Cite
DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training
MLA
Garofalo, Angelo, et al. DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. 2023. EBSCOhost, https://doi.org/10.1109/OJSSCS.2022.3210082.
APA
Garofalo, A., Tortorella, Y., Perotti, M., Valente, L., Nadalini, A., Benini, L., Rossi, D., & Conti, F. (2023). DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training. https://doi.org/10.1109/OJSSCS.2022.3210082
Chicago
Garofalo, Angelo, Yvan Tortorella, Matteo Perotti, Luca Valente, Alessandro Nadalini, Luca Benini, Davide Rossi, and Francesco Conti. 2023. “DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training.” doi:10.1109/OJSSCS.2022.3210082.