GF(${2^{m}}$)上乘法和平方的高效并行和串行收缩结构

IF 1.7 Q2 Engineering
Atef Ibrahim
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引用次数: 9

摘要

本文给出了GF(${2^{m}}$)上乘法和平方组合的有效并行和串行收缩结构。所提出的结构具有同时计算模乘法和平方的优点,可以快速执行模幂运算。它们为两个操作共享相同的硬件组件,这使得它们比为每个操作使用单独的结构节省更多的空间。此外,它们具有规则的结构和处理元素之间的本地通信,这使得它们更有效地实现VLSI。对所提设计和现有最新、最高效设计的复杂度分析表明,所提串行设计的面积时间复杂度比先前报道的最新串行设计低31.7%。此外,与现有的高效并行设计相比,本文提出的并行设计的AT复杂度至少降低了96.9%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient Parallel and Serial Systolic Structures for Multiplication and Squaring Over GF( ${2^{m}}$ )
In this paper, we present efficient parallel and serial systolic structures for combined multiplication and squaring over GF( ${2^{m}}$ ). The proposed structures have the advantage of computing both modular multiplication and squaring simultaneously for fast execution of modular exponentiation. They share the same hardware components for both operations and this gives them the advantage of saving more space than the case of using a separate structure for each operation. In addition, they have a regular structure and local communication between the processing elements and this makes them more efficient for VLSI implementation. Complexity analysis of the proposed designs and the existing most recent and efficient designs indicates that the proposed serial design has 31.7% lower area-time (AT) complexity than the previously reported most recent serial one. In addition, the proposed parallel design has a significant lower AT complexity over the recent efficient parallel designs by at least 96.9%.
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来源期刊
自引率
0.00%
发文量
27
期刊介绍: The Canadian Journal of Electrical and Computer Engineering (ISSN-0840-8688), issued quarterly, has been publishing high-quality refereed scientific papers in all areas of electrical and computer engineering since 1976
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