FPGA Implementation of High-Performance Montgomery Modular Multiplication with Adaptive Hold Logic

Bharath Naidu Vangapandu, Anu Chalil
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Abstract

This paper provides an efficient Montgomery modular multiplication technique, such as high-performance Montgomery modular multiplier, which is the most important arithmetic functional unit. The throughput of this multiplier is critical to the overall performance of these digital multiplication systems, which is measured in bits per second. The suggested work in this study proposes a Montgomery modular multiplier architecture that incorporates a unique adaptive hold logic (AHL) circuit to achieve a high level of performance. Because by the variable latency, the multiplier can deliver increased throughput while also adjusting the AHL circuit to prevent performance decline caused by the aging aware effect. Therefore, this proposed multiplier was developed using Verilog HDL and Synthesized in a Xilinx FPGA, which reduced the number of clock cycles required for operand pre-computation and conversion of format. As a result, high throughput can be achieved by hiding the additional clock cycles required for operand pre-computation and conversion of format. According to the experimental findings, our suggested design with 32-bit multipliers may provide up to a significant performance boost when compared to current 32-bit Montgomery Multipliers in terms of speed and efficiency.
具有自适应保持逻辑的高性能蒙哥马利模乘法的FPGA实现
本文提出了一种高效的蒙哥马利模乘法技术,即高性能蒙哥马利模乘法器,它是最重要的算术函数单元。该乘法器的吞吐量对这些数字乘法系统的整体性能至关重要,其以每秒比特数为单位进行测量。本研究建议的工作提出了Montgomery模块化乘法器架构,该架构包含独特的自适应保持逻辑(AHL)电路,以实现高水平的性能。因为通过可变延迟,乘法器可以提供更高的吞吐量,同时还可以调整AHL电路,以防止老化感知效应引起的性能下降。因此,采用Verilog HDL开发了该乘法器,并在Xilinx FPGA中进行了合成,减少了操作数预计算和格式转换所需的时钟周期数。因此,可以通过隐藏操作数预计算和格式转换所需的额外时钟周期来实现高吞吐量。根据实验结果,与目前的32位Montgomery乘法器相比,我们建议的32位乘法器设计在速度和效率方面可以提供显著的性能提升。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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