FPGA上GF (2m)乘法器的研究

Haichour Amina Selma, M. Hamadouche
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引用次数: 1

摘要

有限域乘法是有限域算法中最重要的运算之一。本文比较了几种主要的GF (2m)乘法算法的结构和性能。在可重构电路(FPGA)上的硬件实现允许根据面积和时间复杂性评估架构乘法器的性能。结果表明,串行/顺序乘法器需要更少的面积,导致较小的计算缺陷,而并行/组合乘法器消耗更多的面积,但速度更快。因此,应该使用混合乘法器在面积和速度之间进行权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A survey of GF (2m) multipliers on FPGA
Finite field multiplication is one of the most important operation in the finite field arithmetic. This paper presents a study that compares the architectures and the performances of some of the major GF (2m) multiplication algorithms. Hardware implementation on a reconfigurable circuit (FPGA) allowed assessment of the performance of architecture multipliers in terms of area and time complexities. Results show that serial/sequential multipliers require less area and lead to a small computational drawback, whereas parallel/combinational multipliers consume more area but are faster. Thus a trade-off between area and speed should be obtained using hybrid multipliers.
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