GLUKHOV, ARTEM

GLUKHOV, ARTEM  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

Mostra records
Risultati 1 - 14 di 14 (tempo di esecuzione: 0.019 secondi).
Titolo Data di pubblicazione Autori File
An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories 1-gen-2022 Glukhov, ArtemIelmini, 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.
Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences 1-gen-2023 Glukhov, A.Bridarolli, D.Ricci, S.Ielmini, D. +
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators 1-gen-2024 Pistolesi, L.Glukhov, A.Carissimi, M.Redaelli, A.Bonfanti, A.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 +
Exploring Process-Voltage-Temperature Variations Impact on 4T1R Multiplexers for Energy-aware Resistive RAM-based FPGAs 1-gen-2022 Glukhov, AIelmini, 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. +
Low Conductance State Drift Characterization and Mitigation in Resistive Switching Memories (RRAM) for Artificial Neural Networks 1-gen-2022 Glukhov, AIelmini, 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.
Process-Voltage-Temperature Variations Assessment in Energy-Aware Resistive RAM-Based FPGAs 1-gen-2023 Glukhov, ArtemIelmini, Daniele +
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.