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Alexander Sludds
Alexander Sludds
Lightmatter, Massachusetts Institute of Technology
Verified email at lightmatter.co - Homepage
Title
Cited by
Cited by
Year
Large-scale optical neural networks based on photoelectric multiplication
R Hamerly, L Bernstein, A Sludds, M Soljačić, D Englund
Physical Review X 9 (2), 021032, 2019
4212019
Delocalized Photonic Deep Learning on the Internet's Edge
A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, J Cochrane, L Bernstein, ...
Science 378 (6617), 270-276, 2022
872022
Freely scalable and reconfigurable optical hardware for deep learning
L Bernstein, A Sludds, R Hamerly, V Sze, J Emer, D Englund
Scientific reports 11 (1), 3144, 2021
682021
Single chip photonic deep neural network with accelerated training
S Bandyopadhyay, A Sludds, S Krastanov, R Hamerly, N Harris, ...
arXiv preprint arXiv:2208.01623, 2022
582022
Deep learning with coherent VCSEL neural networks
Z Chen, A Sludds, R Davis III, I Christen, L Bernstein, L Ateshian, ...
Nature Photonics 17 (8), 723-730, 2023
502023
Towards large-scale photonic neural-network accelerators
R Hamerly, A Sludds, L Bernstein, M Prabhu, C Roques-Carmes, ...
2019 IEEE international electron devices meeting (IEDM), 22.8. 1-22.8. 4, 2019
232019
Single-shot optical neural network
L Bernstein, A Sludds, C Panuski, S Trajtenberg-Mills, R Hamerly, ...
Science Advances 9 (25), eadg7904, 2023
212023
Lightning: A reconfigurable photonic-electronic smartnic for fast and energy-efficient inference
Z Zhong, M Yang, J Lang, C Williams, L Kronman, A Sludds, ...
Proceedings of the ACM SIGCOMM 2023 Conference, 452-472, 2023
142023
IOI: In-network optical inference
Z Zhong, W Wang, M Ghobadi, A Sludds, R Hamerly, L Bernstein, ...
Proceedings of the ACM SIGCOMM 2021 Workshop on Optical Systems, 18-22, 2021
142021
The future of deep learning is photonic: Reducing the energy needs of neural networks might require computing with light
R Hamerly
IEEE Spectrum 58 (7), 30-47, 2021
132021
Edge computing with optical neural networks via WDM weight broadcasting
R Hamerly, A Sludds, S Bandyopadhyay, L Bernstein, Z Chen, M Ghobadi, ...
Emerging Topics in Artificial Intelligence (ETAI) 2021 11804, 55-60, 2021
62021
A photonic deep neural network processor on a single chip with optically accelerated training
S Bandyopadhyay, A Sludds, S Krastanov, R Hamerly, N Harris, ...
2023 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2023
42023
WDM-Enabled Photonic Edge Computing
A Sludds, R Hamerly, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, ...
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022
42022
Digital optical neural networks for large-scale machine learning
L Bernstein, A Sludds, R Hamerly, V Sze, J Emer, D Englund
2020 Conference on Lasers and Electro-Optics (CLEO), 1-2, 2020
42020
Netcast: low-power edge computing with WDM-defined optical neural networks
R Hamerly, A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, ...
Journal of Lightwave Technology, 2024
32024
Coherent VCSEL network computing
Z Chen, A Sludds, R Davis, I Christen, L Ateshian, L Bernstein, T Heuser, ...
2022 27th OptoElectronics and Communications Conference (OECC) and 2022 …, 2022
32022
Design of asymptotically perfect linear feedforward photonic circuits
R Hamerly, S Bandyopadhyay, A Sludds, D Englund
Optical Fiber Communication Conference, W2A. 5, 2022
32022
A scalable optical neural network architecture using coherent detection
A Sludds, L Bernstein, R Hamerly, M Soljacic, D Englund
AI and Optical Data Sciences 11299, 33-41, 2020
32020
Photonic crystal cavity IQ modulators in thin-film lithium niobate for coherent communications
H Larocque, DLP Vitullo, A Sludds, H Sattari, I Christen, G Choong, ...
arXiv preprint arXiv:2312.16746, 2023
22023
Wavelength multiplexed ultralow-power photonic edge computing
A Sludds, S Bandyopadhyay, Z Chen, Z Zhong, L Bernstein, D Bunandar, ...
arXiv e-prints, arXiv: 2203.05466, 2022
22022
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