ConvKyber: Unleashing the Power of AI Accelerators for Faster Kyber with Novel Iteration-based Approaches

ConvKyber: Unleashing the Power of AI Accelerators for Faster Kyber with Novel Iteration-based Approaches

The remarkable performance capabilities of AI accelerators offer promising opportunities for accelerating cryptographic algorithms, particularly in the context of lattice-based cryptography. However, current approaches to leveraging AI accelerators often remain at a rudimentary level of implementat...

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Bibliographic Details
Main Authors: Tian Zhou, Fangyu Zheng, Guang Fan, Lipeng Wan, Wenxu Tang, Yixuan Song, Yi Bian, Jingqiang Lin
Format: Article
Language:English
Published: Ruhr-Universität Bochum 2024-03-01
Series:Transactions on Cryptographic Hardware and Embedded Systems
Subjects:
Lattice-based Cryptography
GPUs
Tensor Core
Kyber
Online Access:https://tches.iacr.org/index.php/TCHES/article/view/11420

Internet

https://tches.iacr.org/index.php/TCHES/article/view/11420

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