MANNOCCI, PIERGIULIO

MANNOCCI, PIERGIULIO  

DIPARTIMENTO DI ELETTRONICA, INFORMAZIONE E BIOINGEGNERIA  

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Risultati 1 - 20 di 24 (tempo di esecuzione: 0.052 secondi).
Titolo Data di pubblicazione Autori File
A Generalized Block-Matrix Circuit for Closed-Loop Analog In-Memory Computing 1-gen-2023 Mannocci, PIelmini, D
A spiking recurrent neural network with phase change memory neurons and synapses for the accelerated solution of constraint satisfaction problems 1-gen-2020 Pedretti G.Mannocci P.Hashemkhani S.Milo V.Melnic O.Chicca E.Ielmini D.
A Spiking Recurrent Neural Network with Phase Change Memory Synapses for Decision Making 1-gen-2020 Pedretti, G.Milo, V.Hashemkhani, S.Mannocci, P.Melnic, O.Chicca, E.Ielmini, D.
A Universal, Analog, In-Memory Computing Primitive for Linear Algebra Using Memristors 1-gen-2021 Mannocci, PiergiulioPedretti, GiacomoGiannone, ElisabettaIelmini, Daniele +
Accelerating massive MIMO in 6G communications by analog in-memory computing circuits 1-gen-2023 Mannocci, PiergiulioPedretti, GiacomoVilla, CorradoSancandi, FlavioSpagnolini, UmbertoIelmini, Daniele +
An analogue in-memory ridge regression circuit with application to massive MIMO acceleration 1-gen-2022 P. MannocciD. Ielmini +
An SRAM-based reconfigurable analog in-memory computing circuit for solving linear algebra problems 1-gen-2023 Mannocci, P.Pedretti, G.Villa, C.Sancandi, F.Spagnolini, U.Ielmini, D. +
An Ultrafast (< 200 ns) Sparse Solution Solver made by HfWOx/VOy Threshold Tunable Neurons 1-gen-2023 Mannocci, PiergiulioIelmini, Daniele +
Closed-Loop In-Memory Computing for Energy-Efficient Matrix Eigendecomposition 1-gen-2023 Mannocci, PiergiulioGiannone, ElisabettaIelmini, Daniele
Compact Modeling and Mitigation of Parasitics in Crosspoint Accelerators of Neural Networks 1-gen-2024 Lepri, N.Glukhov, A.Mannocci, P.Porzani, M.Ielmini, D.
Development of Crosspoint Memory Arrays for Neuromorphic Computing 1-gen-2024 Ricci, SaverioMannocci, PiergiulioFarronato, MatteoMilozzi, AlessandroIelmini, Daniele
Experimental verification and benchmark of in-memory principal component analysis by crosspoint arrays of resistive switching memory 1-gen-2022 Mannocci, PiergiulioZambelli, CristianIelmini, Daniele +
Forming-Free Resistive Switching Memory Crosspoint Arrays for In-Memory Machine Learning 1-gen-2022 Ricci, SMannocci, PFarronato, MHashemkhani, SIelmini, D
In-Memory Computing for Machine Learning and Deep Learning 1-gen-2023 Lepri, N.Glukhov, A.Cattaneo, L.Farronato, M.Mannocci, P.Ielmini, D.
In-memory computing with emerging memory devices: Status and outlook 1-gen-2023 Mannocci, P.Farronato, M.Lepri, N.Cattaneo, L.Glukhov, A.Ielmini, D. +
In-memory neural network accelerator based on phase change memory (PCM) with one-selector/one-resistor (1S1R) structure operated in the subthreshold regime 1-gen-2023 Lepri, NMannocci, PIelmini, D +
In-Memory Principal Component Analysis by Analogue Closed-Loop Eigendecomposition 1-gen-2023 Mannocci, PiergiulioGiannone, ElisabettaIelmini, Daniele
In-Memory Principal Component Analysis by Crosspoint Array of Resistive Switching Memory: A New Hardware Approach for Energy-Efficient Data Analysis in Edge Computing 1-gen-2022 Mannocci PiergiulioZambelli CristianIelmini Daniele +
Modeling and Compensation of IR Drop in Crosspoint Accelerators of Neural Networks 1-gen-2022 Lepri N.Baldo M.Mannocci P.Glukhov A.Milo V.Ielmini D.
Redundancy and Analog Slicing for Precise in-Memory Machine Learning--Part I: Programming Techniques 1-gen-2021 Pedretti G.Mannocci P.Sun Z.Ielmini D. +