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Giacomo Pedretti
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2020 – today
- 2024
- [j9]Archit Gajjar, Priyank Kashyap, Aydin Aysu, Paul Franzon, Yongjin Choi, Chris Cheng, Giacomo Pedretti, Jim Ignowski:
RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. ACM Trans. Reconfigurable Technol. Syst. 17(4): 56:1-56:33 (2024) - [c16]Luca Buonanno, Giacomo Pedretti, Lei Zhao, Aishwarya Natarajan, Todd Richmond, John Moon, Rand Jean, Xia Sheng, Ron M. Roth, Jim Ignowski:
Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. ISCAS 2024: 1-5 - [c15]Ron M. Roth, Giacomo Pedretti:
On-Access Error Correction in Certain Types of Content-Addressable Memories. ISIT 2024: 1161-1166 - [c14]Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, Dmitri B. Strukov:
HO-FPIA: High-Order Field-Programmable Ising Arrays with In-Memory Computing. ISVLSI 2024: 252-259 - [i10]Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov:
Computing High-Degree Polynomial Gradients in Memory. CoRR abs/2401.16204 (2024) - [i9]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) - [i8]Xiangyi Zhang, Ignacio Rozada, Fabian Böhm, Elisabetta Valiante, Moslem Noori, Thomas Van Vaerenbergh, Chan-Woo Yang, Giacomo Pedretti, Masoud Mohseni, Raymond G. Beausoleil:
Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem. CoRR abs/2409.09152 (2024) - 2023
- [c13]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 - [c12]Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski:
Design Space Exploration of Analog CAM for Tree-Based Models. MWSCAS 2023: 93-97 - [i7]Giacomo Pedretti, John Moon, Pedro Bruel, Sergey Serebryakov, Ron M. Roth, Luca Buonanno, Tobias Ziegler, Cong Xu, Martin Foltin, Paolo Faraboschi, Jim Ignowski, Catherine E. Graves:
X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR abs/2304.01285 (2023) - [i6]Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti:
RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR abs/2312.06532 (2023) - 2022
- [c11]Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves:
A general tree-based machine learning accelerator with memristive analog CAM. ISCAS 2022: 220-224 - 2021
- [j8]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) - [j7]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) - [c10]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]Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan:
Tree-based machine learning performed in-memory with memristive analog CAM. CoRR abs/2103.08986 (2021) - 2020
- [b1]Giacomo Pedretti:
In-memory computing with memristive devices. Polytechnic University of Milan, Italy, 2020 - [j6]Daniele Ielmini, Giacomo Pedretti:
Device and Circuit Architectures for In-Memory Computing. Adv. Intell. Syst. 2(7): 2000040 (2020) - [j5]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) - [j4]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) - [j3]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) - [c9]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 - [c8]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 - [c7]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 - [c6]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
- [c5]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 - [c4]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 - [c3]Zhong Sun, Giacomo Pedretti, Daniele Ielmini:
Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM). ICRC 2019: 120-124 - [c2]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 - [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
- [j2]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) - [j1]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) - [c1]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
Coauthor Index
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last updated on 2024-12-09 23:08 CET by the dblp team
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