Fast normal random number generators on vector processors

Abstract

We consider pseudo-random number generators suitable for vector processors. In particular, we describe vectorised implementations of the Box-Muller and Polar methods, and show that they give good performance on the Fujitsu VP2200. We also consider some other popular methods, e.g. the Ratio method of Kinderman and Monahan (1977) (as improved by Leva (1992)), and the method of Von Neumann and Forsythe, and show why they are unlikely to be competitive with the Polar method on vector processors.

An old Technical Report, not published elsewhere. 6 pages. For details see http://wwwmaths.anu.edu.au/~brent/pub/pub141.html

Cited by in corpus (2)

• Some comments on C. S. Wallace's random number generators
• A fast vectorised implementation of Wallace's normal random number generator