Impact of Phase-Change Memory Drift on Energy Efficiency and Accuracy of Analog Compute-in-Memory Deep Learning Inference (Invited).
Martin M. FrankNing LiMalte J. RaschShubham JainChing-Tzu ChenRamachandran MuralidharJin-Ping HanVijay NarayananTimothy PhilipKevin BrewAndrew SimonIqbal SarafNicole SaulnierIrem BoybatStanislaw WozniakAbu SebastianPritish NarayananCharles MackinAn ChenHsinyu TsaiGeoffrey W. BurrPublished in: IRPS (2023)