大整数分解算法设计与实现的最新进展

M. Wunderlich
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引用次数: 3

摘要

对于大合数的一般分解方法,最新的、可能也是最快的是卡尔·波默兰斯的二次筛法。本文描述了该算法的一种变体,并提出了一种结合快速流水线计算机(如Cray I)和高速高度并行阵列处理器(如Goodyear MPP)的实现方法。一项基于经验数据而非渐近估计的运行时间分析表明,这种方法可以在短短10分钟内分解一个60位数的数字,而一个100位数的数字只需60天的连续计算机时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recent Advances in the design and implementation of Large Integer Factorization Algorithms
The latest and possibly fastest of the general factoring methods for large composite numbers is the quadratic sieve of Carl Pomerance. A variation of the algorithm is described and an implementation is suggested which combines the forces of a fast pipeline computer such as the Cray I, and a high speed highly parallel array processor such as the Goodyear MPP. A running time analysis, which is based on empirical data rather than asymptotic estimates, suggests that this method could be capable of factoring a 60 digit number in as little as 10 minutes and a 100 digit number is as little as 60 days of continuous computer time.
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