A Scalable RNS Montgomery Multiplier over F2m

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概要

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• This paper presents a fully parallelized and scalable RNS Montgomery multiplier over binary field. By generalizing the RNS Montgomery Multiplication (RNS MM) and elaborating a highly efficient RNS base selection, we are able to obtain a considerably high speed in our FPGA implementation experiments with acceptable circuit area and modest critical path delay. Furthermore, this design can be easily scalable by adjusting a variety of field sizes and field polynomials.

• The Institute of Electronics, Information and Communication Engineersの論文

著者

• Cheung Ray

  Department of Electronic Engineering, City University of Hong Kong

• Hu Jingwei

  School of Computer Science and Technology, Tianjin University

• Guo Wei

  School of Computer Science and Technology, Tianjin University

• Wei Jizeng

  School of Computer Science and Technology, Tianjin University

関連論文

• A Scalable RNS Montgomery Multiplier over F2m

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