SPRNG

Abstract

Monte Carlo calculations consume a large fraction of all supercomputing cycles. The accuracy of these computations is critically influenced by the quality of the random number generators used. While the issue of random number generation in sequential calculations has been well studied, albeit on less powerful computers, there has been comparatively less work done in the context of parallel Monte Carlo applications. SPRNG seeks to fill this gap by implementing parallel random number generators that satisfy certain requirements.

DateOfInformation

Tue Sep 16 09:12:10 1997

Domain

Numerical Programs and Routines!Miscellaneous

Name

SPRNG

TargetEnvironment

SPRNG has been ported to CRAY T3D, HP/Convex Exemplar, IBM SP2, SGI-CRAY Origin 2000 and SGI Power Challenge parallel computers. It has also been ported to HP and SUN workstations, and also to PCs running Linux. Further optimization on these and other platforms will be performed in future versions.

Webpage

http://www.ncsa.uiuc.edu/Apps/CMP/RNG/RNG-home.html

ContactIs

Ashok Srinivasan