Daniele Ielmini - researchr alias

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2024

2023

Enhancing reliability of a strong physical unclonable function (PUF) solution based on virgin-state phase change memory (PCM)L. Cattaneo, Matteo Baldo, Nicola Lepri, F. Sancandi, Massimo Borghi, Elisa Petroni, A. Serafini, R. Annunziata, Andrea Redaelli, Daniele Ielmini. irps 2023: 1-6 [doi]

NimbleAI: Towards Neuromorphic Sensing-Processing 3D-integrated ChipsXabier Iturbe, Nassim Abderrahmane, Jaume Abella 0001, 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. date 2023: 1-6 [doi]

Unveiling Retention Physical Mechanism of Ge-rich GST ePCM TechnologyLuca Laurin, Matteo Baldo, Elisa Petroni, Giulia Samanni, L. Turconi, A. Motta, Massimo Borghi, A. Serafini, D. Codegoni, M. Scuderi, S. Ran, A. Claverie, Daniele Ielmini, R. Annunziata, Andrea Redaelli. irps 2023: 1-7 [doi]

In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regimeNicola Lepri, P. Gibertini, Piergiulio Mannocci, A. Pirovano, I. Tortorelli, Paolo Fantini, Daniele Ielmini. imw2 2023: 1-4 [doi]

Thermal-Induced Multi-State Memristors for Neuromorphic EngineeringRen Li, Sonal Shreya, Saverio Ricci, Davide Bridarolli, Daniele Ielmini, Hooman Farkhani, Farshad Moradi. iscas 2023: 1-5 [doi]

Accelerating massive MIMO in 6G communications by analog in-memory computing circuitsPiergiulio Mannocci, Enrico Melacarne, Giacomo Pedretti, Corrado Villa, Flavio Sancandi, Umberto Spagnolini, Daniele Ielmini. iscas 2023: 1-5 [doi]

Closed-Loop In-Memory Computing for Energy-Efficient Matrix EigendecompositionPiergiulio Mannocci, Elisabetta Giannone, Daniele Ielmini. metroxraine 2023: 1-6 [doi]

Tunable synaptic working memory with volatile memristive devicesSaverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi. neuromorphic, 3(4):44004, December 2023. [doi]

2022

A Hybrid Memristor/CMOS SNN for Implementing One-Shot Winner-Takes-All TrainingJavad Ahmadi-Farsani, Saverio Ricci, Shahin Hashemkhani, Daniele Ielmini, Bernabé Linares-Barranco, Teresa Serrano-Gotarredona. iscas 2022: 210-214 [doi]

Interaction between forming pulse and integration process flow in ePCMMatteo Baldo, Elisa Petroni, Luca Laurin, Giulia Samanni, Octavian Melinc, Daniele Ielmini, Andrea Redaelli. prime 2022: 145-148 [doi]

Characterization of reset state through energy activation study in Ge-GST based ePCMMatteo Baldo, Lorenzo Turconi, Alessandro Motta, Elisa Petroni, Luca Laurin, Daniele Ielmini, Andrea Redaelli. essderc 2022: 229-232 [doi]

Modeling Environment for Ge-rich GST Phase Change Memory CellsMatteo Baldo, L. Laurin, Elisa Petroni, Giulia Samanni, M. Allegra, Enrico Gomiero, Daniele Ielmini, Andrea Redaelli. imw2 2022: 1-4 [doi]

2-based resistive switching memory devices for neuromorphic computingStefano Brivio, Sabina Spiga, Daniele Ielmini. neuromorphic, 2(4):42001, December 2022. [doi]

2022 roadmap on neuromorphic computing and engineeringDennis 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 0001, 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. neuromorphic, 2(2):22501, 2022. [doi]

2 transistors for online training and inferenceMatteo Farronato, Margherita Melegari, Saverio Ricci, Shahin Hashemkani, Christian Monzio Compagnoni, Daniele Ielmini. aicas 2022: 1-4 [doi]

End-to-end modeling of variability-aware neural networks based on resistive-switching memory arraysArtem Glukhov, Nicola Lepri, Valerio Milo, Andrea Baroni, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini. vlsi 2022: 1-5 [doi]

Statistical model of program/verify algorithms in resistive-switching memories for in-memory neural network acceleratorsArtem Glukhov, Valerio Milo, Andrea Baroni, Nicola Lepri, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini. irps 2022: 3 [doi]

Mitigating read-program variation and IR drop by circuit architecture in RRAM-based neural network acceleratorsNicola Lepri, Artem Glukhov, Daniele Ielmini. irps 2022: 3 [doi]

An Analogue In-Memory Ridge Regression Circuit With Application to Massive MIMO AccelerationPiergiulio Mannocci, Enrico Melacarne, Daniele Ielmini. esticas, 12(4):952-962, 2022. [doi]

Experimental verification and benchmark of in-memory principal component analysis by crosspoint arrays of resistive switching memoryPiergiulio Mannocci, Andrea Baroni, Enrico Melacarne, Cristian Zambelli, Piero Olivo, Eduardo Pérez, Christian Wenger, Daniele Ielmini. iscas 2022: 326-330 [doi]

2-based RRAM for parameter extraction and neuromorphic engineeringAlessandro Milozzi, Daniel Reiser, Andreas Drost, Thomas Neuner, Marc Tornow, Daniele Ielmini. esscirc 2022: 133-136 [doi]

Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine LearningSaverio Ricci, Piergiulio Mannocci, Matteo Farronato, S. Hashemkhani, Daniele Ielmini. aisy, 4(8), 2022. [doi]

Decision Making by a Neuromorphic Network of Volatile Resistive Switching MemoriesSaverio Ricci, David Kappel, Christian Tetzlaff, Daniele Ielmini, Erika Covi. icecsys 2022: 1-4 [doi]

Invited Tutorial: Analog Matrix Computing With Crosspoint Resistive Memory ArraysZhong Sun, Daniele Ielmini. tcasII, 69(7):3024-3029, 2022. [doi]

2021

Modeling of oxide-based ECRAM programming by drift-diffusion ion transportMatteo Baldo, Daniele Ielmini. imw2 2021: 1-4 [doi]

A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using MemristorsPiergiulio Mannocci, Giacomo Pedretti, Elisabetta Giannone, Enrico Melacarne, Zhong Sun, Daniele Ielmini. tcasI, 68(12):4889-4899, 2021. [doi]

Optimized programming algorithms for multilevel RRAM in hardware neural networksValerio Milo, Francesco Anzalone, Cristian Zambelli, Eduardo Pérez, Mamathamba Kalishettyhalli Mahadevaiah, Oscar Gonzalez Ossorio, Piero Olivo, Christian Wenger, Daniele Ielmini. irps 2021: 1-6 [doi]

Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM)Giacomo Pedretti, Elia Ambrosi, Daniele Ielmini. irps 2021: 1-8 [doi]

Optimization Schemes for In-Memory Linear Regression Circuit With Memristor ArraysShiqing Wang, Zhong Sun, Yuheng Liu, Shengyu Bao, YiMao Cai, Daniele Ielmini, Ru Huang. tcasI, 68(12):4900-4909, 2021. [doi]

Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching MemoriesWei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini. aisy, 3(4):2000224, 2021. [doi]

2020

A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning TasksS. Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini. iscas 2020: 1-5 [doi]

Device and Circuit Architectures for In-Memory ComputingDaniele Ielmini, Giacomo Pedretti. aisy, 2(7):2000040, 2020. [doi]

Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire NetworksGianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi. aisy, 2(8):2000096, 2020. [doi]

Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised LearningI. Muñoz-Martín, S. Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini. iscas 2020: 1-5 [doi]

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision MakingGiacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, O. Melnic, Elisabetta Chicca, Daniele Ielmini. iscas 2020: 1-5 [doi]

In-Memory Eigenvector Computation in Time O (1)Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini. aisy, 2(8):2000042, 2020. [doi]

In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devicesZhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini. aicas 2020: 26-30 [doi]

2019

Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapsesS. Bianchi, I. Muñoz-Martin, Giacomo Pedretti, O. Melnic, Stefano Ambrogio, Daniele Ielmini. vlsic 2019: 1-2 [doi]

A compact model of stochastic switching in STT magnetic RAM for memory and computingRoberto Carboni, E. Vernocchi, M. Siddik, J. Harms, A. Lyle, G. Sandhu, Daniele Ielmini. NANOARCH 2019: 1-6 [doi]

A Volatile RRAM Synapse for Neuromorphic ComputingE. Covi, Daniele Ielmini, Y.-H. Lin, W. Wang, T. Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, T. Y. Tseng. icecsys 2019: 903-906 [doi]

Brain-Inspired Memristive Neural Networks for Unsupervised LearningDaniele Ielmini, Valerio Milo. In Leon O. Chua, Georgios Ch. Sirakoulis, Andrew Adamatzky, editors, Handbook of Memristor Networks. pages 495-525, Springer, 2019. [doi]

Low-energy inference machine with multilevel HfO2 RRAM arraysValerio Milo, Cristian Zambelli, Piero Olivo, Eduardo Pérez, O. G. Ossorio, Christian Wenger, Daniele Ielmini. essderc 2019: 174-177 [doi]

Joule Heating in SiOx RRAM Device Studied by an Integrated Micro-Thermal StageN. Polino, Mario Laudato, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini. essderc 2019: 126-129 [doi]

In-memory solution of linear systems with crosspoint arrays without iterationsZ. Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, W. Wang, Daniele Ielmini. drc 2019: 215-216 [doi]

Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM)Zhong Sun, Giacomo Pedretti, Daniele Ielmini. icrc 2019: 120-124 [doi]

2018

A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini. tvlsi, 26(12):2806-2815, 2018. [doi]

Brain-inspired recurrent neural network with plastic RRAM synapsesValerio Milo, Elisabetta Chicca, Daniele Ielmini. iscas 2018: 1-5 [doi]

Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networksValerio Milo, Giacomo Pedretti, M. Laudato, A. Bricalli, E. Ambrosi, S. Bianchi, Elisabetta Chicca, Daniele Ielmini. iscas 2018: 1-5 [doi]

Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM SynapsesGiacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini. esticas, 8(1):77-85, 2018. [doi]

2016

Bipolar-switching operated phase change memory (PCM) for improved high-temperature reliabilityNicola Ciocchini, M. Laudato, Andrea L. Lacaita, Daniele Ielmini, M. Boniardi, E. Varesi, Paolo Fantini. essderc 2016: 377-380 [doi]

Neuromorphic computing with hybrid memristive/CMOS synapses for real-time learningDaniele Ielmini, Stefano Ambrogio, V. Milo, Simone Balatti, Zhongqiang Wang. iscas 2016: 1386-1389 [doi]

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