特殊高斯整数模的高效约简算法

Malek Safieh, F. D. Santis
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引用次数: 0

摘要

高斯整数是以整数为实部和虚部的复数的子集。当对高斯整数进行模运算时,根据模数的具体选择,它们形成高斯整数环或高斯整数场。高斯整数的算术可以在操作数大小和改进的并行性方面提供优势,由于实部和虚部的独立计算。然而,尽管高斯整数模约是实现有限高斯整数环和场计算的基本运算,但有效的高斯整数模约算法迄今尚未得到广泛的研究。在这项工作中,我们填补了这一空白,并提出了特殊形式的高斯整数模的有效约简算法。事实上,我们证明了存在不同类别的高斯整数模,允许非常快速的约简。最后,我们证明了与目前已知的通用高斯整数约简方法(例如基于montgomery的高斯整数约简)相比,所提出算法的计算复杂度显著降低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Reduction Algorithms for Special Gaussian Integer Moduli
Gaussian integers are a subset of the complex numbers with integers as real and imaginary parts. When Gaussian integers are equipped with modulo operations, they form Gaussian integer rings or fields, depending on the specific choice of the modulus. Arithmetic on Gaussian integers can offer advantages in terms of operand size and improved parallelism, due to independent calculation of the real and imaginary parts. However, although Gaussian integer modulo reduction is the fundamental operation to enable computations in finite Gaussian integer rings and fields, efficient algorithms for Gaussian integer modulo reduction have not been widely investigated so far. In this work, we fill this gap and present efficient reduction algorithms for Gaussian integer moduli of special forms. Indeed, we demonstrate that there exist different classes of Gaussian integer moduli allowing for very fast reductions. Finally, we show that the computational complexity of the proposed algorithm is significantly reduced compared with generic Gaussian integer reduction methods known to date, e.g., Montgomery-based reduction for Gaussian integers.
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