Nimish Shah, Laura Isabel Galindez Olascoaga, Shirui Zhao, Wannes Meert, Marian Verhelst. 9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm. In IEEE International Solid-State Circuits Conference, ISSCC 2021, San Francisco, CA, USA, February 13-22, 2021. pages 150-152, IEEE, 2021. [doi]
@inproceedings{ShahOZMV21,
title = {9.4 PIU: A 248GOPS/W Stream-Based Processor for Irregular Probabilistic Inference Networks Using Precision-Scalable Posit Arithmetic in 28nm},
author = {Nimish Shah and Laura Isabel Galindez Olascoaga and Shirui Zhao and Wannes Meert and Marian Verhelst},
year = {2021},
doi = {10.1109/ISSCC42613.2021.9366061},
url = {https://doi.org/10.1109/ISSCC42613.2021.9366061},
researchr = {https://researchr.org/publication/ShahOZMV21},
cites = {0},
citedby = {0},
pages = {150-152},
booktitle = {IEEE International Solid-State Circuits Conference, ISSCC 2021, San Francisco, CA, USA, February 13-22, 2021},
publisher = {IEEE},
isbn = {978-1-7281-9549-0},
}