Giacomo Pedretti

56 papers A* 1A 2B 1C 8Misc 1Journal 30Unranked 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Accelerating Hybrid XOR-CNF SAT Problems Natively with In-Memory Computing. CoRR Haesol Im, Fabian Böhm, Giacomo Pedretti, Noriyuki Kushida, Moslem Noori, Elisabetta Valiante, Xiangyi Zhang, Chan-Woo Yang, Tinish Bhattacharya, Xia Sheng, Jim Ignowski, Arne Heittmann, John Paul Strachan, Masoud Mohseni, Raymond G. Beausoleil, Thomas Van Vaerenbergh, Ignacio Rozada
2025	Misc	`conf`	Analog In-Memory Computing Enhanced FPGA for High-Throughput and Energy-Efficient Acceleration. FCCM Archit Gajjar, Lei Zhao, Omar Eldash, Aishwarya Natarajan, Xia Sheng, Giacomo Pedretti, Aman Arora, Paolo Faraboschi, Jim Ignowski, Luca Buonanno
2025	A*	`conf`	Boosting Task Scheduling Data Locality with Low-latency, HW-accelerated Label Propagation. MICRO Lucas Morais, Juan Miguel De Haro Ruiz, Alfredo Goldman, Guido Araujo, Giacomo Pedretti, Jim Ignowski, Michael Frank, Xavier Martorell, Daniel Jiménez-González, Carlos Álvarez
2025	—	`conf`	Controlling ReRAM's Switching Characteristics with Shadow Memory for Continual Learning. IMW Sai Sukruth Bezugam, Tinish Bhattacharya, Horst Petschenig, S. Choi, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, Robert Legenstein, Dmitri B. Strukov
2025	J	`jnl`	Editorial: Focus issue on open neuromorphic simulations. Neuromorph. Comput. Eng. Can Li, Jason K. Eshraghian, Giacomo Pedretti
2025	A	`conf`	Enhancing FPGAs with Analog In-Memory Computing Macros. FPGA Archit Gajjar, Lei Zhao, Omar Eldash, Aishwarya Natarajan, Rand Jean, Xia Sheng, Giacomo Pedretti, Paolo Faraboschi, Jim Ignowski, Luca Buonanno
2025	J	`jnl`	Fault-Free Analog Computing with Imperfect Hardware. CoRR Zhicheng Xu, Jiawei Liu, Sitao Huang, Zefan Li, Shengbo Wang, Bo Wen, Ruibin Mao, Mingrui Jiang, Giacomo Pedretti, Jim Ignowski, Kaibin Huang, Can Li
2025	J	`jnl`	Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory. CoRR Chengping He, Mingrui Jiang, Keyi Shan, Szu-Hao Yang, Zefan Li, Shengbo Wang, Giacomo Pedretti, Jim Ignowski, Can Li
2025	J	`jnl`	Hardware-Compatible Single-Shot Feasible-Space Heuristics for Solving the Quadratic Assignment Problem. CoRR Haesol Im, Chan-Woo Yang, Moslem Noori, Dmitrii Dobrynin, Elisabetta Valiante, Giacomo Pedretti, Arne Heittmann, Thomas Van Vaerenbergh, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Ignacio Rozada
2025	—	`conf`	Improved Memristor Control using Device Physics and Deep Reinforcement Learning. AICAS Ming-Jay Yang, Zhenming Yu, Giacomo Pedretti, Emre Neftci, John Paul Strachan
2025	—	`conf`	KLIMA: Low-latency mixed-signal In-Memory Computing accelerator for solving arbitrary-order Boolean Satisfiability. HCS Tinish Bhattacharya, Dongseok Kwon, George Higgins Hutchinson, Xiangyi Zhang, Giacomo Pedretti, Fabian Böhm, John Paul Strachan, Thomas Van Vaerenbergh, Ray Beausoleil, Ignacio Rozada, Dmitri B. Strukov
2025	J	`jnl`	NL-DPE: An Analog In-memory Non-Linear Dot Product Engine for Efficient CNN and LLM Inference. CoRR Lei Zhao, Luca Buonanno, Archit Gajjar, John Moon, Aishwarya Natarajan, Sergey Serebryakov, Ron M. Roth, Xia Sheng, Youtao Zhang, Paolo Faraboschi, Jim Ignowski, Giacomo Pedretti
2025	C	`conf`	RACE-IT: A Reconfigurable Analog Computing Engine for In-Memory Transformer Acceleration. ICCD Lei Zhao, Aishwarya Natarajan, Luca Buonanno, Archit Gajjar, Ron M. Roth, Sergey Serebryakov, John Moon, Omar Eldash, Jim Ignowski, Giacomo Pedretti
2025	J	`jnl`	Real-time raw signal genomic analysis using fully integrated memristor hardware. CoRR Peiyi He, Shengbo Wang, Ruibin Mao, Sebastian Siegel, Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li
2025	J	`jnl`	Real-time raw signal genomic analysis using fully integrated memristor hardware. Nat. Comput. Sci. Peiyi He, Shengbo Wang, Ruibin Mao, Mingrui Jiang, Sebastian Siegel, Giacomo Pedretti, Jim Ignowski, John Paul Strachan, Ruibang Luo, Can Li
2025	J	`jnl`	Solving Boolean satisfiability problems with resistive content addressable memories. CoRR Giacomo Pedretti, Fabian Böhm, Tinish Bhattacharya, Arne Heittmann, Xiangyi Zhang, Mohammad Hizzani, George Higgins Hutchinson, Dongseok Kwon, John Moon, Elisabetta Valiante, Ignacio Rozada, Catherine E. Graves, Jim Ignowski, Masoud Mohseni, John Paul Strachan, Dmitri B. Strukov, Raymond G. Beausoleil, Thomas Van Vaerenbergh
2024	—	`conf`	Acceleration of Graph Neural Networks with Heterogenous Accelerators Architecture. SC Workshops Kaiwen Cao, Archit Gajjar, Liad Gerstman, Kun Wu, Sai Rahul Chalamalasetti, Aditya Dhakal, Giacomo Pedretti, Pavana Prakash, Wen-Mei Hwu, Deming Chen, Dejan S. Milojicic
2024	A	`conf`	CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. ICCAD John Moon, Giacomo Pedretti, Pedro Bruel, Sergey Serebryakov, Omar Eldash, Luca Buonanno, Catherine E. Graves, Paolo Faraboschi, Jim Ignowski
2024	J	`jnl`	Computing High-Degree Polynomial Gradients in Memory. CoRR Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, X. Sheng, Jim Ignowski, Thomas Van Vaerenbergh, Raymond G. Beausoleil, John Paul Strachan, Dmitri B. Strukov
2024	J	`jnl`	Distributed Binary Optimization with In-Memory Computing: An Application for the SAT Problem. CoRR Xiangyi Zhang, Ignacio Rozada, Fabian Böhm, Elisabetta Valiante, Moslem Noori, Thomas Van Vaerenbergh, Chan-Woo Yang, Giacomo Pedretti, Masoud Mohseni, Raymond G. Beausoleil
2024	J	`jnl`	Efficient Nonlinear Function Approximation in Analog Resistive Crossbars for Recurrent Neural Networks. CoRR Junyi Yang, Ruibin Mao, Mingrui Jiang, Yichuan Cheng, Pao-Sheng Vincent Sun, Shuai Dong, Giacomo Pedretti, Xia Sheng, Jim Ignowski, Haoliang Li, Can Li, Arindam Basu
2024	—	`conf`	HO-FPIA: High-Order Field-Programmable Ising Arrays with In-Memory Computing. ISVLSI Tinish Bhattacharya, George Higgins Hutchinson, Giacomo Pedretti, Dmitri B. Strukov
2024	J	`jnl`	How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits. CoRR Masoud Mohseni, Artur Scherer, K. Grace Johnson, Oded Wertheim, Matthew Otten, Navid Anjum Aadit, Yuri Alexeev, Kirk M. Bresniker, Kerem Yunus Çamsari, Barbara M. Chapman, Soumitra Chatterjee, Gebremedhin A. Dagnew, Aniello Esposito, Farah Fahim, Marco Fiorentino, Archit Gajjar, Abdullah Khalid, Xiangzhou Kong, Bohdan Kulchytskyy, Elica Kyoseva, Ruoyu Li, Paul Aaron Lott, Igor L. Markov, Robert F. McDermott, Giacomo Pedretti, Pooja Rao, Eleanor Gilbert Rieffel, Allyson Silva, John Sorebo, Panagiotis Spentzouris, Ziv Steiner, Boyan Torosov, Davide Venturelli, Robert J. Visser, Zak Webb, Xin Zhan, Yonatan Cohen, Pooya Ronagh, Alan Ho, Raymond G. Beausoleil, John M. Martinis
2024	C	`conf`	Memristive Quaternary Content-Addressable Memories for Implementing Boolean Functions. ISCAS Luca Buonanno, Giacomo Pedretti, Lei Zhao, Aishwarya Natarajan, Todd Richmond, John Moon, Rand Jean, Xia Sheng, Ron M. Roth, Jim Ignowski
2024	B	`conf`	On-Access Error Correction in Certain Types of Content-Addressable Memories. ISIT Ron M. Roth, Giacomo Pedretti
2024	J	`jnl`	RD-FAXID: Ransomware Detection with FPGA-Accelerated XGBoost. ACM Trans. Reconfigurable Technol. Syst. Archit Gajjar, Priyank Kashyap, Aydin Aysu, Paul Franzon, Yongjin Choi, Chris Cheng, Giacomo Pedretti, Jim Ignowski
2024	J	`jnl`	Roadmap to Neuromorphic Computing with Emerging Technologies. CoRR 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
2023	C	`conf`	Accelerating massive MIMO in 6G communications by analog in-memory computing circuits. ISCAS Piergiulio Mannocci, Enrico Melacarne, Giacomo Pedretti, Corrado Villa, Flavio Sancandi, Umberto Spagnolini, Daniele Ielmini
2023	—	`conf`	Design Space Exploration of Analog CAM for Tree-Based Models. MWSCAS Aishwarya Natarajan, Luca Buonanno, Todd Richmond, David Vickers, Xia Sheng, John Moon, Darrin Miller, Giacomo Pedretti, Catherine Graves, Jim Ignowski
2023	J	`jnl`	RACE-IT: A Reconfigurable Analog CAM-Crossbar Engine for In-Memory Transformer Acceleration. CoRR Lei Zhao, Luca Buonanno, Ron M. Roth, Sergey Serebryakov, Archit Gajjar, John Moon, Jim Ignowski, Giacomo Pedretti
2023	J	`jnl`	X-TIME: An in-memory engine for accelerating machine learning on tabular data with CAMs. CoRR 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
2022	C	`conf`	A general tree-based machine learning accelerator with memristive analog CAM. ISCAS Giacomo Pedretti, Sergey Serebryakov, John Paul Strachan, Catherine E. Graves
2021	J	`jnl`	A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors. IEEE Trans. Circuits Syst. I Regul. Pap. Piergiulio Mannocci, Giacomo Pedretti, Elisabetta Giannone, Enrico Melacarne, Zhong Sun, Daniele Ielmini
2021	—	`conf`	Conductance variations and their impact on the precision of in-memory computing with resistive switching memory (RRAM). IRPS Giacomo Pedretti, Elia Ambrosi, Daniele Ielmini
2021	J	`jnl`	Neuromorphic Motion Detection and Orientation Selectivity by Volatile Resistive Switching Memories. Adv. Intell. Syst. Wei Wang, Erika Covi, Alessandro Milozzi, Matteo Farronato, Saverio Ricci, Caterina Sbandati, Giacomo Pedretti, Daniele Ielmini
2021	J	`jnl`	Tree-based machine learning performed in-memory with memristive analog CAM. CoRR Giacomo Pedretti, Catherine E. Graves, Can Li, Sergey Serebryakov, Xia Sheng, Martin Foltin, Ruibin Mao, John Paul Strachan
2020	C	`conf`	A Bio-Inspired Recurrent Neural Network with Self-Adaptive Neurons and PCM Synapses for Solving Reinforcement Learning Tasks. ISCAS Stefano Bianchi, I. Muñoz-Martín, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini
2020	C	`conf`	A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making. ISCAS Giacomo Pedretti, Valerio Milo, S. Hashemkhani, Piergiulio Mannocci, Octavian Melnic, Elisabetta Chicca, Daniele Ielmini
2020	J	`jnl`	Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
2020	J	`jnl`	Brain-Inspired Structural Plasticity through Reweighting and Rewiring in Multi-Terminal Self-Organizing Memristive Nanowire Networks. Adv. Intell. Syst. Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
2020	J	`jnl`	Device and Circuit Architectures for In-Memory Computing. Adv. Intell. Syst. Daniele Ielmini, Giacomo Pedretti
2020	C	`conf`	Hardware Implementation of PCM-Based Neurons with Self-Regulating Threshold for Homeostatic Scaling in Unsupervised Learning. ISCAS I. Muñoz-Martín, Stefano Bianchi, S. Hashemkhani, Giacomo Pedretti, Daniele Ielmini
2020	J	`jnl`	In-Memory Eigenvector Computation in Time O (1). Adv. Intell. Syst. Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
2020	—	`conf`	In-memory PageRank using a Crosspoint Array of Resistive Switching Memory (RRAM) devices. AICAS Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
2020	—	`—`	In-memory computing with memristive devices. Giacomo Pedretti
2020	J	`jnl`	In-memory eigenvector computation in time O(1). CoRR Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
2020	J	`jnl`	One-step regression and classification with crosspoint resistive memory arrays. CoRR Zhong Sun, Giacomo Pedretti, Alessandro Bricalli, Daniele Ielmini
2020	J	`jnl`	Time complexity of in-memory solution of linear systems. CoRR Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci, Elia Ambrosi, Alessandro Bricalli, Daniele Ielmini
2019	—	`conf`	A Volatile RRAM Synapse for Neuromorphic Computing. ICECS Erika Covi, Daniele Ielmini, Y.-H. Lin, Wei Wang, Tommaso Stecconi, Valerio Milo, Alessandro Bricalli, Elia Ambrosi, Giacomo Pedretti, Tseung-Yuen Tseng
2019	—	`conf`	Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses. VLSI Circuits Stefano Bianchi, I. Muñoz-Martín, Giacomo Pedretti, Octavian Melnic, Stefano Ambrogio, Daniele Ielmini
2019	—	`conf`	Fast Solution of Linear Systems with Analog Resistive Switching Memory (RRAM). ICRC Zhong Sun, Giacomo Pedretti, Daniele Ielmini
2019	—	`conf`	In-memory solution of linear systems with crosspoint arrays without iterations. DRC Zhong Sun, Giacomo Pedretti, Elia Ambrosi, Alessandro Bricalli, Wei Wang, Daniele Ielmini
2019	J	`jnl`	Self-organizing memristive nanowire networks with structural plasticity emulate biological neuronal circuits. CoRR Gianluca Milano, Giacomo Pedretti, Matteo Fretto, Luca Boarino, Fabio Benfenati, Daniele Ielmini, Ilia Valov, Carlo Ricciardi
2018	J	`jnl`	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. Valerio Milo, Giacomo Pedretti, Roberto Carboni, Alessandro Calderoni, Nirmal Ramaswamy, Stefano Ambrogio, Daniele Ielmini
2018	C	`conf`	Resistive switching synapses for unsupervised learning in feed-forward and recurrent neural networks. ISCAS Valerio Milo, Giacomo Pedretti, Mario Laudato, Alessandro Bricalli, Elia Ambrosi, Stefano Bianchi, Elisabetta Chicca, Daniele Ielmini
2018	J	`jnl`	Stochastic Learning in Neuromorphic Hardware via Spike Timing Dependent Plasticity With RRAM Synapses. IEEE J. Emerg. Sel. Topics Circuits Syst. Giacomo Pedretti, Valerio Milo, Stefano Ambrogio, Roberto Carboni, Stefano Bianchi, Alessandro Calderoni, Nirmal Ramaswamy, Alessandro S. Spinelli, Daniele Ielmini