首页> 外文会议>International Conference on Computational Science and Its Applications - ICCSA 2003 Pt.1 May 18-21, 2003 Montreal, Canada >Efficient Architecture for Exponentiation and Division in GF(2~m) Using Irreducible AOP
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Efficient Architecture for Exponentiation and Division in GF(2~m) Using Irreducible AOP

机译:使用不可约AOP进行GF(2〜m)幂除法的高效架构

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The important arithmetic operations over finite fields include exponentiation, division, and inversion. An exponentiation operation can be implemented using a series of squaring and multiplication operations over GF(2~m) using a binary method, while division and inversion can be performed by the iterative application of an AB~2 operation. Hence, it is important to develop a fast algorithm and efficient hardware for squaring, multiplication, and AB~2 operations. The current paper presents new architectures for the simultaneous computation of multiplication and squaring operations, and the computation of an AB~2 operation over GF(2~m) generated by an irreducible AOP of degree m. The proposed architectures offer a significant improvement in reducing the hardware complexity compared with previous architectures, and can also be used as a kernel circuit for exponentiation, division, and inversion architectures. Furthermore, since the proposed architectures include regularity, modularity and concurrency, they can be easily designed on VLSI hardware and used in IC cards.
机译:有限域上的重要算术运算包括求幂,除法和求逆。可以使用二进制方法在GF(2〜m)上使用一系列平方和乘法运算来实现求幂运算,而除法和求逆可以通过AB〜2运算的迭代应用来执行。因此,开发用于平方,乘法和AB〜2运算的快速算法和高效硬件非常重要。当前论文提出了同时计算乘法和平方运算的新架构,以及由度为m的不可约AOP生成的GF(2〜m)上AB〜2运算的计算。与先前的体系结构相比,所提出的体系结构在降低硬件复杂性方面提供了重大改进,并且还可以用作求幂,除法和求逆体系结构的内核电路。此外,由于建议的体系结构包括规则性,模块化和并发性,因此可以轻松地在VLSI硬件上设计它们并在IC卡中使用它们。

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