Alexander Sludds

18 papers A* 1Misc 1Journal 8Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Three-Terminal Nanophotonic Integrator for Deep Neural Networks. OFC Saumil Bandyopadhyay, Kfir Sulimany, Alexander Sludds, Ryan Hamerly, Keren Bergman, Dirk R. Englund
2025	—	`conf`	Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. OFC Reza Baghdadi, Carlos Dorta-Quinones, Alexander Sludds, Shashank Gupta, Pietro Ciccarella, Bryce Gardiner, Joyce K. S. Poon, Darius Bunandar, Nicholas C. Harris
2024	J	`jnl`	Hypermultiplexed Integrated Tensor Optical Processor. CoRR Shaoyuan Ou, Alexander Sludds, Ryan Hamerly, Ke Zhang, Hanke Feng, Eric Zhong, Cheng Wang, Dirk R. Englund, Mengjie Yu, Zaijun Chen
2024	J	`jnl`	Towards the Information-Theoretic Limit of Programmable Photonics. CoRR Ryan Hamerly, Jasvith Raj Basani, Alexander Sludds, Sri Krishna Vadlamani, Dirk R. Englund
2023	Misc	`conf`	A Phase-Optimal Linear Photonic Architecture. PSC Ryan Hamerly, Alexander Sludds, Dirk R. Englund
2023	—	`—`	Delocalized Photonic Deep Learning on the Internet's Edge Alexander Sludds
2023	A*	`conf`	Lightning: A Reconfigurable Photonic-Electronic SmartNIC for Fast and Energy-Efficient Inference. SIGCOMM Zhizhen Zhong, Mingran Yang, Jay Lang, Christian Williams, Liam Kronman, Alexander Sludds, Homa Esfahanizadeh, Dirk R. Englund, Manya Ghobadi
2022	—	`conf`	Coherent VCSEL Network Computing. OECC/PSC 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
2022	J	`jnl`	Deep Learning with Coherent VCSEL Neural Networks. CoRR Zaijun Chen, Alexander Sludds, Ronald Davis, Ian Christen, Liane Bernstein, Tobias Heuser, Niels Heermeier, James A. Lott, Stephan Reitzenstein, Ryan Hamerly, Dirk R. Englund
2022	J	`jnl`	Delocalized Photonic Deep Learning on the Internet's Edge. CoRR 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
2022	—	`conf`	Demonstration of WDM-Enabled Ultralow-Energy Photonic Edge Computing. OFC Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zhizhen Zhong, Zaijun Chen, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
2022	—	`conf`	Design of Asymptotically Perfect Linear Feedforward Photonic Circuits. OFC Ryan Hamerly, Saumil Bandyopadhyay, Alexander Sludds, Dirk R. Englund
2022	J	`jnl`	Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks. CoRR Ryan Hamerly, Alexander Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Dirk R. Englund
2022	J	`jnl`	Single chip photonic deep neural network with accelerated training. CoRR Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund
2022	J	`jnl`	Single-Shot Optical Neural Network. CoRR Liane Bernstein, Alexander Sludds, Christopher Panuski, Sivan Trajtenberg-Mills, Ryan Hamerly, Dirk R. Englund
2022	—	`conf`	WDM-Enabled Photonic Edge Computing. OECC/PSC Alexander Sludds, Ryan Hamerly, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi, Dirk R. Englund
2021	—	`conf`	IOI: In-network Optical Inference. OptSys@SIGCOMM Zhizhen Zhong, Weiyang Wang, Manya Ghobadi, Alexander Sludds, Ryan Hamerly, Liane Bernstein, Dirk R. Englund
2020	J	`jnl`	Freely scalable and reconfigurable optical hardware for deep learning. CoRR Liane Bernstein, Alexander Sludds, Ryan Hamerly, Vivienne Sze, Joel S. Emer, Dirk R. Englund