Darius Bunandar

27 papers A* 2A 2Misc 2Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2026 — conf
Reconfigurable Torus Fabrics for Multi-tenant ML.
ASPLOS (2)
Abhishek Vijaya Kumar, Eric Ding, Arjun Devraj, Darius Bunandar, Rachee Singh
2025 — conf
Chip-to-chip photonic connectivity in multi-accelerator servers for ML.
OFC
Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh
2025 J jnl
Chip-to-chip photonic connectivity in multi-accelerator servers for ML.
CoRR
Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh
2025 A conf
EPiCarbon: A Carbon Modeling Tool for Electro-Photonic Accelerators.
ICCAD
Farbin Fayza, Cansu Demirkiran, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi
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
2025 — conf
Passage M1000 : A 3D Photonic Interposer for AI.
HCS
Darius Bunandar
2025 A* conf
TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems.
ISCA
Ying Li, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun
2025 J jnl
Universal photonic artificial intelligence acceleration.
Nat.
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, Jonathan Elmhurst, Bryce Gardiner, Elliot Greenwald, Shashank Gupta, Parry Husbands, Brian Jones, Anthony Kopa, Ho John Lee, Arulselvan Madhavan, Adam Mendrela, Nicholas Moore, Lakshmi Nair, Aditya Om, Subie Patel, Rutayan Patro, Rob Pellowski, Esha Radhakrishnani, Sandeep Sane, Nicholas Sarkis, Joe Stadolnik, Mykhailo Tymchenko, Gongyu Wang, Kurt Winikka, Alexandra Wleklinski, Josh Zelman, Richard Ho, Ritesh Jain, Ayon Basumallik, Darius Bunandar, Nicholas C. Harris
2025 A conf
Waferscale Silicon Photonics Systems: A Cost-Benefit Analysis and Optimization.
ICCAD
Robert Bao, Zongrui Cai, Shuangliang Chen, Ajay Joshi, Darius Bunandar, Rakesh Kumar
2024 Misc conf
A case for server-scale photonic connectivity.
HotNets
Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh
2024 A* conf
Mirage: An RNS-Based Photonic Accelerator for DNN Training.
ISCA
Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi
2024 J jnl
Photonics for Sustainable Computing.
CoRR
Farbin Fayza, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi
2023 J jnl
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks.
CoRR
Cansu Demirkiran, Lakshmi Nair, Darius Bunandar, Ajay Joshi
2023 J jnl
Accelerating DNN Training With Photonics: A Residue Number System-Based Design.
CoRR
Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi
2023 J jnl
An Electro-Photonic System for Accelerating Deep Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
2023 J jnl
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers.
CoRR
Lakshmi Nair, Mikhail Bernadskiy, Arulselvan Madhavan, Craig Chan, Ayon Basumallik, Darius Bunandar
2023 J jnl
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators.
CoRR
Cansu Demirkiran, Rashmi Agrawal, Vijay Janapa Reddi, Darius Bunandar, Ajay Joshi
2023 — conf
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection.
HPEC
Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan
2023 J jnl
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection.
CoRR
Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan
2023 J jnl
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware.
CoRR
Lakshmi Nair, Darius Bunandar
2023 J jnl
Towards Efficient Hyperdimensional Computing Using Photonics.
CoRR
Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi
2022 J jnl
Adaptive Block Floating-Point for Analog Deep Learning Hardware.
CoRR
Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas C. Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David P. Widemann
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 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
2021 J jnl
An Electro-Photonic System for Accelerating Deep Neural Networks.
CoRR
Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar
2020 — conf
Accelerating Artificial Intelligence with Silicon Photonics.
OFC
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, Gary Kong, Tomo Lazovich, Scott McKenzie, Carl Ramey, Chithira Ravi, Michael Scott, John Sweeney, Ozgur Yildirim, Katrina Zhang
2018 Misc conf
WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks.
PSC
Bin Shi, Nicola Calabretta, Darius Bunandar, Dirk R. Englund, Ripalta Stabile