Brian Zimmer, Rangharajan Venkatesan, Yakun Sophia Shao, Jason Clemons, Matthew Fojtik, Nan Jiang, Ben Keller, Alicia Klinefelter, Nathaniel Ross Pinckney, Priyanka Raina, Stephen G. Tell, Yanqing Zhang, William J. Dally, Joel S. Emer, C. Thomas Gray, Stephen W. Keckler, Brucek Khailany. A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm. J. Solid-State Circuits, 55(4):920-932, 2020. [doi]
@article{ZimmerVSCFJKKPR20,
title = {A 0.32-128 TOPS, Scalable Multi-Chip-Module-Based Deep Neural Network Inference Accelerator With Ground-Referenced Signaling in 16 nm},
author = {Brian Zimmer and Rangharajan Venkatesan and Yakun Sophia Shao and Jason Clemons and Matthew Fojtik and Nan Jiang and Ben Keller and Alicia Klinefelter and Nathaniel Ross Pinckney and Priyanka Raina and Stephen G. Tell and Yanqing Zhang and William J. Dally and Joel S. Emer and C. Thomas Gray and Stephen W. Keckler and Brucek Khailany},
year = {2020},
doi = {10.1109/JSSC.2019.2960488},
url = {https://doi.org/10.1109/JSSC.2019.2960488},
researchr = {https://researchr.org/publication/ZimmerVSCFJKKPR20},
cites = {0},
citedby = {0},
journal = {J. Solid-State Circuits},
volume = {55},
number = {4},
pages = {920-932},
}