LUT Optimization In Implementation Of Combinational Karatsuba Ofman On Virtex-6 FPGA

D. Kapoor, Rahul Yamasani, S. Saurav, Abhishek Bajpai
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引用次数: 1

Abstract

This paper discusses different approaches that allow optimizing the combinational logic used in Multipliers for Generic ECC (Elliptic Curve Cryptography) implementation in the Galois field GF(2n) . First,a Combinational Multiplier using Karatsuba Ofman logic with 2*2as a base multiplier has been studied. Proper utilization of Look Up Table (LUT) at base level results in effective optimization of the hardware resources. Hence in order to optimize LUT utilization, designs for combinational logic with 3*3 base and 2*3 base have been explored, keeping the LUT structure of Virtex-6 FPGA in mind. Comparisons have shown that, 3*3 base multipliers designed using Karatsuba Ofman algorithm outperformed 2*2 and 2*3 base Multiplier in terms of resource utilization. To further maximize utilization of hardware resources, the exploration has been further carried out using Shift and Add Algorithm(SAA) and it has been found that SAA remains optimized for lower length operands. Algorithmic and platform oriented optimization results in efficient hardware implementations. The final proposed design is a Hybrid Karatsuba Algorithm, which uses SAA at lower level and at higher level uses Karatsuba Ofman Logic. Again here using 3*3 bit Multiplier with SAA configuration is better than the other two. This approach stands a step closer for efficient implementations of fast algorithm on hardware based applications, as this hybrid multiplier is found to use least number of FPGA resources. All the operations in this paper have been performed based on Virtex-6 ML605 using ESD tool as XILINX 12.1
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在Virtex-6 FPGA上实现组合Karatsuba的LUT优化
本文讨论了在伽罗瓦域GF(2n)中对通用椭圆曲线加密(ECC)实现的乘法器中使用的组合逻辑进行优化的不同方法。首先,研究了以2*2为基乘法器的Karatsuba Ofman逻辑组合乘法器。在基础级适当地利用查找表(lookup Table, LUT)可以有效地优化硬件资源。因此,为了优化LUT的利用,在考虑Virtex-6 FPGA的LUT结构的情况下,探索了3*3基和2*3基组合逻辑的设计。比较表明,使用Karatsuba Ofman算法设计的3*3基乘法器在资源利用率方面优于2*2和2*3基乘法器。为了进一步最大限度地利用硬件资源,我们使用Shift and Add Algorithm(SAA)进行了进一步的探索,发现SAA对于较低长度的操作数仍然是优化的。面向算法和平台的优化导致了高效的硬件实现。最后提出的设计是一种混合Karatsuba算法,它在低级使用SAA,在高级使用Karatsuba Ofman逻辑。这里再次使用3*3位乘法器与SAA配置比其他两个更好。这种方法更接近于在基于硬件的应用程序上有效实现快速算法,因为这种混合乘法器使用的FPGA资源最少。本文的所有操作都是在XILINX 12.1操作系统下,使用ESD工具在Virtex-6 ML605上完成的
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