GLUKHOV, ARTEM
GLUKHOV, ARTEM
DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA
An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories
2022-01-01 Baroni, Andrea; Glukhov, Artem; Pérez, Eduardo; Wenger, Christian; Calore, Enrico; Schifano, Sebastiano Fabio; Olivo, Piero; Ielmini, Daniele; Zambelli, Cristian
Compact Modeling and Mitigation of Parasitics in Crosspoint Accelerators of Neural Networks
2024-01-01 Lepri, N.; Glukhov, A.; Mannocci, P.; Porzani, M.; Ielmini, D.
Compact Modeling of Resistive Switching Memory (RRAM) With Voltage and Temperature Dependences
2023-01-01 Glukhov, A.; Bridarolli, D.; Ricci, S.; Li, R.; Shreya, S.; Farkhani, H.; Moradi, F.; Ielmini, D.
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays
2022-01-01 Glukhov, A; Lepri, N; Milo, V; Baroni, A; Zambelli, C; Olivo, P; Perez, E; Wenger, C; Ielmini, D
Exploring Process-Voltage-Temperature Variations Impact on 4T1R Multiplexers for Energy-aware Resistive RAM-based FPGAs
2022-01-01 Rizzi, T; Baroni, A; Glukhov, A; Bertozzi, D; Wenger, C; Ielmini, D; Zambelli, C
In-Memory Computing for Machine Learning and Deep Learning
2023-01-01 Lepri, N.; Glukhov, A.; Cattaneo, L.; Farronato, M.; Mannocci, P.; Ielmini, D.
In-memory computing with emerging memory devices: Status and outlook
2023-01-01 Mannocci, P.; Farronato, M.; Lepri, N.; Cattaneo, L.; Glukhov, A.; Sun, Z.; Ielmini, D.
Low Conductance State Drift Characterization and Mitigation in Resistive Switching Memories (RRAM) for Artificial Neural Networks
2022-01-01 Baroni, A; Glukhov, A; Perez, E; Wenger, C; Ielmini, D; Olivo, P; Zambelli, C
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators
2022-01-01 Lepri, N.; Glukhov, A.; Ielmini, D.
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks
2022-01-01 Lepri, N.; Baldo, M.; Mannocci, P.; Glukhov, A.; Milo, V.; Ielmini, D.
Process-Voltage-Temperature Variations Assessment in Energy-Aware Resistive RAM-Based FPGAs
2023-01-01 Rizzi, Tommaso; Baroni, Andrea; Glukhov, Artem; Bertozzi, Davide; Wenger, Christian; Ielmini, Daniele; Zambelli, Cristian
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators
2022-01-01 Glukhov, A.; Milo, V.; Baroni, A.; Lepri, N.; Zambelli, C.; Olivo, P.; Perez, E.; Wenger, C.; Ielmini, D.
Status and challenges of in-memory computing for neural accelerators
2022-01-01 Ielmini, D.; Lepri, N.; Mannocci, P.; Glukhov, A.