节省时间执行素数生成器使用位数组结构

Letnan Kolonel Elektronika Imat Rakhmat Hidayat, M.Eng
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引用次数: 0

摘要

素数在数论计算机科学的发展中,非常需要一种能够产生硬件层的有效性和使用效率的工具,现有的工具可以用来唤醒规则的素数序列模式,用每一个具有相等类型的数据元素组成包含细分变量的数据集合的位数组表示方法,也可以用于生成数列。素数非常有用,可以从算法中作为基础来应用,密钥公开创建,哈希表,如果应用最好的算法,因此是素数,以便可以最大限度地减少碰撞(碰撞)的发生,在确定素数的模式序列时,大小度量非常大并不是一件容易的工作。从而成为必须以最快的方式查找的问题,以产生素数数列,其大小度量很大,串行使用处理器查找素数数列,其效率较低,需要足够长的计算时间,因此也复数使用处理器查找素数数列将涉及到价格问题,对软件有新的要求。从而利用质数生成器利用结构位数组克服了在不使用复数处理器的情况下查找素数模式序列的困难,并达到了时间复杂度最小化的目的。从研究数据中可以看出,使用输入Atkins 676,999,999的算法,从研究中节省的执行时间。4235747.00执行耗时数秒。而该算法通过使用数组输入位676,999,999。13955.00执行耗时几秒。因此,执行时间的差异为4221792.00秒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SAVINGS TIME EXECUTION PRIMA NUMBERS GENERATOR USING BIT-ARRAY STRUCTURE
Prime number in growth computer science of number theory and very need to yield an tool which can yield an hardware storey level effectiveness use efficiency and Existing Tools can be used to awaken regular prime number sequence pattern, structure bit-array represent containing subdividing variables method of data aggregate with every data element which have type of equal, and also can be used in moth-balls the yielded number sequence. Prime number very useful to be applied by as bases from algorithm kriptografi key public creation, hash table, best algorithm if applied hence is prime number in order to can minimize collision (collisions) will happen, in determining pattern sequence of prime number which size measure is very big is not an work easy to, so that become problems which must be searched by the way of quickest to yield sequence of prime number which size measure is very big Serial use of prosesor in seeking sequence prime number which size measure is very big less be efficient remember needing of computing time which long enough, so also plural use prosesor in seeking sequence of prime number will concerning to price problem and require software newly. So that by using generator of prime number use structure bit-array expected by difficulty in searching pattern sequence of prime number can be overcome though without using plural processor even if, as well as time complexity minimization can accessed. Execution time savings gained from the research seen from the research data, using the algorithm on the input Atkins 676,999,999. 4235747.00 execution takes seconds. While the algorithm by using an array of input bits 676,999,999. 13955.00 execution takes seconds. So that there is a difference of execution time for 4221792.00 seconds.
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