WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks. - Bin Shi; Nicola Calabretta; Darius Bunandar; Dirk R. Englund; Ripalta Stabile (PSC, 2018)

Accelerating Artificial Intelligence with Silicon Photonics. - Nicholas C. Harris; Ryan Braid; Darius Bunandar; Jim Carr; Brad Dobbie; Carlos Dorta-Quinones; Jon Elmhurst; Martin Forsythe; Michael Gould; Shashank Gupta; Sukeshwar Kannan; Tyler Kenney; et al. (OFC, 2020)

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; et al. (CoRR, 2022)

Adaptive Block Floating-Point for Analog Deep Learning Hardware. - Ayon Basumallik; Darius Bunandar; Nicholas Dronen; Nicholas C. Harris; Ludmila Levkova; Calvin McCarter; Lakshmi Nair; David Walter; David P. Widemann (CoRR, 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)

Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. - Lakshmi Nair; David P. Widemann; Brad Turcott; Nick Moore; Alexandra Wleklinski; Darius Bunandar; Ioannis Papavasileiou; Shihu Wang; Eric Logan (HPEC, 2023)

Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware. - Lakshmi Nair; Darius Bunandar (CoRR, 2023)

Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators. - Cansu Demirkiran; Rashmi Agrawal; Vijay Janapa Reddi; Darius Bunandar; Ajay Joshi (CoRR, 2023)

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers. - Lakshmi Nair; Mikhail Bernadskiy; Arulselvan Madhavan; Craig Chan; Ayon Basumallik; Darius Bunandar (CoRR, 2023)

A Blueprint for Precise and Fault-Tolerant Analog Neural Networks. - Cansu Demirkiran; Lakshmi Nair; Darius Bunandar; Ajay Joshi (CoRR, 2023)

Accelerating DNN Training With Photonics: A Residue Number System-Based Design. - Cansu Demirkiran; Guowei Yang 005; Darius Bunandar; Ajay Joshi (CoRR, 2023)

Towards Efficient Hyperdimensional Computing Using Photonics. - Farbin Fayza; Cansu Demirkiran; Hanning Chen; Che-Kai Liu; Avi Mohan; Hamza Errahmouni Barkam; Sanggeon Yun; Mohsen Imani; David Zhang; Darius Bunandar; Ajay Joshi (CoRR, 2023)

An Electro-Photonic System for Accelerating Deep Neural Networks. - Cansu Demirkiran; Furkan Eris; Gongyu Wang; Jonathan Elmhurst; Nick Moore; Nicholas C. Harris; Ayon Basumallik; Vijay Janapa Reddi; Ajay Joshi; Darius Bunandar (ACM J. Emerg. Technol. Comput. Syst., 2023)

A case for server-scale photonic connectivity. - Abhishek Vijaya Kumar; Arjun Devraj; Darius Bunandar; Rachee Singh (HotNets, 2024)

Mirage: An RNS-Based Photonic Accelerator for DNN Training. - Cansu Demirkiran; Guowei Yang 005; Darius Bunandar; Ajay Joshi (ISCA, 2024)

Photonics for Sustainable Computing. - Farbin Fayza; Satyavolu Papa Rao; Darius Bunandar; Udit Gupta; Ajay Joshi (CoRR, 2024)

TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems. - Ying Li 049; Yuhui Bao; Gongyu Wang; Xinxin Mei; Pranav Vaid; Anandaroop Ghosh; Adwait Jog; Darius Bunandar; Ajay Joshi; Yifan Sun 002 (ISCA, 2025)

Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. - Reza Baghdadi; Carlos Dorta-Quinones; Alexander Sludds; Shashank Gupta; Pietro Ciccarella; Bryce Gardiner; Joyce K. S. Poon; Darius Bunandar; Nicholas C. Harris (OFC, 2025)

Chip-to-chip photonic connectivity in multi-accelerator servers for ML. - Abhishek Vijaya Kumar; Arjun Devraj; Darius Bunandar; Rachee Singh (OFC, 2025)

Universal photonic artificial intelligence acceleration. - Sufi R. Ahmed; Reza Baghdadi; Mikhail Bernadskiy; Nate Bowman; Ryan Braid; Jim Carr; Chen Chen; Pietro Ciccarella; Matthew Cole; John Cooke; Kishor Desai; Carlos Dorta; et al. (Nat., 2025)

LUMION: Fast Fault Recovery for ML Jobs Using Programmable Optical Fabrics. - Abhishek Vijaya Kumar; Eric Ding 002; Arjun Devraj; Darius Bunandar; Rachee Singh (CoRR, 2025)