Computational memory-based inference and training of deep neural networksAbu SebastianIrem Boybatet al.2019VLSI Circuits 2019
Phase-change memory enables energy-efficient brain-inspired computingManuel Le GalloAbu Sebastianet al.2019DRC 2019
Multi-ReRAM synapses for artificial neural network trainingIrem BoybatCecilia Giovinazzoet al.2019ISCAS 2019
Applications of Computation-In-Memory Architectures based on Memristive DevicesSaid HamdiouiHoang Anh Du Nguyenet al.2019DATE 2019
Training neural networks using memristive devices with nonlinear accumulative behaviorChristophe PiveteauManuel Le Galloet al.2019IMW 2019
All-Photonic in-Memory Computing Based on Phase-Change MaterialsCarlos RíosNathan Youngbloodet al.2019CLEO 2019
8-bit Precision In-Memory Multiplication with Projected Phase-Change MemoryIason GiannopoulosAbu Sebastianet al.2018IEDM 2018
Impact of conductance drift on multi-PCM synaptic architecturesIrem BoybatS. R. Nandakumaret al.2018NVMTS 2018
A phase-change memory model for neuromorphic computingS. R. NandakumarManuel Le Galloet al.2018Journal of Applied Physics