ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.01968
  4. Cited By
Accelerating Number Theoretic Transformations for Bootstrappable
  Homomorphic Encryption on GPUs

Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs

3 December 2020
Sangpyo Kim
Wonkyung Jung
J. Park
Jung Ho Ahn
ArXivPDFHTML

Papers citing "Accelerating Number Theoretic Transformations for Bootstrappable Homomorphic Encryption on GPUs"

5 / 5 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
54
0
0
13 Jan 2025
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through
  Architecture-centric Analysis and Optimization
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization
Wonkyung Jung
Eojin Lee
Sangpyo Kim
Keewoo Lee
Namhoon Kim
Chohong Min
Jung Hee Cheon
Jung Ho Ahn
29
56
0
10 Mar 2020
HEAX: An Architecture for Computing on Encrypted Data
HEAX: An Architecture for Computing on Encrypted Data
M. Riazi
Kim Laine
Blake Pelton
Wei Dai
32
221
0
20 Sep 2019
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking
Zhe Jia
Marco Maggioni
Benjamin Staiger
D. Scarpazza
30
309
0
18 Apr 2018
A GPU Based Memory Optimized Parallel Method For FFT Implementation
A GPU Based Memory Optimized Parallel Method For FFT Implementation
Fan Zhang
Chen Hu
Q. Yin
Wei Hu
32
4
0
23 Jul 2017
1