activity
20192021
most citedOne-step regression and classification with crosspoint resistive memory arrays

106 citations · 188 across the 3 of their papers we have counts for

collaborators

5 papers

cs.ET2021

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.CC202032 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.CC202050 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.LG2020106 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…

cs.ET2019

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…