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ORCIDDarius Bunandar
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2020 – today
- 2025
[j2]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:
Universal photonic artificial intelligence acceleration. Nat. 640(8058): 368-374 (2025)- [c9]Darius Bunandar:
Passage M1000 : A 3D Photonic Interposer for AI. HCS 2025: 1-34 - [c8]Ying Li
, Yuhui Bao, Gongyu Wang, Xinxin Mei, Pranav Vaid, Anandaroop Ghosh, Adwait Jog, Darius Bunandar, Ajay Joshi, Yifan Sun:
TrioSim: A Lightweight Simulator for Large-Scale DNN Workloads on Multi-GPU Systems. ISCA 2025: 1524-1538 - [c7]Reza Baghdadi, Carlos Dorta-Quinones, Alexander Sludds, Shashank Gupta, Pietro Ciccarella, Bryce Gardiner, Joyce K. S. Poon, Darius Bunandar, Nicholas C. Harris:
Monolithically Integrated Microring Transmitter and Receiver for High-Density 3D Co-Packaged Optics. OFC 2025: 1-3 - [c6]Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh:
Chip-to-chip photonic connectivity in multi-accelerator servers for ML. OFC 2025: 1-3 - [i13]Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh:
Chip-to-chip photonic connectivity in multi-accelerator servers for ML. CoRR abs/2501.18169 (2025) - 2024
- [c5]Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh:
A case for server-scale photonic connectivity. HotNets 2024: 290-299 - [c4]Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi:
Mirage: An RNS-Based Photonic Accelerator for DNN Training. ISCA 2024: 73-87 - [i12]Farbin Fayza, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi:
Photonics for Sustainable Computing. CoRR abs/2401.05121 (2024) - 2023
- [j1]Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar:
An Electro-Photonic System for Accelerating Deep Neural Networks. ACM J. Emerg. Technol. Comput. Syst. 19(4): 30:1-30:31 (2023) - [c3]Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan:
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. HPEC 2023: 1-9 - [i11]Lakshmi Nair, Darius Bunandar:
Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware. CoRR abs/2306.03076 (2023) - [i10]Cansu Demirkiran, Rashmi Agrawal, Vijay Janapa Reddi, Darius Bunandar, Ajay Joshi:
Leveraging Residue Number System for Designing High-Precision Analog Deep Neural Network Accelerators. CoRR abs/2306.09481 (2023) - [i9]Lakshmi Nair, Mikhail Bernadskiy, Arulselvan Madhavan, Craig Chan, Ayon Basumallik, Darius Bunandar:
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers. CoRR abs/2307.03712 (2023) - [i8]Cansu Demirkiran, Lakshmi Nair, Darius Bunandar, Ajay Joshi:
A Blueprint for Precise and Fault-Tolerant Analog Neural Networks. CoRR abs/2309.10759 (2023) - [i7]Lakshmi Nair, David P. Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan:
Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection. CoRR abs/2309.16783 (2023) - [i6]Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi:
Accelerating DNN Training With Photonics: A Residue Number System-Based Design. CoRR abs/2311.17323 (2023) - [i5]Farbin Fayza, Cansu Demirkiran, Hanning Chen, Che-Kai Liu, Avi Mohan, Hamza Errahmouni Barkam, Sanggeon Yun, Mohsen Imani, David Zhang, Darius Bunandar, Ajay Joshi:
Towards Efficient Hyperdimensional Computing Using Photonics. CoRR abs/2311.17801 (2023) - 2022
- [i4]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:
Delocalized Photonic Deep Learning on the Internet's Edge. CoRR abs/2203.05466 (2022) - [i3]Ayon Basumallik, Darius Bunandar, Nicholas Dronen, Nicholas C. Harris, Ludmila Levkova, Calvin McCarter, Lakshmi Nair, David Walter, David P. Widemann:
Adaptive Block Floating-Point for Analog Deep Learning Hardware. CoRR abs/2205.06287 (2022) - [i2]Saumil Bandyopadhyay, Alexander Sludds, Stefan Krastanov, Ryan Hamerly, Nicholas C. Harris, Darius Bunandar, Matthew Streshinsky, Michael Hochberg, Dirk R. Englund:
Single chip photonic deep neural network with accelerated training. CoRR abs/2208.01623 (2022) - 2021
- [i1]Cansu Demirkiran, Furkan Eris, Gongyu Wang, Jonathan Elmhurst, Nick Moore, Nicholas C. Harris, Ayon Basumallik, Vijay Janapa Reddi, Ajay Joshi, Darius Bunandar:
An Electro-Photonic System for Accelerating Deep Neural Networks. CoRR abs/2109.01126 (2021) - 2020
- [c2]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:
Accelerating Artificial Intelligence with Silicon Photonics. OFC 2020: 1-4
2010 – 2019
- 2018
- [c1]Bin Shi, Nicola Calabretta, Darius Bunandar, Dirk R. Englund, Ripalta Stabile:
WDM Weighted Sum in an 8x8 SOA-Based InP Cross-Connect for Photonic Deep Neural Networks. PSC 2018: 1-3
Coauthor Index
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