Published in MICRO, 2019

Recommended citation: Skanda Koppula, Lois Orosa, A. Giray Yağlıkçı, Roknoddin Azizi, Taha Shahroodi, Konstantinos Kanellopoulos, and Onur Mutlu. "EDEN: enabling energy-efficient, high-performance deep neural network inference using approximate DRAM." In Proceedings of the 52nd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2019. http://loisorosa.github.io/files/pdf/eden.pdf