LEPRI, NICOLA

LEPRI, NICOLA  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 13 di 13 (tempo di esecuzione: 0.018 secondi).
Titolo Data di pubblicazione Autori File
Accurate Program/Verify Schemes of Resistive Switching Memory (RRAM) for In-Memory Neural Network Circuits 1-gen-2021 Milo, ValerioZambelli, CristianLepri, NicolaIelmini, Daniele +
Binary‐Stochasticity‐Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better‐than‐Software Accuracy 1-gen-2023 Wang, WeiLepri, NicolaIelmini, Daniele +
Compact Modeling and Mitigation of Parasitics in Crosspoint Accelerators of Neural Networks 1-gen-2024 Lepri, N.Glukhov, A.Mannocci, P.Porzani, M.Ielmini, D.
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays 1-gen-2022 Glukhov, ALepri, NMilo, VIelmini, D +
Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM) 1-gen-2023 Cattaneo, LBaldo, MLepri, NSancandi, FBorghi, MIelmini, D +
In-Memory Computing for Machine Learning and Deep Learning 1-gen-2023 Lepri, N.Glukhov, A.Cattaneo, L.Farronato, M.Mannocci, P.Ielmini, D.
In-memory computing with emerging memory devices: Status and outlook 1-gen-2023 Mannocci, P.Farronato, M.Lepri, N.Cattaneo, L.Glukhov, A.Ielmini, D. +
In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime 1-gen-2023 Lepri, NMannocci, PIelmini, D +
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators 1-gen-2022 Lepri N.Glukhov A.Ielmini D.
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks 1-gen-2022 Lepri N.Baldo M.Mannocci P.Glukhov A.Milo V.Ielmini D.
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips 1-gen-2023 Ielmini, DanieleLepri, Nicola +
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators 1-gen-2022 A. GlukhovV. MiloN. LepriD. Ielmini +
Status and challenges of in-memory computing for neural accelerators 1-gen-2022 Ielmini D.Lepri N.Mannocci P.Glukhov A.