July 10, 2023, 1:10 a.m. | Weihang Tan, Sin-Wei Chiu, Antian Wang, Yingjie Lao, Keshab K. Parhi

cs.CR updates on arXiv.org arxiv.org

High-speed long polynomial multiplication is important for applications in
homomorphic encryption (HE) and lattice-based cryptosystems. This paper
addresses low-latency hardware architectures for long polynomial modular
multiplication using the number-theoretic transform (NTT) and inverse NTT
(iNTT). Chinese remainder theorem (CRT) is used to decompose the modulus into
multiple smaller moduli. Our proposed architecture, namely PaReNTT, makes four
novel contributions. First, parallel NTT and iNTT architectures are proposed to
reduce the number of clock cycles to process the polynomials. This can enable …

addresses applications chinese crt encryption hardware high homomorphic encryption important latency low modular ntt speed system

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