Alex Sludds

According to our database, Alex Sludds authored at least 15 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Hypermultiplexed Integrated Tensor Optical Processor.

Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen

CoRR, 2024

2023

Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference.

Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi

Proceedings of the ACM SIGCOMM 2023 Conference, 2023

A Phase-Optimal Linear Photonic Architecture.

Ryan Hamerly, Alexander Sludds, Dirk R. Englund

Proceedings of the International Conference on Photonics in Switching and Computing, 2023

2022

Single chip photonic deep neural network with accelerated training.

Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund

CoRR, 2022

Deep Learning with Coherent VCSEL Neural Networks.

Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks.

Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund

CoRR, 2022

Single-Shot Optical Neural Network.

Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

Delocalized Photonic Deep Learning on the Internet's Edge.

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

CoRR, 2022

WDM-Enabled Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Coherent VCSEL Network Computing.

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

Proceedings of the 2022 27th OptoElectronics and Communications Conference (OECC) and 2022 International Conference on Photonics in Switching and Computing (PSC), 2022

Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing.

Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Design of Asymptotically Perfect Linear Feedforward Photonic Circuits.

Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2021

IOI: In-network Optical Inference.

Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund

Proceedings of the OptSys '21: Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 2021

2020

Freely scalable and reconfigurable optical hardware for deep learning.

Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund

CoRR, 2020

2018

Large-Scale Optical Neural Networks based on Photoelectric Multiplication.

Ryan Hamerly, Alex Sludds, Liane Bernstein, Marin Soljacic, Dirk R. Englund

CoRR, 2018