On the xorshift random number generators

Author:

Panneton François1,L'Ecuyer Pierre1

Affiliation:

1. Université de Montréal, Canada

Abstract

G. Marsaglia recently introduced a class of very fast xorshift random number generators, whose implementation uses three “xorshift” operations. They belong to a large family of generators based on linear recurrences modulo 2, which also includes shift-register generators, the Mersenne twister, and several others. In this article, we analyze the theoretical properties of xorshift generators, search for the best ones with respect to the equidistribution criterion, and test them empirically. We find that the vast majority of xorshift generators with only three xorshift operations, including those having good equidistribution, fail several simple statistical tests. We also discuss generators with more than three xorshifts.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Science Applications,Modelling and Simulation

Reference22 articles.

1. Note on Marsaglia's xorshift random number generators;Brent R. P.;J. Stat. Soft.,2004

2. Brent R. P. 2004b. Some uniform and normal random number generators. http://web.comlab.ox.ac.uk/oucl/work/richard.brent/random.html. Brent R. P. 2004b. Some uniform and normal random number generators. http://web.comlab.ox.ac.uk/oucl/work/richard.brent/random.html.

3. The k -distribution of generalized feedback shift register pseudorandom numbers

4. Knuth D. E. 1998. The Art of Computer Programming Volume 2: Seminumerical Algorithms Third ed. Addison-Wesley Reading Mass. Knuth D. E. 1998. The Art of Computer Programming Volume 2: Seminumerical Algorithms Third ed. Addison-Wesley Reading Mass.

5. L'Ecuyer P. 1996. Maximally equidistributed combined Tausworthe generators. Mathematics of Computation 65 213 203--213. 10.1090/S0025-5718-96-00696-5 L'Ecuyer P. 1996. Maximally equidistributed combined Tausworthe generators. Mathematics of Computation 65 213 203--213. 10.1090/S0025-5718-96-00696-5

Cited by 54 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Novel Pseudorandom Number Generator Based on the Conservative Chaotic System with Non-smooth Nonlinearities;Springer Proceedings in Physics;2024

2. XorshiftH128+: A hybrid random number generator for lightweight IoT;2023 IEEE International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings);2023-09-16

3. A Linear Recurrence-Based Pseudorandom Number Generator Optimized for Detector Emulators;IEEE Transactions on Nuclear Science;2023-08

4. Critical Ising system testing of high-quality random number generators;Journal of Statistical Mechanics: Theory and Experiment;2023-07-01

5. A Lightweight and Secure Communication Protocol for the IoT Environment;IEEE Transactions on Dependable and Secure Computing;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3