Accurate weight mapping in a multi-memristive synaptic unitMichele MartemucciBenedikt Kerstinget al.2021ISCAS 2021
Architecting more than Moore: Wireless plasticity for massive heterogeneous computer architectures (WiPLASH)Joshua KleinAlexandre Levisseet al.2021CF 2021
Mushroom-Type phase change memory with projection liner: An array-level demonstration of conductance drift and noise mitigationRobert L. BruceSyed Ghazi Sarwatet al.2021IRPS 2021
Phase-change memory models for deep learning training and inferenceS. R. NandakumarIrem Boybatet al.2019ICECS 2019
Computational memory-based inference and training of deep neural networksAbu SebastianIrem Boybatet al.2019VLSI Circuits 2019
Multi-ReRAM synapses for artificial neural network trainingIrem BoybatCecilia Giovinazzoet al.2019ISCAS 2019
Impact of conductance drift on multi-PCM synaptic architecturesIrem BoybatS. R. Nandakumaret al.2018NVMTS 2018
Mixed-precision architecture based on computational memory for training deep neural networksS. R. NandakumarManuel Le Galloet al.2018ISCAS 2018
An efficient synaptic architecture for artificial neural networksIrem BoybatManuel Le Galloet al.2017NVMTS 2017
Improved deep neural network hardware-Accelerators based on non-volatile-memory: The local gains techniqueIrem BoybatCarmelo Di Nolfoet al.2017ICRC 2017