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GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic
  Encryption

GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption

20 September 2023
Kaustubh Shivdikar
Yuhui Bao
R. Agrawal
M. Shen
Gilbert Jonatan
Evelio Mora
Alexander Ingare
Neal Livesay
José L. Abellán
John Kim
Ajay Joshi
David Kaeli
ArXivPDFHTML

Papers citing "GME: GPU-based Microarchitectural Extensions to Accelerate Homomorphic Encryption"

3 / 3 papers shown
Title
Leveraging ASIC AI Chips for Homomorphic Encryption
Leveraging ASIC AI Chips for Homomorphic Encryption
Jianming Tong
Tianhao Huang
Leo de Castro
Anirudh Itagi
Jingtian Dang
...
Asra Ali
Jevin Jiang
Arvind
G. Edward Suh
T. Krishna
41
0
0
13 Jan 2025
What Language Model to Train if You Have One Million GPU Hours?
What Language Model to Train if You Have One Million GPU Hours?
Teven Le Scao
Thomas Wang
Daniel Hesslow
Lucile Saulnier
Stas Bekman
...
Lintang Sutawika
Jaesung Tae
Zheng-Xin Yong
Julien Launay
Iz Beltagy
MoE
AI4CE
225
103
0
27 Oct 2022
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption
  (Extended Version)
F1: A Fast and Programmable Accelerator for Fully Homomorphic Encryption (Extended Version)
Axel S. Feldmann
Nikola Samardzic
A. Krastev
S. Devadas
R. Dreslinski
Karim M. El Defrawy
Nicholas Genise
Chris Peikert
Daniel Sánchez
35
251
0
11 Sep 2021
1