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Improving radix-4 feedforward scalable montgomery modular multiplier by precomputation and double booth-encodings

机译:通过预计算和双展位编码来改善radix-4前馈可扩展蒙哥马利模块乘法器

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Hardware implementation of multiprecision modular multiplications in public-key cryptography has led to various developments of scalable Montgomery modular multipliers, which are fast enough constrained from limited hardware resources. Among the candidates, the feedforward scalable Montgomery modular multiplier achieves low latency with simple logics and little change in the algorithm. However, the performance of high-radix feedforward scalable Montgomery modular multiplier is deteriorated by quotient determination. In this work, the method of double Booth-encodings and precomputation, which is firstly proposed for a traditional scalable Montgomery modular multiplier by Pinckney et al., is applied to radix-4 feedforward scalable Montgomery modular multiplier. FPGA implementation shows that the critical path is reduced by about 31% while the cost of hardware resources also decreases.
机译:公钥密码术中多精度模块化乘法的硬件实现已导致可伸缩蒙哥马利模块化乘法器的各种发展,这些发展很快地受到有限硬件资源的限制。在候选方案中,前馈可扩展的蒙哥马利模块化乘法器以简单的逻辑和很少的算法变化实现了低延迟。但是,商决定会降低高基数前馈可缩放蒙哥马利模乘器的性能。在这项工作中,首先由Pinckney等人针对传统的可伸缩Montgomery模数乘法器提出了双重Booth编码和预计算的方法,该方法适用于radix-4前馈可伸缩Montgomery模数乘法器。 FPGA实施表明,关键路径减少了约31%,同时硬件资源的成本也降低了。

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