Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing

Decoding Algorithms and HW Strategies to Mitigate Uncertainties in a PCM-Based Analog Encoder for Compressed Sensing

Analog In-Memory computing (AIMC) is a novel paradigm looking for solutions to prevent the unnecessary transfer of data by distributing computation within memory elements. One such operation is matrix-vector multiplication (MVM), a workhorse of many fields ranging from linear regression to Deep Lear...

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Bibliographic Details
Main Authors: Carmine Paolino, Alessio Antolini, Francesco Zavalloni, Andrea Lico, Eleonora Franchi Scarselli, Mauro Mangia, Alex Marchioni, Fabio Pareschi, Gianluca Setti, Riccardo Rovatti, Mattia Luigi Torres, Marcella Carissimi, Marco Pasotti
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Journal of Low Power Electronics and Applications
Subjects:
analog in-memory computing (AIMC)
phase-change memory (PCM)
compressed sensing (CS)
sensing matrix uncertainty
drift compensation
Online Access:https://www.mdpi.com/2079-9268/13/1/17

Internet

https://www.mdpi.com/2079-9268/13/1/17

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