大模的区域-时间可伸缩高基数Montgomery模乘法器

Venkata Reddy Kolagatla, Vivian Desalphine, D. Selvakumar
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引用次数: 1

摘要

RSA和ECC采用大模量和字段大小是满足当今安全需求和目标的标准。模块化乘法(MM)是两者的关键计算单元,需要大量的硬件资源(面积)并导致巨大的延迟。通常RSA和ECC分别采用Montgomery模乘法器和Interleaved模乘法器来设计高效的硬件。较低的面积时间(AT)产品是考虑延迟(计算一个MM的时间)和面积作为组合度量的关键设计度量。用于计算较高根的特定模量的部分积的组合电路增加了面积和关键路径,降低了频率和延迟。在这里,相对于基数而言,面积的增加主导了延迟的减少,从而导致给定模量的AT度量增加。本文提出了一种乘法因子的查表技术,用于计算MR-MMM(多基蒙哥马利模乘法器)中模的偏积。对于给定的较大模量,该方法通过增加基数来降低AT指标,从而实现AT可扩展硬件,并且已经在Virtex 7和6 fpga上进行了验证,其模量为256至4096,基数为2至212。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Area-Time Scalable High Radix Montgomery Modular Multiplier for Large Modulus
Adoption of large modulus and field sizes for RSA and ECC are of the norm for meeting present day’s security requirements and goals. Modular multiplication (MM) is the key computational unit for both and requires large hardware resources (area) and incurs huge latency. Typically, Montgomery Modular Multiplier and Interleaved Modular Multiplier are being adopted for RSA and ECC respectively for designing efficient hardware. Lower Area-time (AT) product is the key design metric to consider both latency (time to compute one MM) and area together as a combined metric. Combinational circuit to compute partial products of a particular modulus for higher radices increases area and critical path, reduces frequency, and latency. Here, the increase in area dominates the reduction in latency with respect to radix, resulting in an increased AT metric for the given modulus. This work presents a table look up technique for the multiplication factors which is used to compute partial products of modulus in MR-MMM (Multi-Radix Montgomery Modular Multiplier). This approach reduces the AT metrics with increasing radices for a given larger modulus enabling an AT scalable hardware and has been proven on Virtex 7 and 6 FPGAs for modulus 256 to 4096 with radices 2 to 212.
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