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Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

TYPE OF PUBLICATION

Article in journal

AUTHORS

Angelo Garofalo; Yvan Tortorella; Matteo Perotti; Luca Valente; Alessandro Nadalini; Luca Benini; Davide Rossi; Francesco Conti

PUBLISHER

IEEE

YEAR OF PUBLICATION

2022

PLACE OF PUBLICATION

IEEE Journal on Emerging and Selected Topics in Circuits and Systems

ISSN

2644-1349

DOI

CITACION

A. Garofalo et al., "DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training," in IEEE Open Journal of the Solid-State Circuits Society, vol. 2, pp. 231-243, 2022, doi: 10.1109/OJSSCS.2022.3210082.

LINK TO THE REPOSITORY

https://ieeexplore.ieee.org/document/9903915

LINK TO THE PUBLICATION

https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9903915