106 citations · 192 across the 6 of their papers we have counts for
6 papers
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…
Extremely-Fast, Energy-Efficient Massive MIMO Precoding with Analog RRAM Matrix Computing
Pushen Zuo, Zhong Sun, Ru Huang
Signal processing in wireless communications, such as precoding, detection, and channel estimation, are basically about solving inverse matrix problems, which, however, are slow an…
Tutorial: Analog Matrix Computing (AMC) with Crosspoint Resistive Memory Arrays
Zhong Sun, Daniele Ielmini
Matrix computation is ubiquitous in modern scientific and engineering fields. Due to the high computational complexity in conventional digital computers, matrix computation represe…
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…
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…
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…