RPU: The Ring Processing Unit

Author:

Soni Deepraj1,Neda Negar1,Zhang Naifeng2,Reynwar Benedict3,Gamil Homer1,Heyman Benjamin1,Nabeel Mohammed1,Badawi Ahmad Al4,Polyakov Yuriy4,Canida Kellie3,Pedram Massoud5,Maniatakos Michail1,Cousins David Bruce4,Franchetti Franz2,French Matthew3,Schmidt Andrew3,Reagen Brandon1

Affiliation:

1. NYU

2. Carnegie Mellon University

3. USC Information Sciences Institute

4. Duality Technologies

5. USC Viterbi School of Engineering

Funder

Defense Advanced Research Projects Agency

Publisher

IEEE

Reference39 articles.

1. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy;gilad-bachrach;In Proceedings of The 33rd International Conference on Machine Learning,2016

2. Efficient number theoretic transform implementation on GPU for homomorphic encryption

3. CHET: an optimizing compiler for fully-homomorphic neural-network inferencing;dathathri;in Proceedings of the 40th ACM SIGPLAN Conference on Programming Language Design and Implementation PLDI,2019

4. Securing Approximate Homomorphic Encryption Using Differential Privacy

5. Privacy-Preserving Machine Learning With Fully Homomorphic Encryption for Deep Neural Network

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1. Private pathological assessment via machine learning and homomorphic encryption;BioData Mining;2024-09-10

2. CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption;2024 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS);2024-05-05

3. Optimizing Constrained-Modulus Barrett Multiplier for Power and Flexibility;2023 IFIP/IEEE 31st International Conference on Very Large Scale Integration (VLSI-SoC);2023-10-16

4. Generating High-Performance Number Theoretic Transform Implementations for Vector Architectures;2023 IEEE High Performance Extreme Computing Conference (HPEC);2023-09-25

5. Quantifying the Overheads of Modular Multiplication;2023 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED);2023-08-07

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