activity
20192024
most citedAnalog content addressable memories with memristors

175 citations · 483 across the 7 of their papers we have counts for

collaborators

7 papers

eess.SP2024★ 3 cited

Roadmap to Neuromorphic Computing with Emerging Technologies

Adnan Mehonic, Daniele Ielmini, Kaushik Roy +50

The roadmap is organized into several thematic sections, outlining current computing challenges, discussing the neuromorphic computing approach, analyzing mature and currently util…

cs.ET2021★ 2 cited

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

Giacomo Pedretti, Catherine E. Graves, Can Li +5

Tree-based machine learning techniques, such as Decision Trees and Random Forests, are top performers in several domains as they do well with limited training datasets and offer im…

cs.CC2020★ 32 cited

In-memory eigenvector computation in time O(1)

Zhong Sun, Giacomo Pedretti, Elia Ambrosi +2

In-memory computing with crosspoint resistive memory arrays has gained enormous attention to accelerate the matrix-vector multiplication in the computation of data-centric applicat…

cs.CC2020★ 50 cited

Time complexity of in-memory solution of linear systems

Zhong Sun, Giacomo Pedretti, Piergiulio Mannocci +3

In-memory computing with crosspoint resistive memory arrays has been shown to accelerate data-centric computations such as the training and inference of deep neural networks, thank…

cs.LG2020★ 106 cited

One-step regression and classification with crosspoint resistive memory arrays

Zhong Sun, Giacomo Pedretti, Alessandro Bricalli +1

Machine learning has been getting a large attention in the recent years, as a tool to process big data generated by ubiquitous sensors in our daily life. High speed, low energy com…

physics.app-ph2019★ 115 cited

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

Gianluca Milano, Giacomo Pedretti, Matteo Fretto +5

Acting as artificial synapses, two-terminal memristive devices are considered fundamental building blocks for the realization of artificial neural networks. Organized into large ar…

cs.ET2019★ 175 cited

Analog content addressable memories with memristors

Can Li, Catherine E. Graves, Xia Sheng +4

A content-addressable-memory compares an input search word against all rows of stored words in an array in a highly parallel manner. While supplying a very powerful functionality f…