Alexander Sludds

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Efficient Inference

Top Venues

Publications

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 (2024)
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)
Ryan Hamerly, Alexander Sludds, Dirk R. Englund
A Phase-Optimal Linear Photonic Architecture. PSC (2023)
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 (2022)
Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund
Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC (2022)
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 (2022)
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)
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)
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 (2022)
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)
Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund
Single-Shot Optical Neural Network. CoRR (2022)
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 (2022)
Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk Englund
IOI: In-network Optical Inference. OptSys@SIGCOMM (2021)
Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk Englund
Freely scalable and reconfigurable optical hardware for deep learning. CoRR (2020)