Darius Bunandar

According to our database, Darius Bunandar authored at least 16 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Photonics for Sustainable Computing.

Farbin Fayza, Satyavolu Papa Rao, Darius Bunandar, Udit Gupta, Ajay Joshi

CoRR, 2024

Mirage: An RNS-Based Photonic Accelerator for DNN Training.

Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi

Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024

A case for server-scale photonic connectivity.

Abhishek Vijaya Kumar, Arjun Devraj, Darius Bunandar, Rachee Singh

Proceedings of the 23rd ACM Workshop on Hot Topics in Networks, 2024

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., October, 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

Accelerating DNN Training With Photonics: A Residue Number System-Based Design.

Cansu Demirkiran, Guowei Yang, Darius Bunandar, Ajay Joshi

CoRR, 2023

A Blueprint for Precise and Fault-Tolerant Analog Neural Networks.

Cansu Demirkiran, Lakshmi Nair, 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

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

Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware.

Lakshmi Nair, Darius Bunandar

CoRR, 2023

Photonic Accelerators for Image Segmentation in Autonomous Driving and Defect Detection.

Lakshmi Nair, David Widemann, Brad Turcott, Nick Moore, Alexandra Wleklinski, Darius Bunandar, Ioannis Papavasileiou, Shihu Wang, Eric Logan

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

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

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 Widemann

CoRR, 2022

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, Michael Hochberg, Manya Ghobadi, Ryan Hamerly, Dirk R. Englund

CoRR, 2022

2020

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, Gary Kong, Tomo Lazovich, Scott Mckenzie, Carl Ramey, Chithira Ravi, Michael Scott, John Sweeney, Ozgur Yildirim, Katrina Zhang

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

2018

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

Proceedings of the Photonics in Switching and Computing, 2018