| Accurate program/verify schemes of resistive switching memory (RRAM) for in-memory neural network circuits V Milo, A Glukhov, E Pérez, C Zambelli, N Lepri, MK Mahadevaiah, ... IEEE Transactions on Electron Devices 68 (8), 3832-3837, 2021 | 77 | 2021 |
| In-memory computing with emerging memory devices: Status and outlook P Mannocci, M Farronato, N Lepri, L Cattaneo, A Glukhov, Z Sun, ... APL Machine Learning 1 (1), 2023 | 42 | 2023 |
| Modeling and compensation of IR drop in crosspoint accelerators of neural networks N Lepri, M Baldo, P Mannocci, A Glukhov, V Milo, D Ielmini IEEE Transactions on Electron Devices 69 (3), 1575-1581, 2022 | 20 | 2022 |
| Low conductance state drift characterization and mitigation in resistive switching memories (RRAM) for artificial neural networks A Baroni, A Glukhov, E Pérez, C Wenger, D Ielmini, P Olivo, C Zambelli IEEE Transactions on Device and Materials Reliability 22 (3), 340-347, 2022 | 18 | 2022 |
| In-memory computing for machine learning and deep learning N Lepri, A Glukhov, L Cattaneo, M Farronato, P Mannocci, D Ielmini IEEE Journal of the Electron Devices Society 11, 587-601, 2023 | 8 | 2023 |
| Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators N Lepri, A Glukhov, D Ielmini 2022 IEEE International Reliability Physics Symposium (IRPS), 3C. 2-1-3C. 2-6, 2022 | 8 | 2022 |
| Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators A Glukhov, V Milo, A Baroni, N Lepri, C Zambelli, P Olivo, E Pérez, ... 2022 IEEE International Reliability Physics Symposium (IRPS), 3C. 3-1-3C. 3-7, 2022 | 6 | 2022 |
| An energy-efficient in-memory computing architecture for survival data analysis based on resistive switching memories A Baroni, A Glukhov, E Pérez, C Wenger, E Calore, SF Schifano, P Olivo, ... Frontiers in Neuroscience 16, 932270, 2022 | 5 | 2022 |
| Status and challenges of in-memory computing for neural accelerators D Ielmini, N Lepri, P Mannocci, A Glukhov 2022 International Symposium on VLSI Technology, Systems and Applications …, 2022 | 4 | 2022 |
| Process-voltage-temperature variations assessment in energy-aware resistive RAM-based FPGAs T Rizzi, A Baroni, A Glukhov, D Bertozzi, C Wenger, D Ielmini, C Zambelli IEEE Transactions on Device and Materials Reliability 23 (3), 328-336, 2023 | 2 | 2023 |
| Exploring Process-Voltage-Temperature Variations Impact on 4T1R Multiplexers for Energy-aware Resistive RAM-based FPGAs T Rizzi, A Baroni, A Glukhov, D Bertozzi, C Wenger, D Ielmini, C Zambelli 2022 IEEE International Integrated Reliability Workshop (IIRW), 1-5, 2022 | 1 | 2022 |
| End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays A Glukhov, N Lepri, V Milo, A Baroni, C Zambelli, P Olivo, E Pérez, ... 2022 IFIP/IEEE 30th International Conference on Very Large Scale Integration …, 2022 | 1 | 2022 |
| Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators L Pistolesi, A Glukhov, A de Gracia Herranz, M Lopez-Vallejo, M Carissimi, ... 2024 IEEE International Reliability Physics Symposium (IRPS), 1-4, 2024 | | 2024 |
| Compact Modeling and Mitigation of Parasitics in Crosspoint Accelerators of Neural Networks N Lepri, A Glukhov, P Mannocci, M Porzani, D Ielmini IEEE Transactions on Electron Devices, 2024 | | 2024 |
| Compact modeling of resistive switching memory (RRAM) with voltage and temperature dependences A Glukhov, D Bridarolli, S Ricci, R Li, S Shreya, H Farkhani, F Moradi, ... 2023 IEEE Nanotechnology Materials and Devices Conference (NMDC), 793-797, 2023 | | 2023 |
| RECENT PROGRESSES OF IN-MEMORY COMPUTING: MATERIALS, DEVICES AND ARCHITECTURES D Ielmini, F Sancandi, M Farronato, S Hashemkhani, S Ricci, M Baldo, ... BOOK OF ABSTRACTS, 23, 0 | | |
