A New Look-Up Table Approach for High-Speed Finite Field Multiplication

B. K. Meher, P. Meher
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Abstract

This paper presents a new high-speed multiplier over GF(2^m) based on look-up table (LUT) approach. A straight-forward LUT-based multiplication requires a table of size (m x 2^m) bits for the Galois field of order m which is quite large for the fields of large orders recommended by the National Institute of Standards and Technology (NIST). Therefore, in this paper, we propose a digit-serial LUT-based technique, where certain number of operand bits are grouped into digits, and multiplication is performed in serial/parallel manner. We restrict the digit-size to 4 to store only 16 words in the LUT. We have also proposed a digit-parallel design to achieve higher speed than its digit-serial counterpart, which is very much useful for high-speed applications. We have chosen m=233 to satisfy the security requirements in elliptic curve cryptography, but our method can be used for other prime extensions, as well. We have estimated the area-time complexity of our designs in terms of LUT access-time and XOR-delay. The proposed LUT-based implementation will be useful for high-speed applications in elliptic curve cryptography and error control coding.
高速有限域乘法的一种新的查找表方法
本文提出了一种基于查找表(LUT)方法的GF(2^m)高速乘法器。一个直接的基于lut的乘法需要一个大小为(m x 2^m)位的表,用于m阶的伽罗瓦域,这对于国家标准与技术研究所(NIST)推荐的大阶域来说是相当大的。因此,在本文中,我们提出了一种基于数字串行lut的技术,该技术将一定数量的操作数位分组为数字,并以串行/并行的方式进行乘法运算。我们将数字大小限制为4,以便在LUT中仅存储16个单词。我们还提出了一种数字并行设计,以实现比数字串行更高的速度,这对于高速应用非常有用。我们选择m=233是为了满足椭圆曲线密码学中的安全要求,但是我们的方法也可以用于其他素数扩展。我们根据LUT访问时间和异或延迟估计了我们设计的区域时间复杂性。提出的基于lut的实现将有助于椭圆曲线加密和错误控制编码的高速应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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