Negar Neda

According to our database, Negar Neda authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption.

Negar Neda, Austin Ebel, Benedict Reynwar, Brandon Reagen

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2024

2023

RPU: The Ring Processing Unit.

Deepraj Soni, Negar Neda, Naifeng Zhang, Benedict Reynwar, Homer Gamil, Benjamin Heyman, Mohammed Thari Nabeel, Ahmad Al Badawi, Yuriy Polyakov, Kellie Canida, Massoud Pedram, Michail Maniatakos, David Bruce Cousins, Franz Franchetti, Matthew French, Andrew G. Schmidt, Brandon Reagen

IACR Cryptol. ePrint Arch., 2023

TREBUCHET: Fully Homomorphic Encryption Accelerator for Deep Computation.

David Bruce Cousins, Yuriy Polyakov, Ahmad Al Badawi, Matthew French, Andrew G. Schmidt, Ajey P. Jacob, Benedict Reynwar, Kellie Canida, Akhilesh R. Jaiswal, Clynn Mathew, Homer Gamil, Negar Neda, Deepraj Soni, Michail Maniatakos, Brandon Reagen, Naifeng Zhang, Franz Franchetti, Patrick Brinich, Jeremy Johnson, Patrick Broderick, Mike Franusich, Bo Zhang, Zeming Cheng, Massoud Pedram

IACR Cryptol. ePrint Arch., 2023

Quantifying the Overheads of Modular Multiplication.

Deepraj Soni, Mohammed Nabeel, Negar Neda, Ramesh Karri, Michail Maniatakos, Brandon Reagen

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2023

Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures.

Naifeng Zhang, Austin Ebel, Negar Neda, Patrick Brinich, Benedict Reynwar, Andrew G. Schmidt, Mike Franusich, Jeremy Johnson, Brandon Reagen, Franz Franchetti

Proceedings of the IEEE High Performance Extreme Computing Conference, 2023

Towards Fast and Scalable Private Inference.

Jianqiao Mo, Karthik Garimella, Negar Neda, Austin Ebel, Brandon Reagen

Proceedings of the 20th ACM International Conference on Computing Frontiers, 2023

2022

Multi-Precision Deep Neural Network Acceleration on FPGAs.

Negar Neda, Salim Ullah, Azam Ghanbari, Hoda Mahdiani, Mehdi Modarressi, Akash Kumar

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022