用于FGPA实现的高速高精度无重叠karatsuba有限场乘法器

Arun Kumar R. E, Amutha S.
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引用次数: 0

摘要

有限域算法在许多应用中日益成为一种非常突出的计算方法。本文比较了6种不同乘法器(Mastrovito乘法器、Paar-Roelse乘法器、Massey- Omura乘法器、Hasan-Masoleh乘法器、Berlekamp乘法器和Karatsuba乘法器)的复杂度和时延。本文还提出了一种基于Karatsuba乘法算法的改进乘法器。为了优化Karatsuba乘法算法,将乘积项拆分为两种可选形式,并以重复的方式表示所有项。改进后的结构比现有的Karatsuba乘法器节省了14.9%的计算时间,减少了45.5%的切片。所提出的架构已通过Xilinx ISE设计套件对Spartan & Vertex器件系列进行了模拟和合成。新架构简单易用。提出的改进Karatsuba乘法器(MKM)也被用于DSP应用的圆卷积计算。在Spartan3E FPGA器件家族中,使用改进的Karatsuba算法(MKA)计算8位圆卷积的速度比Karatsuba算法(KA)快26.5%。与现有的基于KA的卷积相比,它消耗的切片也减少了61.7%。
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An Efficient of High-Speed and High precision Overlap-Free Karatsuba-Based Finite-Field Multiplier for FGPA Implementation
Finite field arithmetic is becoming increasingly a very prominent solution for calculations in many applications. In this paper, complexity and delay of six different multipliers (Mastrovito multiplier, Paar-Roelse multiplier, Massey- Omura multiplier, Hasan-Masoleh multiplier, Berlekamp multiplier and Karatsuba multiplier) are compared. Also this paper presents a modified multiplier based on Karatsuba multiplication algorithm. To optimize the Karatsuba multiplication algorithm, the product terms are splited into two alternative forms and all the terms are expressed in the repeated fashion. This Modified architecture saves the 14.9% computation time and it consumes 45.5% less slices than existing Karatsuba multiplier. The proposed architecture has been simulated and synthesized by Xilinx ISE design suite for Spartan & Vertex device family. The new architecture is Simple & easy. The proposed Modified Karatsuba Multiplier (MKM) is also applied to compute the circular convolution for DSP application. In Spartan3E FPGA device family, computation of 8-bit circular convolution using Modified Karatsuba Algorithm (MKA) is 26.5% faster than Karatsuba Algorithm (KA). It also consumes 61.7% less slices than existing KA based Convolution.
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