Title :
Random number generators with inherent parallel properties
Author :
Yu, T.L. ; Yu, K.W.
Author_Institution :
Dept. of Comput. Sci., California State Univ., San Bernardino, CA, USA
Abstract :
By incorporating the spatial variable into a one-dimensional array of numbers, it is possible to generalize the well-known linear congruential random-number generator (LCG) to the spatially coupled random-number generator (SCG) given by Xi(t+1)=f[{Xi( t)}] (mod m) where i=1, 2, . . ., n can be regarded as spatial sites and f is a function of {X i} that denotes a set containing Xi and its neighbors. It was found that SCGs in general possess a very long period. Statistical and spectral tests on these SCGs show that they are excellent pseudorandom-number generators. The SCGs also have inherent parallel properties and are particularly efficient when implemented on parallel machines
Keywords :
random number generation; linear congruential random-number generator; one-dimensional array of numbers; parallel properties; spatial variable; spectral tests; statistical tests; Computational modeling; Computer simulation; Equations; Neural networks; Numerical analysis; Parallel machines; Random number generation; Sampling methods; Simulated annealing; Testing;
Conference_Titel :
Frontiers of Massively Parallel Computation, 1990. Proceedings., 3rd Symposium on the
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-2053-6
DOI :
10.1109/FMPC.1990.89433