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PARALLEL MULTIPLICATION IN F{sub}(2n) USING CONDENSED MATRIX REPRESENTATION

机译:使用浓缩矩阵表示在f {sub}(2n)中的并行乘法

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In this paper we explore a matrix representation of binary fields F{sub}(2n) defined by an irreducible trinomial P = X{sup}n + X{sup}k + 1. We obtain a multiplier with time complexity of T{sub}A + ([log_2 (n)])T{sub}X and space complexity of (2n - 1) n AND and (2n - 1)(n - 1) XOR. This multiplier reaches the lower bound on time complexity. Until now this was possible only for binary field defined by AOP (Silverman, 1999), which are quite few. The interest of this multiplier remains theoretical since the size of the architecture is roughly two times bigger than usual polynomial basis multiplier (Mastrovito, 1991; Koc and Sunar, 1999).
机译:在本文中,我们探索由不可缩短的三项式P = x {sup} n +×x + 1所定义的二进制字段f {sub}(2n)的矩阵表示。我们获得乘法器,其中T {sub的时间复杂度a +([log_2(n)])t {sub} x和(2n-1)n和(2n - 1)(n - 1)xor的空间复杂度。该乘数达到较低的时间复杂性。到目前为止,这只能用于由AOP(Silverman,1999)定义的二进制字段,这很少。这种乘数的利益仍然是理论,因为架构的大小大约比通常的多项式基础乘数大约两倍(Mastrovito,1991; Koc和Sunar,1999)。

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