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Scalable and Unified Hardware Architecture for Montgomery Inversion Computation in GF(p) and GF(2n)

机译:GF(p)和GF(2n)中蒙哥马利反演计算的可扩展统一硬件架构

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Computing the inverse of a number in finite fields GF(p) or GF(2n) is equally important for cryptographiC applications.In this paper four optimized Montgomery inverse algorithms are proposed to achieve high speed and flexibility. Then a novel scalable and unified architecture for Montgomery inverse hardware that operates in both GF(p) and GF(2n)is proposed. The scalable design is the novel modification performed on the fixed hardware to make it occupy a small area and operate with better or similar speed, and it takes less number of clock cycle as the datapath of scalable design is large and can also achieve high clock frequency.Finally this work has been verified by modeling it in Verilog-HDL,implementing it under 0.18μm SMIC technology. The result indicates that our work has advanced performance than other works.
机译:对于密码学应用,计算有限域GF(p)或GF(2n)中数字的逆是同等重要的。本文提出了四种优化的蒙哥马利逆算法,以实现高速和灵活性。然后,提出了一种新的可伸缩且统一的蒙哥马利逆硬件架构,该架构可在GF(p)和GF(2n)中运行。可扩展设计是在固定硬件上进行的新颖修改,使其占用的面积较小,并且可以以更好或相似的速度运行,并且由于可扩展设计的数据路径较大并且还可以实现较高的时钟频率,因此占用较少的时钟周期最后,已通过在Verilog-HDL中对其进行建模并在0.18μmSMIC技术下实现了此工作,从而验证了这项工作。结果表明我们的作品比其他作品具有更高的表现。

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