Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture
Pages / Article No.
166 - 181
Publisher
Association for Computing Machinery
Event
52nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '52), Columbus, OH, USA, October 12-16, 2019
Subject
deep neural networks; error tolerance; energy efficiency; machine learning; DRAM; memory systems
Organisational unit
09483 - Mutlu, Onur / Mutlu, Onur  
09483 - Mutlu, Onur / Mutlu, Onur  
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Citations
Cited 70 times in Scopus
ETH Bibliography
yes
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