50 citations · 53 across the 4 of their papers we have counts for
4 papers
Continuous-time nonlinear closed-loop in-memory computing for high-accuracy massive MIMO detection
Piergiulio Mannocci, Giacomo Pedretti, Fabian Böhm +1
Analog in-memory computing (IMC) has emerged as a promising approach for accelerating matrix operations by exploiting the intrinsic physics of memory arrays. To date, however, most…
Modern analog computing for solving differential and matrix equations
Zhong Sun, Piergiulio Mannocci, Manuel Le Gallo +1
In recent years, driven by the computational demands of data-intensive applications such as artificial intelligence and scientific computing, analog computing has gained renewed in…
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…
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…