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A Non-redundant and Efficient Architecture for Karatsuba-Ofman Algorithm

机译:Karatsuba-Ofman算法的非冗余高效架构

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The divide-and-conquer method is efficiently used in parallel multiplier over finite field GF(2~n). Leone proposed optimal stop condition for iteration of Karatsuba-Ofman algorithm (KOA). Multi-segment Karatsuba method (MSK) is proposed by Ernst et al. In this paper, we propose a Non-Redundant Karatsuba-Ofman algorithm (NRKOA) with removing redundancy operations, and design a parallel hardware architecture based on the proposed algorithm. Comparing with existing related Karatsuba architectures with the same time complexity, the proposed architecture reduces the area complexity. The proposed NRKOA multiplier has more efficient the space complexity than the previous KOA multipliers, where n is a prime. Furthermore, the space complexity of the proposed multiplier is reduced by 43% in the best case.
机译:分割和征管方法在有限字段GF(2〜N)上以平行乘法器有效地使用。 Leone提出了Karatsuba-Ofman算法迭代的最佳停止条件(KOA)。 ERNST等人提出了多段Karatsuba方法(MSK)。在本文中,我们提出了一种非冗余的Karatsuba-Ofman算法(NRKOA),并通过删除冗余操作,并根据所提出的算法设计并行硬件架构。与具有相同时间复杂性的现有相关Karatsuba架构相比,所提出的架构可降低面积复杂性。所提出的NRKOA乘数比以前的KOA乘法器更有效的空间复杂器,其中n是素数。此外,所提出的乘数的空间复杂度在最佳情况下减少了43%。

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