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2020 – today
- 2024
[j19]Yang Li
, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu:
Binary-Stochasticity-Enabled Highly Efficient Neuromorphic Deep Learning Achieves Better-than-Software Accuracy. Adv. Intell. Syst. 6(1) (2024)- [j18]Piergiulio Mannocci, Elisabetta Giannone, Daniele Ielmini:
In-Memory Principal Component Analysis by Analogue Closed-Loop Eigendecomposition. IEEE Trans. Circuits Syst. II Express Briefs 71(4): 1839-1843 (2024) - [c44]Stefania Perri, Cristian Zambelli, Daniele Ielmini, Cristina Silvano:
Digital In-Memory Computing to Accelerate Deep Learning Inference on the Edge. IPDPS (Workshops) 2024: 130-133 - [c43]L. Pistolesi, Artem Glukhov, Amadeo de Gracia Herranz, M. Lopez-Vallejo, Marcella Carissimi, Marco Pasotti, Pier Luigi Rolandi, Andrea Redaelli, I. Muñoz-Martín, S. Bianchi, Andrea Bonfanti, Daniele Ielmini:
Drift Compensation in Multilevel PCM for in-Memory Computing Accelerators. IRPS 2024: 1-4 - [i12]Adnan Mehonic, Daniele Ielmini, Kaushik Roy, Onur Mutlu, Shahar Kvatinsky, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco, Sabina Spiga, Sergey Savelev, Alexander G. Balanov, Nitin Chawla, Giuseppe Desoli, Gerardo Malavena, Christian Monzio Compagnoni, Zhongrui Wang, J. Joshua Yang, Syed Ghazi Sarwat, Abu Sebastian, Thomas Mikolajick, Beatriz Noheda, Stefan Slesazeck, Bernard Dieny, Tuo-Hung Hou, Akhil Varri, Frank Brückerhoff-Plückelmann, Wolfram H. P. Pernice, Xixiang Zhang, Sebastian Pazos, Mario Lanza, Stefan Wiefels, Regina Dittmann, Wing H. Ng, Mark Buckwell, Horatio Cox, Daniel J. Mannion, Anthony J. Kenyon, Yingming Lu, Yuchao Yang, Damien Querlioz, Louis Hutin, Elisa Vianello, Sayeed Shafayet Chowdhury, Piergiulio Mannocci, Yimao Cai, Zhong Sun, Giacomo Pedretti, John Paul Strachan, Dmitri B. Strukov, Manuel Le Gallo, Stefano Ambrogio, Ilia Valov, Rainer Waser:
Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR abs/2407.02353 (2024) - 2023
- [j17]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Tunable synaptic working memory with volatile memristive devices. Neuromorph. Comput. Eng. 3(4): 44004 (2023) - [c42]Xabier Iturbe, Nassim Abderrahmane, Jaume Abella, Sergi Alcaide, Eric Beyne, Henri-Pierre Charles, Christelle Charpin-Nicolle, Lars Chittka, Angélica Dávila, Arne Erdmann, Carles Estrada, Ander Fernández, Anna Fontanelli, José Flich, Gianluca Furano, Alejandro Hernán Gloriani, Erik Isusquiza, Radu Grosu, Carles Hernández, Daniele Ielmini, David Jackson, Maha Kooli, Nicola Lepri, Bernabé Linares-Barranco, Jean-Loup Lachese, Eric Laurent, Menno Lindwer, Frank Linsenmaier, Mikel Luján, Karel Masarík, Nele Mentens, Orlando Moreira, Chinmay Nawghane, Luca Peres, Jean-Philippe Noel, Arash Pourtaherian, Christoph Posch, Peter Priller, Zdenek Prikryl, Felix Resch, Oliver Rhodes, Todor P. Stefanov, Moritz Storring, Michele Taliercio, Rafael Tornero, Marcel D. van de Burgwal, Geert Van der Plas, Elisa Vianello, Pavel Zaykov:
NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated Chips. DATE 2023: 1-6 - [c41]Nicola Lepri, P. Gibertini, Piergiulio Mannocci, A. Pirovano, I. Tortorelli, Paolo Fantini, Daniele Ielmini:
In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime. IMW 2023: 1-4 - [c40]L. Cattaneo, Matteo Baldo, Nicola Lepri, Flavio Sancandi, Massimo Borghi, Elisa Petroni, A. Serafini, Roberto Annunziata, Andrea Redaelli, Daniele Ielmini:
Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM). IRPS 2023: 1-6 - [c39]Luca Laurin, Matteo Baldo, Elisa Petroni, Giulia Samanni, Lorenzo Turconi, A. Motta, Massimo Borghi, A. Serafini, D. Codegoni, M. Scuderi, S. Ran, A. Claverie, Daniele Ielmini, Roberto Annunziata, Andrea Redaelli:
Unveiling Retention Physical Mechanism of Ge-rich GST ePCM Technology. IRPS 2023: 1-7 - [c38]Ren Li, Sonal Shreya, Saverio Ricci, Davide Bridarolli, Daniele Ielmini, Hooman Farkhani, Farshad Moradi:
Thermal-Induced Multi-State Memristors for Neuromorphic Engineering. ISCAS 2023: 1-5 - [c37]Piergiulio Mannocci, Enrico Melacarne, Giacomo Pedretti, Corrado Villa, Flavio Sancandi, Umberto Spagnolini, Daniele Ielmini:
Accelerating massive MIMO in 6G communications by analog in-memory computing circuits. ISCAS 2023: 1-5 - [c36]Piergiulio Mannocci, Elisabetta Giannone, Daniele Ielmini:
Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition. MetroXRAINE 2023: 1-6 - [i11]Yang Li, Wei Wang, Ming Wang, Chunmeng Dou, Zhengyu Ma, Huihui Zhou, Peng Zhang, Nicola Lepri, Xumeng Zhang, Qing Luo, Xiaoxin Xu, Guanhua Yang, Feng Zhang, Ling Li, Daniele Ielmini, Ming Liu:
Binary stochasticity enabled highly efficient neuromorphic deep learning achieves better-than-software accuracy. CoRR abs/2304.12866 (2023) - [i10]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Tunable Synaptic Working Memory with Volatile Memristive Devices. CoRR abs/2306.14691 (2023) - [i9]Cristina Silvano, Daniele Ielmini, Fabrizio Ferrandi, Leandro Fiorin, Serena Curzel, Luca Benini, Francesco Conti, Angelo Garofalo, Cristian Zambelli, Enrico Calore, Sebastiano Fabio Schifano, Maurizio Palesi, Giuseppe Ascia, Davide Patti, Stefania Perri, Nicola Petra, Davide De Caro, Luciano Lavagno, Teodoro Urso, Valeria Cardellini, Gian Carlo Cardarilli, Robert Birke:
A Survey on Deep Learning Hardware Accelerators for Heterogeneous HPC Platforms. CoRR abs/2306.15552 (2023) - [i8]Fabrizio Ferrandi, Serena Curzel, Leandro Fiorin, Daniele Ielmini, Cristina Silvano, Francesco Conti, Alessio Burrello, Francesco Barchi, Luca Benini, Luciano Lavagno, Teodoro Urso, Enrico Calore, Sebastiano Fabio Schifano, Cristian Zambelli, Maurizio Palesi, Giuseppe Ascia, Enrico Russo, Nicola Petra, Davide De Caro, Gennaro Di Meo, Valeria Cardellini, Salvatore Filippone, Francesco Lo Presti, Francesco Silvestri, Paolo Palazzari, Stefania Perri:
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures. CoRR abs/2311.17815 (2023) - 2022
- [j16]Saverio Ricci, Piergiulio Mannocci, Matteo Farronato, S. Hashemkhani, Daniele Ielmini:
Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine Learning. Adv. Intell. Syst. 4(8) (2022) - [j15]Piergiulio Mannocci, Enrico Melacarne, Daniele Ielmini:
An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO Acceleration. IEEE J. Emerg. Sel. Topics Circuits Syst. 12(4): 952-962 (2022) - [j14]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Steve B. Furber, Emre Neftci, Franz Scherr, Wolfgang Maass, Srikanth Ramaswamy, Jonathan Tapson, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Gabriella Panuccio, Mufti Mahmud, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2022 roadmap on neuromorphic computing and engineering. Neuromorph. Comput. Eng. 2(2): 22501 (2022) - [j13]Stefano Brivio, Sabina Spiga, Daniele Ielmini:
HfO2-based resistive switching memory devices for neuromorphic computing. Neuromorph. Comput. Eng. 2(4): 42001 (2022) - [j12]Zhong Sun, Daniele Ielmini:
Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory Arrays. IEEE Trans. Circuits Syst. II Express Briefs 69(7): 3024-3029 (2022) - [c35]Matteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkhani, Christian Monzio Compagnoni, Daniele Ielmini:
Low-current, highly linear synaptic memory device based on MoS2 transistors for online training and inference. AICAS 2022: 1-4 - [c34]Alessandro Milozzi, Daniel Reiser, Andreas Drost, Thomas Neuner, Marc Tornow, Daniele Ielmini:
Thermal switching of TiO2-based RRAM for parameter extraction and neuromorphic engineering. ESSCIRC 2022: 133-136 - [c33]Matteo Baldo, Lorenzo Turconi, Alessandro Motta, Elisa Petroni, Luca Laurin, Daniele Ielmini, Andrea Redaelli:
Characterization of reset state through energy activation study in Ge-GST based ePCM. ESSDERC 2022: 229-232 - [c32]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. ICECS 2022 2022: 1-4 - [c31]Matteo Baldo, Luca Laurin, Elisa Petroni, Giulia Samanni, M. Allegra, Enrico Gomiero, Daniele Ielmini, Andrea Redaelli:
Modeling Environment for Ge-rich GST Phase Change Memory Cells. IMW 2022: 1-4 - [c30]Artem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network accelerators. IRPS 2022: 3 - [c29]Nicola Lepri, Artem Glukhov, Daniele Ielmini:
Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network accelerators. IRPS 2022: 3 - [c28]Javad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, Daniele Ielmini, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona:
A Hybrid Memristor/CMOS SNN for Implementing One-Shot Winner-Takes-All Training. ISCAS 2022: 210-214 - [c27]Piergiulio Mannocci, Andrea Baroni, Enrico Melacarne, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
Experimental verification and benchmark of in-memory principal component analysis by crosspoint arrays of resistive switching memory. ISCAS 2022: 326-330 - [c26]Matteo Baldo, Elisa Petroni, Luca Laurin, Giulia Samanni, Octavian Melinc, Daniele Ielmini, Andrea Redaelli:
Interaction between forming pulse and integration process flow in ePCM. PRIME 2022: 145-148 - [c25]Artem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini:
End-to-end modeling of variability-aware neural networks based on resistive-switching memory arrays. VLSI-SoC 2022: 1-5 - [i7]Zhong Sun, Daniele Ielmini:
Tutorial: Analog Matrix Computing (AMC) with Crosspoint Resistive Memory Arrays. CoRR abs/2205.05853 (2022) - [i6]Saverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi:
Decision Making by a Neuromorphic Network of Volatile Resistive Switching Memories. CoRR abs/2211.03081 (2022) - 2021
- [j11]Wei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini:
Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories. Adv. Intell. Syst. 3(4): 2000224 (2021) - [j10]Piergiulio Mannocci, Giacomo Pedretti, Elisabetta Giannone, Enrico Melacarne, Zhong Sun, Daniele Ielmini:
A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4889-4899 (2021) - [j9]Shiqing Wang, Zhong Sun, Yuheng Liu, Shengyu Bao, Yimao Cai, Daniele Ielmini, Ru Huang:
Optimization Schemes for In-Memory Linear Regression Circuit With Memristor Arrays. IEEE Trans. Circuits Syst. I Regul. Pap. 68(12): 4900-4909 (2021) - [c24]Andrea Redaelli, Anna Gandolfo, Giulia Samanni, Enrico Gomiero, Elisa Petroni, Luca Scotti, Andrea Lippiello, Paolo Mattavelli, J. Jasse, D. Codegoni, A. Serafini, Rossella Ranica, Christian Boccaccio, Jury Sandrini, R. Berthelon, J. C. Grenier, Olivier Weber, David Turgis, A. Valery, S. Del Medico, V. Caubet, J. P. Reynard, Didier Dutartre, L. Favennec, Antonino Conte, Fabio Disegni, M. De Tomasi, A. Ventre, Matteo Baldo, Daniele Ielmini, Alfonso Maurelli, P. Ferreira, Franck Arnaud, F. Piazza, Paolo Cappelletti, Roberto Annunziata, R. Gonella:
Improving Ge-rich GST ePCM reliability through BEOL engineering. ESSDERC 2021: 231-234 - [c23]Matteo Baldo, Daniele Ielmini:
Modeling of oxide-based ECRAM programming by drift-diffusion ion transport. IMW 2021: 1-4 - [c22]Valerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini:
Optimized programming algorithms for multilevel RRAM in hardware neural networks. IRPS 2021: 1-6 - [c21]Giacomo Pedretti, Elia Ambrosi, Daniele Ielmini:
Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM). IRPS 2021: 1-8 - [i5]Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco, Abu Sebastian, Manuel Le Gallo, Andrea Redaelli, Stefan Slesazeck, Thomas Mikolajick, Sabina Spiga, Stephan Menzel, Ilia Valov, Gianluca Milano, Carlo Ricciardi, Shi-Jun Liang, Feng Miao, Mario Lanza, Tyler J. Quill, Scott T. Keene, Alberto Salleo, Julie Grollier, Danijela Markovic, Alice Mizrahi, Peng Yao, J. Joshua Yang, Giacomo Indiveri, John Paul Strachan, Suman Datta, Elisa Vianello, Alexandre Valentian, Johannes Feldmann, Xuan Li, Wolfram H. P. Pernice, Harish Bhaskaran, Emre Neftci, Srikanth Ramaswamy, Jonathan Tapson, Franz Scherr, Wolfgang Maass, Priyadarshini Panda, Youngeun Kim, Gouhei Tanaka, Simon Thorpe, Chiara Bartolozzi, Thomas A. Cleland, Christoph Posch, Shih-Chii Liu, Arnab Neelim Mazumder, Morteza Hosseini, Tinoosh Mohsenin, Elisa Donati, Silvia Tolu, Roberto Galeazzi, Martin Ejsing Christensen, Sune Holm, Daniele Ielmini, N. Pryds:
2021 Roadmap on Neuromorphic Computing and Engineering. CoRR abs/2105.05956 (2021) - 2020
- [j8]Daniele Ielmini, Giacomo Pedretti:
Device and Circuit Architectures for In-Memory Computing. Adv. Intell. Syst. 2(7): 2000040 (2020) - [j7]Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
In-Memory Eigenvector Computation in Time O (1). Adv. Intell. Syst. 2(8): 2000042 (2020) - [j6]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2(8): 2000096 (2020) - [j5]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. 2(8): 2080071 (2020) - [c20]Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices. AICAS 2020: 26-30 - [c19]Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini:
A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. ISCAS 2020: 1-5 - [c18]I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini:
Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning. ISCAS 2020: 1-5 - [c17]Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini:
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. ISCAS 2020: 1-5 - [i4]Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini:
One-step regression and classification with crosspoint resistive memory arrays. CoRR abs/2005.01988 (2020) - [i3]Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
Time complexity of in-memory solution of linear systems. CoRR abs/2005.04530 (2020) - [i2]Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
In-memory eigenvector computation in time O(1). CoRR abs/2005.04531 (2020)
2010 – 2019
- 2019
- [c16]Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Wei Wang, Daniele Ielmini:
In-memory solution of linear systems with crosspoint arrays without iterations. DRC 2019: 215-216 - [c15]Nicola Polino, Mario Laudato, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini:
Joule Heating in SiOx RRAM Device Studied by an Integrated Micro-Thermal Stage. ESSDERC 2019: 126-129 - [c14]Valerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Oscar Gonzalez Ossorio, Christian Wenger, Daniele Ielmini:
Low-energy inference machine with multilevel HfO2 RRAM arrays. ESSDERC 2019: 174-177 - [c13]Erika Covi, Daniele Ielmini, Y.-H. Lin, Wei Wang, Tommaso Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng:
A Volatile RRAM Synapse for Neuromorphic Computing. ICECS 2019: 903-906 - [c12]Zhong Sun, Giacomo Pedretti, Daniele Ielmini:
Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM). ICRC 2019: 120-124 - [c11]Roberto Carboni, E. Vernocchi, M. Siddik, J. Harms, A. Lyle, G. Sandhu, Daniele Ielmini:
A compact model of stochastic switching in STT magnetic RAM for memory and computing. NANOARCH 2019: 1-6 - [c10]Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, Octavian Melnic, Stefano Ambrogio, Daniele Ielmini:
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. VLSI Circuits 2019: 1-2 - [p1]Daniele Ielmini, Valerio Milo:
Brain-Inspired Memristive Neural Networks for Unsupervised Learning. Handbook of Memristor Networks 2019: 495-525 - [i1]Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi:
Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. CoRR abs/1909.02438 (2019) - 2018
- [j4]Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini:
Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. 8(1): 77-85 (2018) - [j3]Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini:
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP). IEEE Trans. Very Large Scale Integr. Syst. 26(12): 2806-2815 (2018) - [c9]Valerio Milo, Elisabetta Chicca, Daniele Ielmini:
Brain-inspired recurrent neural network with plastic RRAM synapses. ISCAS 2018: 1-5 - [c8]Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini:
Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. ISCAS 2018: 1-5 - 2016
- [c7]Nicola Ciocchini, Mario Laudato, Andrea L. Lacaita, Daniele Ielmini, Mattia Boniardi, Enrico Varesi, Paolo Fantini:
Bipolar-switching operated phase change memory (PCM) for improved high-temperature reliability. ESSDERC 2016: 377-380 - [c6]Daniele Ielmini, Stefano Ambrogio, Valerio Milo, Simone Balatti, Zhongqiang Wang:
Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learning. ISCAS 2016: 1386-1389 - 2015
- [j2]Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Daniele Ielmini:
True Random Number Generation by Variability of Resistive Switching in Oxide-Based Devices. IEEE J. Emerg. Sel. Topics Circuits Syst. 5(2): 214-221 (2015) - [c5]Simone Balatti, Stefano Ambrogio, Zhongqiang Wang, Scott Sills, Alessandro Calderoni, Nirmal Ramaswamy, Daniele Ielmini:
Understanding pulsed-cycling variability and endurance in HfOx RRAM. IRPS 2015: 5 - [c4]Stefano Ambrogio, Simone Balatti, Zhongqiang Wang, Yu-Sheng Chen, Heng-Yuan Lee, Frederick T. Chen, Daniele Ielmini:
Data retention statistics and modelling in HfO2 resistive switching memories. IRPS 2015: 7 - 2014
- [c3]Maurizio Rizzi, Nicola Ciocchini, Daniele Ielmini, Andrea Ghetti, Paolo Fantini:
Set/reset statistics and kinetics in phase change memory arrays. ESSDERC 2014: 234-237 - [c2]Stefano Ambrogio, Simone Balatti, Daniele Ielmini, David C. Gilmer:
Analytical modelling and leakage optimization in complementary resistive switch (CRS) crossbar arrays. ESSDERC 2014: 242-245 - [c1]Stefano Ambrogio, Simone Balatti, Antonio Cubeta, Daniele Ielmini:
Statistical modeling of program and read variability in resistive switching devices. ISCAS 2014: 2029-2032
2000 – 2009
- 2003
- [j1]G. Ghidini, A. Garavaglia, G. Giusto, Andrea Ghetti, R. Bottini, D. Peschiaroli, M. Scaravaggi, F. Cazzaniga, Daniele Ielmini:
Impact of gate stack process on conduction and reliability of 0.18 mum PMOSFET. Microelectron. Reliab. 43(8): 1221-1227 (2003)
Coauthor Index
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