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Digit-Level Semi-Systolic and Systolic Structures for the Shifted Polynomial Basis Multiplication Over Binary Extension Fields

机译:二元扩展域上移位多项式基乘的数字级半收缩和收缩结构

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Finite field multiplication is one of the most important operations in the finite field arithmetic. In this paper, we study semi-systolic and systolic implementations of the shifted polynomial basis multiplication and propose low time complexity semi-systolic and systolic array structures. We show that our proposed semi-systolic multiplier is faster than its existing counterparts available in the literature. Our application-specified integrated circuit (ASIC) implementation of the proposed semi-systolic multiplier demonstrates that reduction in time complexity is achieved without imposing hardware overhead. Furthermore, our proposed systolic array shifted polynomial basis (SPB) multiplier has a low time complexity for general irreducible polynomials.
机译:有限域乘法是有限域算术中最重要的运算之一。在本文中,我们研究了移位多项式基乘的半收缩和收缩实现,并提出了低时间复杂度的半收缩和收缩数组结构。我们表明,我们提出的半收缩期乘法器比文献中现有的半收缩期乘法器更快。我们对拟议的半脉动乘法器的专用集成电路(ASIC)实现证明,在不增加硬件开销的情况下,可以降低时间复杂度。此外,我们提出的脉动阵列位移多项式基乘(SPB)乘数对于一般不可约多项式的时间复杂度较低。

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