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2020 – today
- 2024
[i9]Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen:
Hypermultiplexed Integrated Tensor Optical Processor. CoRR abs/2401.18050 (2024)- [i8]Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund:
Towards the Information-Theoretic Limit of Programmable Photonics. CoRR abs/2408.09673 (2024) - 2023
- [b1]Alexander Sludds:
Delocalized Photonic Deep Learning on the Internet's Edge. MIT, USA, 2023 - [c7]Ryan Hamerly, Alexander Sludds, Dirk R. Englund:
A Phase-Optimal Linear Photonic Architecture. PSC 2023: 1-3 - [c6]Zhizhen Zhong
, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi:
Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. SIGCOMM 2023: 452-472 - 2022
- [c5]Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund:
Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC 2022: 1-3 - [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 - [i7]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) - [i6]Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund:
Single-Shot Optical Neural Network. CoRR abs/2205.09103 (2022) - [i5]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) - [i4]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) - [i3]Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund:
Single chip photonic deep neural network with accelerated training. CoRR abs/2208.01623 (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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