Enrico Reggiani, Alessandro Pappalardo, Max Doblas, Miquel Moretó, Mauro Olivieri, Osman Sabri Unsal, Adrián Cristal. Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices. In IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023, Montreal, QC, Canada, February 25 - March 1, 2023. pages 1085-1098, IEEE, 2023. [doi]
@inproceedings{ReggianiPDMOUC23,
title = {Mix-GEMM: An efficient HW-SW Architecture for Mixed-Precision Quantized Deep Neural Networks Inference on Edge Devices},
author = {Enrico Reggiani and Alessandro Pappalardo and Max Doblas and Miquel Moretó and Mauro Olivieri and Osman Sabri Unsal and Adrián Cristal},
year = {2023},
doi = {10.1109/HPCA56546.2023.10071076},
url = {https://doi.org/10.1109/HPCA56546.2023.10071076},
researchr = {https://researchr.org/publication/ReggianiPDMOUC23},
cites = {0},
citedby = {0},
pages = {1085-1098},
booktitle = {IEEE International Symposium on High-Performance Computer Architecture, HPCA 2023, Montreal, QC, Canada, February 25 - March 1, 2023},
publisher = {IEEE},
isbn = {978-1-6654-7652-2},
}