APA (7th ed.) Citation

Garofalo, A., Tortorella, Y., Perotti, M., Valente, L., Nadalini, A., Benini, L., . . . Conti, F. (2022). Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. IEEE open journal of solid-state circuits, 2, 1. https://doi.org/10.1109/OJSSCS.2022.3210082

Chicago Style (17th ed.) Citation

Garofalo, Angelo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, and Francesco Conti. "Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training." IEEE Open Journal of Solid-state Circuits 2 (2022): 1. https://doi.org/10.1109/OJSSCS.2022.3210082.

MLA (9th ed.) Citation

Garofalo, Angelo, et al. "Darkside: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training." IEEE Open Journal of Solid-state Circuits, vol. 2, 2022, p. 1, https://doi.org/10.1109/OJSSCS.2022.3210082.