z-logo
open-access-imgOpen Access
Twisted GFSR generators
Author(s) -
Makoto Matsumoto,
Yoshiharu Kurita
Publication year - 1992
Publication title -
acm transactions on modeling and computer simulation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.38
H-Index - 51
eISSN - 1558-1195
pISSN - 1049-3301
DOI - 10.1145/146382.146383
Subject(s) - pseudorandom number generator , initialization , randomness , trinomial , random number generation , sequence (biology) , generator (circuit theory) , computer science , upper and lower bounds , algorithm , pseudorandom generator theorem , shift register , pseudorandom binary sequence , mathematics , pseudorandom generator , arithmetic , discrete mathematics , binary number , power (physics) , chip , statistics , mathematical analysis , telecommunications , physics , quantum mechanics , biology , genetics , programming language
The generalized feed back shift register (GFSR) algorithm suggested by Lewis and Payne is a widely used pseudorandom number generator, but has the following serious drawbacks: (1) an initialization scheme to assure higher order equidistribution is involved and is time consuming; (2) each bit of the generated words constitutes an m-sequence based on a primitive trinomials, which shows poor randomness with respect to weight distribution; (3) a large working area is necessary; (4) the period of sequence is far shorter than the theoretical upper bound. This paper presents the twisted GFSR (TGFSR) algorithm, a slightly but essentially modified version of the GFSR, which solves all the above problems without loss of merit. Some practical TGFSR generators were implemented and passed strict empirical tests. These new generators are most suitable for simulation of a large distributive system, which requires a number of mutually independent pseudorandom number generators with compact size.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom