基于Montgomery乘法算法的GF(2/sup K/)乘法器

A. Fournaris, O. Koufopavlou
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引用次数: 9

摘要

有限域算法在许多应用中日益成为一种非常突出的计算方法。最苛刻的有限域算术运算是乘法。本文提出了两种有限域乘法器结构和基于Montgomery乘法算法的VLSI实现方案。第一种架构(折叠)是为了最小化硅覆盖面积(栅极计数)而优化的,第二种架构(流水线)是为了减少乘法时间延迟而优化的。这两种架构都是根据门计数芯片覆盖面积和乘法时间延迟来测量的,与其他已知的乘法器相比,结果更加充分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GF(2/sup K/) multipliers based on Montgomery Multiplication Algorithm
Finite Field arithmetic is becoming increasingly a very prominent solution for calculations in many applications. The most demanding Finite Field arithmetic operation is multiplication. In this paper two Finite Field multiplier architectures and VLSI implementations are proposed using the Montgomery Multiplication Algorithm. The first architecture (Folded) is optimized in order to minimize the silicon covered area (gate count) and the second (Pipelined) is optimized in order to reduce the multiplication time delay. Both architectures are measured in terms of gate count-chip covered area and multiplication time delay and have more than adequate results in comparison with other known multipliers.
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