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Liane Bernstein
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2020 – today
- 2024
- [b1]Liane Bernstein:
Large-Scale Optical Hardware for Neural Network Inference Acceleration. MIT, USA, 2024 - 2022
- [c4]Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund:
Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. OFC 2022: 1-3 - [c3]Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Lamia Ateshian, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
:
Coherent VCSEL Network Computing. OECC/PSC 2022: 1-3 - [c2]Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
:
WDM-Enabled Photonic Edge Computing. OECC/PSC 2022: 1-3 - [i6]Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Jared Cochrane, Liane Bernstein, Darius Bunandar, P. Ben Dixon
, Scott A. Hamilton, Matthew Streshinsky, Ari Novack, Tom Baehr Jones, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk R. Englund
:
Delocalized Photonic Deep Learning on the Internet's Edge. CoRR abs/2203.05466 (2022) - [i5]Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund
:
Single-Shot Optical Neural Network. CoRR abs/2205.09103 (2022) - [i4]Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund
:
Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. CoRR abs/2207.01777 (2022) - [i3]Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
:
Deep Learning with Coherent VCSEL Neural Networks. CoRR abs/2207.05329 (2022) - 2021
- [c1]Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund
:
IOI: In-network Optical Inference. OptSys@SIGCOMM 2021: 18-22 - 2020
- [i2]Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund:
Freely scalable and reconfigurable optical hardware for deep learning. CoRR abs/2006.13926 (2020)
2010 – 2019
- 2018
- [i1]Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund:
Large-Scale Optical Neural Networks based on Photoelectric Multiplication. CoRR abs/1812.07614 (2018)
Coauthor Index
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