Giacomo Pedretti

According to our database, Giacomo Pedretti authored at least 28 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Computing High-Degree Polynomial Gradients in Memory.

Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov

CoRR, 2024

2023

RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration.

Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti

CoRR, 2023

X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs.

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

CoRR, 2023

Design Space Exploration of Analog CAM for Tree-Based Models.

Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski

Proceedings of the 66th IEEE International Midwest Symposium on Circuits and Systems, 2023

Accelerating massive MIMO in 6G communications by analog in-memory computing circuits.

Piergiulio Mannocci, Enrico Melacarne, Giacomo Pedretti, Corrado Villa, Flavio Sancandi, Umberto Spagnolini, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

2022

A general tree-based machine learning accelerator with memristive analog CAM.

Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

2021

A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors.

Piergiulio Mannocci, Giacomo Pedretti, Elisabetta Giannone, Enrico Melacarne, Zhong Sun, Daniele Ielmini

IEEE Trans. Circuits Syst. I Regul. Pap., 2021

Tree-based machine learning performed in-memory with memristive analog CAM.

Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan

CoRR, 2021

Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories.

Wei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini

Adv. Intell. Syst., 2021

Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM).

Giacomo Pedretti, Elia Ambrosi, Daniele Ielmini

Proceedings of the IEEE International Reliability Physics Symposium, 2021

2020

In-memory computing with memristive devices.

Giacomo Pedretti

PhD thesis, 2020

Time complexity of in-memory solution of linear systems.

Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini

CoRR, 2020

One-step regression and classification with crosspoint resistive memory arrays.

Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini

CoRR, 2020

In-Memory Eigenvector Computation in Time O (1).

Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini

Adv. Intell. Syst., 2020

Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks.

Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi

Adv. Intell. Syst., 2020

Device and Circuit Architectures for In-Memory Computing.

Daniele Ielmini, Giacomo Pedretti

Adv. Intell. Syst., 2020

A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making.

Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning.

I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks.

Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices.

Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini

Proceedings of the 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2020

2019

Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits.

Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi

CoRR, 2019

Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses.

Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, Octavian Melnic, Stefano Ambrogio, Daniele Ielmini

Proceedings of the 2019 Symposium on VLSI Circuits, Kyoto, Japan, June 9-14, 2019, 2019

Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM).

Zhong Sun, Giacomo Pedretti, Daniele Ielmini

Proceedings of the 2019 IEEE International Conference on Rebooting Computing, 2019

A Volatile RRAM Synapse for Neuromorphic Computing.

Erika Covi, Daniele Ielmini, Y.-H. Lin, Wei Wang, Tommaso Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng

Proceedings of the 26th IEEE International Conference on Electronics, Circuits and Systems, 2019

In-memory solution of linear systems with crosspoint arrays without iterations.

Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Wei Wang, Daniele Ielmini

Proceedings of the Device Research Conference, 2019

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

IEEE Trans. Very Large Scale Integr. Syst., 2018

Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses.

Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini

IEEE J. Emerg. Sel. Topics Circuits Syst., 2018

Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks.

Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018